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stringlengths 1
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| docstring
stringlengths 0
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stringlengths 4
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stringlengths 2
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19,123 | pygal.graph.histogram | Histogram | Histogram chart class | class Histogram(Dual, Bar):
"""Histogram chart class"""
_series_margin = 0
@cached_property
def _values(self):
"""Getter for secondary series values (flattened)"""
return self.yvals
@cached_property
def _secondary_values(self):
"""Getter for secondary series values (flattened)"""
return [
val[0] for serie in self.secondary_series for val in serie.values
if val[0] is not None
]
@cached_property
def xvals(self):
"""All x values"""
return [
val for serie in self.all_series for dval in serie.values
for val in dval[1:3] if val is not None
]
@cached_property
def yvals(self):
"""All y values"""
return [
val[0] for serie in self.series for val in serie.values
if val[0] is not None
]
def _bar(self, serie, parent, x0, x1, y, i, zero, secondary=False):
"""Internal bar drawing function"""
x, y = self.view((x0, y))
x1, _ = self.view((x1, y))
width = x1 - x
height = self.view.y(zero) - y
series_margin = width * self._series_margin
x += series_margin
width -= 2 * series_margin
r = serie.rounded_bars * 1 if serie.rounded_bars else 0
alter(
self.svg.transposable_node(
parent,
'rect',
x=x,
y=y,
rx=r,
ry=r,
width=width,
height=height,
class_='rect reactive tooltip-trigger'
), serie.metadata.get(i)
)
return x, y, width, height
def bar(self, serie, rescale=False):
"""Draw a bar graph for a serie"""
serie_node = self.svg.serie(serie)
bars = self.svg.node(serie_node['plot'], class_="histbars")
points = serie.points
for i, (y, x0, x1) in enumerate(points):
if None in (x0, x1, y) or (self.logarithmic and y <= 0):
continue
metadata = serie.metadata.get(i)
bar = decorate(
self.svg, self.svg.node(bars, class_='histbar'), metadata
)
val = self._format(serie, i)
bounds = self._bar(
serie, bar, x0, x1, y, i, self.zero, secondary=rescale
)
self._tooltip_and_print_values(
serie_node, serie, bar, i, val, metadata, *bounds
)
def _compute(self):
"""Compute x/y min and max and x/y scale and set labels"""
if self.xvals:
xmin = min(self.xvals)
xmax = max(self.xvals)
xrng = (xmax - xmin)
else:
xrng = None
if self.yvals:
ymin = min(min(self.yvals), self.zero)
ymax = max(max(self.yvals), self.zero)
yrng = (ymax - ymin)
else:
yrng = None
for serie in self.all_series:
serie.points = serie.values
if xrng:
self._box.xmin, self._box.xmax = xmin, xmax
if yrng:
self._box.ymin, self._box.ymax = ymin, ymax
if self.range and self.range[0] is not None:
self._box.ymin = self.range[0]
if self.range and self.range[1] is not None:
self._box.ymax = self.range[1]
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19,129 | pygal.graph.histogram | _bar | Internal bar drawing function | def _bar(self, serie, parent, x0, x1, y, i, zero, secondary=False):
"""Internal bar drawing function"""
x, y = self.view((x0, y))
x1, _ = self.view((x1, y))
width = x1 - x
height = self.view.y(zero) - y
series_margin = width * self._series_margin
x += series_margin
width -= 2 * series_margin
r = serie.rounded_bars * 1 if serie.rounded_bars else 0
alter(
self.svg.transposable_node(
parent,
'rect',
x=x,
y=y,
rx=r,
ry=r,
width=width,
height=height,
class_='rect reactive tooltip-trigger'
), serie.metadata.get(i)
)
return x, y, width, height
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19,130 | pygal.graph.histogram | _compute | Compute x/y min and max and x/y scale and set labels | def _compute(self):
"""Compute x/y min and max and x/y scale and set labels"""
if self.xvals:
xmin = min(self.xvals)
xmax = max(self.xvals)
xrng = (xmax - xmin)
else:
xrng = None
if self.yvals:
ymin = min(min(self.yvals), self.zero)
ymax = max(max(self.yvals), self.zero)
yrng = (ymax - ymin)
else:
yrng = None
for serie in self.all_series:
serie.points = serie.values
if xrng:
self._box.xmin, self._box.xmax = xmin, xmax
if yrng:
self._box.ymin, self._box.ymax = ymin, ymax
if self.range and self.range[0] is not None:
self._box.ymin = self.range[0]
if self.range and self.range[1] is not None:
self._box.ymax = self.range[1]
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19,167 | pygal.graph.histogram | bar | Draw a bar graph for a serie | def bar(self, serie, rescale=False):
"""Draw a bar graph for a serie"""
serie_node = self.svg.serie(serie)
bars = self.svg.node(serie_node['plot'], class_="histbars")
points = serie.points
for i, (y, x0, x1) in enumerate(points):
if None in (x0, x1, y) or (self.logarithmic and y <= 0):
continue
metadata = serie.metadata.get(i)
bar = decorate(
self.svg, self.svg.node(bars, class_='histbar'), metadata
)
val = self._format(serie, i)
bounds = self._bar(
serie, bar, x0, x1, y, i, self.zero, secondary=rescale
)
self._tooltip_and_print_values(
serie_node, serie, bar, i, val, metadata, *bounds
)
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19,183 | pygal.graph.horizontalbar | HorizontalBar | Horizontal Bar graph | class HorizontalBar(HorizontalGraph, Bar):
"""Horizontal Bar graph"""
def _plot(self):
"""Draw the bars in reverse order"""
for serie in self.series[::-1]:
self.bar(serie)
for serie in self.secondary_series[::-1]:
self.bar(serie, True)
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19,186 | pygal.graph.horizontal | __init__ | Set the horizontal flag to True | def __init__(self, *args, **kwargs):
"""Set the horizontal flag to True"""
self.horizontal = True
super(HorizontalGraph, self).__init__(*args, **kwargs)
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19,188 | pygal.graph.horizontal | _axes | Set the _force_vertical flag when rendering axes | def _axes(self):
"""Set the _force_vertical flag when rendering axes"""
self.view._force_vertical = True
super(HorizontalGraph, self)._axes()
self.view._force_vertical = False
| (self) | [
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19,201 | pygal.graph.horizontal | _get_x_label | Convenience function to get the x_label of a value index | def _get_x_label(self, i):
"""Convenience function to get the x_label of a value index"""
if not self.x_labels or not self._y_labels or len(self._y_labels) <= i:
return
return self._y_labels[i][0]
| (self, i) | [
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19,209 | pygal.graph.horizontalbar | _plot | Draw the bars in reverse order | def _plot(self):
"""Draw the bars in reverse order"""
for serie in self.series[::-1]:
self.bar(serie)
for serie in self.secondary_series[::-1]:
self.bar(serie, True)
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19,211 | pygal.graph.horizontal | _post_compute | After computations transpose labels | def _post_compute(self):
"""After computations transpose labels"""
self._x_labels, self._y_labels = self._y_labels, self._x_labels
self._x_labels_major, self._y_labels_major = (
self._y_labels_major, self._x_labels_major
)
self._x_2nd_labels, self._y_2nd_labels = (
self._y_2nd_labels, self._x_2nd_labels
)
self.show_y_guides, self.show_x_guides = (
self.show_x_guides, self.show_y_guides
)
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19,216 | pygal.graph.horizontal | _set_view | Assign a horizontal view to current graph | def _set_view(self):
"""Assign a horizontal view to current graph"""
if self.logarithmic:
view_class = HorizontalLogView
else:
view_class = HorizontalView
self.view = view_class(
self.width - self.margin_box.x, self.height - self.margin_box.y,
self._box
)
| (self) | [
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19,243 | pygal.graph.horizontalline | HorizontalLine | Horizontal Line graph | class HorizontalLine(HorizontalGraph, Line):
"""Horizontal Line graph"""
def _plot(self):
"""Draw the lines in reverse order"""
for serie in self.series[::-1]:
self.line(serie)
for serie in self.secondary_series[::-1]:
self.line(serie, True)
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19,249 | pygal.graph.line | _compute | Compute y min and max and y scale and set labels | def _compute(self):
"""Compute y min and max and y scale and set labels"""
# X Labels
if self.horizontal:
self._x_pos = [
x / (self._len - 1) for x in range(self._len)
][::-1] if self._len != 1 else [.5] # Center if only one value
else:
self._x_pos = [
x / (self._len - 1) for x in range(self._len)
] if self._len != 1 else [.5] # Center if only one value
self._points(self._x_pos)
if self.include_x_axis:
# Y Label
self._box.ymin = min(self._min or 0, 0)
self._box.ymax = max(self._max or 0, 0)
else:
self._box.ymin = self._min
self._box.ymax = self._max
| (self) | [
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19,269 | pygal.graph.horizontalline | _plot | Draw the lines in reverse order | def _plot(self):
"""Draw the lines in reverse order"""
for serie in self.series[::-1]:
self.line(serie)
for serie in self.secondary_series[::-1]:
self.line(serie, True)
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] |
19,302 | pygal.graph.horizontalstackedbar | HorizontalStackedBar | Horizontal Stacked Bar graph | class HorizontalStackedBar(HorizontalGraph, StackedBar):
"""Horizontal Stacked Bar graph"""
| (*args, **kwargs) | [
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19,308 | pygal.graph.stackedbar | _bar | Internal stacking bar drawing function | def _bar(self, serie, parent, x, y, i, zero, secondary=False):
"""Internal stacking bar drawing function"""
if secondary:
cumulation = (
self.secondary_negative_cumulation
if y < self.zero else self.secondary_positive_cumulation
)
else:
cumulation = (
self.negative_cumulation
if y < self.zero else self.positive_cumulation
)
zero = cumulation[i]
cumulation[i] = zero + y
if zero == 0:
zero = self.zero
y -= self.zero
y += zero
width = (self.view.x(1) - self.view.x(0)) / self._len
x, y = self.view((x, y))
y = y or 0
series_margin = width * self._series_margin
x += series_margin
width -= 2 * series_margin
if self.secondary_series:
width /= 2
x += int(secondary) * width
serie_margin = width * self._serie_margin
x += serie_margin
width -= 2 * serie_margin
height = self.view.y(zero) - y
r = serie.rounded_bars * 1 if serie.rounded_bars else 0
self.svg.transposable_node(
parent,
'rect',
x=x,
y=y,
rx=r,
ry=r,
width=width,
height=height,
class_='rect reactive tooltip-trigger'
)
return x, y, width, height
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19,309 | pygal.graph.stackedbar | _compute | Compute y min and max and y scale and set labels | def _compute(self):
"""Compute y min and max and y scale and set labels"""
positive_vals, negative_vals = self._get_separated_values()
if self.logarithmic:
positive_vals = list(
filter(lambda x: x > self.zero, positive_vals)
)
negative_vals = list(
filter(lambda x: x > self.zero, negative_vals)
)
self._compute_box(positive_vals, negative_vals)
positive_vals = positive_vals or [self.zero]
negative_vals = negative_vals or [self.zero]
self._x_pos = [
x / self._len for x in range(self._len + 1)
] if self._len > 1 else [0, 1] # Center if only one value
self._points(self._x_pos)
self.negative_cumulation = [0] * self._len
self.positive_cumulation = [0] * self._len
if self.secondary_series:
positive_vals, negative_vals = self._get_separated_values(True)
positive_vals = positive_vals or [self.zero]
negative_vals = negative_vals or [self.zero]
self.secondary_negative_cumulation = [0] * self._len
self.secondary_positive_cumulation = [0] * self._len
self._pre_compute_secondary(positive_vals, negative_vals)
self._x_pos = [(i + .5) / self._len for i in range(self._len)]
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19,310 | pygal.graph.stackedbar | _compute_box | Compute Y min and max | def _compute_box(self, positive_vals, negative_vals):
"""Compute Y min and max"""
if self.range and self.range[0] is not None:
self._box.ymin = self.range[0]
else:
self._box.ymin = negative_vals and min(
min(negative_vals), self.zero
) or self.zero
if self.range and self.range[1] is not None:
self._box.ymax = self.range[1]
else:
self._box.ymax = positive_vals and max(
max(positive_vals), self.zero
) or self.zero
| (self, positive_vals, negative_vals) | [
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19,321 | pygal.graph.stackedbar | _get_separated_values | Separate values between positives and negatives stacked | def _get_separated_values(self, secondary=False):
"""Separate values between positives and negatives stacked"""
series = self.secondary_series if secondary else self.series
transposed = list(zip(*[serie.values for serie in series]))
positive_vals = [
sum([val for val in vals if val is not None and val >= self.zero])
for vals in transposed
]
negative_vals = [
sum([val for val in vals if val is not None and val < self.zero])
for vals in transposed
]
return positive_vals, negative_vals
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19,330 | pygal.graph.stackedbar | _plot | Draw bars for series and secondary series | def _plot(self):
"""Draw bars for series and secondary series"""
for serie in self.series[::-1 if self.stack_from_top else 1]:
self.bar(serie)
for serie in self.secondary_series[::-1 if self.stack_from_top else 1]:
self.bar(serie, True)
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] |
19,333 | pygal.graph.stackedbar | _pre_compute_secondary | Compute secondary y min and max | def _pre_compute_secondary(self, positive_vals, negative_vals):
"""Compute secondary y min and max"""
self._secondary_min = (
negative_vals and min(min(negative_vals), self.zero)
) or self.zero
self._secondary_max = (
positive_vals and max(max(positive_vals), self.zero)
) or self.zero
| (self, positive_vals, negative_vals) | [
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0.05489421635866165,
0.0440179780125618,
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0.009525258094072342,
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19,365 | pygal.graph.horizontalstackedline | HorizontalStackedLine | Horizontal Stacked Line graph | class HorizontalStackedLine(HorizontalGraph, StackedLine):
"""Horizontal Stacked Line graph"""
def _plot(self):
"""Draw the lines in reverse order"""
for serie in self.series[::-1]:
self.line(serie)
for serie in self.secondary_series[::-1]:
self.line(serie, True)
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19,381 | pygal.graph.stackedline | _fill | Add extra values to fill the line | def _fill(self, values):
"""Add extra values to fill the line"""
if not self._previous_line:
self._previous_line = values
return super(StackedLine, self)._fill(values)
new_values = values + list(reversed(self._previous_line))
self._previous_line = values
return new_values
| (self, values) | [
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19,392 | pygal.graph.stackedline | _points |
Convert given data values into drawable points (x, y)
and interpolated points if interpolate option is specified
| def _points(self, x_pos):
"""
Convert given data values into drawable points (x, y)
and interpolated points if interpolate option is specified
"""
for series_group in (self.series, self.secondary_series):
accumulation = [0] * self._len
for serie in series_group[::-1 if self.stack_from_top else 1]:
accumulation = list(map(sum, zip(accumulation, serie.values)))
serie.points = [(x_pos[i], v)
for i, v in enumerate(accumulation)]
if serie.points and self.interpolate:
serie.interpolated = self._interpolate(x_pos, accumulation)
else:
serie.interpolated = []
| (self, x_pos) | [
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19,401 | pygal.graph.stackedline | _value_format |
Display value and cumulation
| def _value_format(self, value, serie, index):
"""
Display value and cumulation
"""
sum_ = serie.points[index][1]
if serie in self.series and (
self.stack_from_top
and self.series.index(serie) == self._order - 1
or not self.stack_from_top and self.series.index(serie) == 0):
return super(StackedLine, self)._value_format(value)
return '%s (+%s)' % (self._y_format(sum_), self._y_format(value))
| (self, value, serie, index) | [
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] |
19,424 | pygal.graph.line | Line | Line graph class | class Line(Graph):
"""Line graph class"""
def __init__(self, *args, **kwargs):
"""Set _self_close as False, it's True for Radar like Line"""
self._self_close = False
super(Line, self).__init__(*args, **kwargs)
@cached_property
def _values(self):
"""Getter for series values (flattened)"""
return [
val[1] for serie in self.series for val in
(serie.interpolated if self.interpolate else serie.points)
if val[1] is not None and (not self.logarithmic or val[1] > 0)
]
@cached_property
def _secondary_values(self):
"""Getter for secondary series values (flattened)"""
return [
val[1] for serie in self.secondary_series for val in
(serie.interpolated if self.interpolate else serie.points)
if val[1] is not None and (not self.logarithmic or val[1] > 0)
]
def _fill(self, values):
"""Add extra values to fill the line"""
zero = self.view.y(min(max(self.zero, self._box.ymin), self._box.ymax))
# Check to see if the data has been padded with "none's"
# Fill doesn't work correctly otherwise
end = len(values) - 1
while end > 0:
x, y = values[end]
if self.missing_value_fill_truncation == "either":
if x is not None and y is not None:
break
elif self.missing_value_fill_truncation == "x":
if x is not None:
break
elif self.missing_value_fill_truncation == "y":
if y is not None:
break
else:
raise ValueError(
"Invalid value ({}) for config key "
"'missing_value_fill_truncation';"
" Use 'x', 'y' or 'either'".format(
self.missing_value_fill_truncation
)
)
end -= 1
return ([(values[0][0], zero)] + values + [(values[end][0], zero)])
def line(self, serie, rescale=False):
"""Draw the line serie"""
serie_node = self.svg.serie(serie)
if rescale and self.secondary_series:
points = self._rescale(serie.points)
else:
points = serie.points
view_values = list(map(self.view, points))
if serie.show_dots:
for i, (x, y) in enumerate(view_values):
if None in (x, y):
continue
if self.logarithmic:
if points[i][1] is None or points[i][1] <= 0:
continue
if (serie.show_only_major_dots and self.x_labels
and i < len(self.x_labels)
and self.x_labels[i] not in self._x_labels_major):
continue
metadata = serie.metadata.get(i)
classes = []
if x > self.view.width / 2:
classes.append('left')
if y > self.view.height / 2:
classes.append('top')
classes = ' '.join(classes)
self._confidence_interval(
serie_node['overlay'], x, y, serie.values[i], metadata
)
dots = decorate(
self.svg,
self.svg.node(serie_node['overlay'], class_="dots"),
metadata
)
val = self._format(serie, i)
alter(
self.svg.transposable_node(
dots,
'circle',
cx=x,
cy=y,
r=serie.dots_size,
class_='dot reactive tooltip-trigger'
), metadata
)
self._tooltip_data(
dots, val, x, y, xlabel=self._get_x_label(i)
)
self._static_value(
serie_node, val, x + self.style.value_font_size,
y + self.style.value_font_size, metadata
)
if serie.stroke:
if self.interpolate:
points = serie.interpolated
if rescale and self.secondary_series:
points = self._rescale(points)
view_values = list(map(self.view, points))
if serie.fill:
view_values = self._fill(view_values)
if serie.allow_interruptions:
# view_values are in form [(x1, y1), (x2, y2)]. We
# need to split that into multiple sequences if a
# None is present here
sequences = []
cur_sequence = []
for x, y in view_values:
if y is None and len(cur_sequence) > 0:
# emit current subsequence
sequences.append(cur_sequence)
cur_sequence = []
elif y is None: # just discard
continue
else:
cur_sequence.append((x, y)) # append the element
if len(cur_sequence) > 0: # emit last possible sequence
sequences.append(cur_sequence)
else:
# plain vanilla rendering
sequences = [view_values]
if self.logarithmic:
for seq in sequences:
for ele in seq[::-1]:
y = points[seq.index(ele)][1]
if y is None or y <= 0:
del seq[seq.index(ele)]
for seq in sequences:
self.svg.line(
serie_node['plot'],
seq,
close=self._self_close,
class_='line reactive' +
(' nofill' if not serie.fill else '')
)
def _compute(self):
"""Compute y min and max and y scale and set labels"""
# X Labels
if self.horizontal:
self._x_pos = [
x / (self._len - 1) for x in range(self._len)
][::-1] if self._len != 1 else [.5] # Center if only one value
else:
self._x_pos = [
x / (self._len - 1) for x in range(self._len)
] if self._len != 1 else [.5] # Center if only one value
self._points(self._x_pos)
if self.include_x_axis:
# Y Label
self._box.ymin = min(self._min or 0, 0)
self._box.ymax = max(self._max or 0, 0)
else:
self._box.ymin = self._min
self._box.ymax = self._max
def _plot(self):
"""Plot the serie lines and secondary serie lines"""
for serie in self.series:
self.line(serie)
for serie in self.secondary_series:
self.line(serie, True)
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19,483 | pygal.graph.pie | Pie | Pie graph class | class Pie(Graph):
"""Pie graph class"""
_adapters = [positive, none_to_zero]
def slice(self, serie, start_angle, total):
"""Make a serie slice"""
serie_node = self.svg.serie(serie)
dual = self._len > 1 and not self._order == 1
slices = self.svg.node(serie_node['plot'], class_="slices")
serie_angle = 0
original_start_angle = start_angle
if self.half_pie:
center = ((self.width - self.margin_box.x) / 2.,
(self.height - self.margin_box.y) / 1.25)
else:
center = ((self.width - self.margin_box.x) / 2.,
(self.height - self.margin_box.y) / 2.)
radius = min(center)
for i, val in enumerate(serie.values):
perc = val / total
if self.half_pie:
angle = 2 * pi * perc / 2
else:
angle = 2 * pi * perc
serie_angle += angle
val = self._format(serie, i)
metadata = serie.metadata.get(i)
slice_ = decorate(
self.svg, self.svg.node(slices, class_="slice"), metadata
)
if dual:
small_radius = radius * .9
big_radius = radius
else:
big_radius = radius * .9
small_radius = radius * serie.inner_radius
alter(
self.svg.slice(
serie_node, slice_, big_radius, small_radius, angle,
start_angle, center, val, i, metadata
), metadata
)
start_angle += angle
if dual:
val = self._serie_format(serie, sum(serie.values))
self.svg.slice(
serie_node, self.svg.node(slices,
class_="big_slice"), radius * .9, 0,
serie_angle, original_start_angle, center, val, i, metadata
)
return serie_angle
def _compute_x_labels(self):
pass
def _compute_y_labels(self):
pass
def _plot(self):
"""Draw all the serie slices"""
total = sum(map(sum, map(lambda x: x.values, self.series)))
if total == 0:
return
if self.half_pie:
current_angle = 3 * pi / 2
else:
current_angle = 0
for index, serie in enumerate(self.series):
angle = self.slice(serie, current_angle, total)
current_angle += angle
| (config=None, **kwargs) | [
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19,508 | pygal.graph.pie | _plot | Draw all the serie slices | def _plot(self):
"""Draw all the serie slices"""
total = sum(map(sum, map(lambda x: x.values, self.series)))
if total == 0:
return
if self.half_pie:
current_angle = 3 * pi / 2
else:
current_angle = 0
for index, serie in enumerate(self.series):
angle = self.slice(serie, current_angle, total)
current_angle += angle
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] |
19,539 | pygal.graph.pie | slice | Make a serie slice | def slice(self, serie, start_angle, total):
"""Make a serie slice"""
serie_node = self.svg.serie(serie)
dual = self._len > 1 and not self._order == 1
slices = self.svg.node(serie_node['plot'], class_="slices")
serie_angle = 0
original_start_angle = start_angle
if self.half_pie:
center = ((self.width - self.margin_box.x) / 2.,
(self.height - self.margin_box.y) / 1.25)
else:
center = ((self.width - self.margin_box.x) / 2.,
(self.height - self.margin_box.y) / 2.)
radius = min(center)
for i, val in enumerate(serie.values):
perc = val / total
if self.half_pie:
angle = 2 * pi * perc / 2
else:
angle = 2 * pi * perc
serie_angle += angle
val = self._format(serie, i)
metadata = serie.metadata.get(i)
slice_ = decorate(
self.svg, self.svg.node(slices, class_="slice"), metadata
)
if dual:
small_radius = radius * .9
big_radius = radius
else:
big_radius = radius * .9
small_radius = radius * serie.inner_radius
alter(
self.svg.slice(
serie_node, slice_, big_radius, small_radius, angle,
start_angle, center, val, i, metadata
), metadata
)
start_angle += angle
if dual:
val = self._serie_format(serie, sum(serie.values))
self.svg.slice(
serie_node, self.svg.node(slices,
class_="big_slice"), radius * .9, 0,
serie_angle, original_start_angle, center, val, i, metadata
)
return serie_angle
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19,541 | pygal | PluginImportFixer |
Allow external map plugins to be imported from pygal.maps package.
It is a ``sys.meta_path`` loader.
| class PluginImportFixer(object):
"""
Allow external map plugins to be imported from pygal.maps package.
It is a ``sys.meta_path`` loader.
"""
def find_module(self, fullname, path=None):
"""
Tell if the module to load can be loaded by
the load_module function, ie: if it is a ``pygal.maps.*``
module.
"""
if fullname.startswith('pygal.maps.') and hasattr(
maps, fullname.split('.')[2]):
return self
return None
def load_module(self, name):
"""
Load the ``pygal.maps.name`` module from the previously
loaded plugin
"""
if name not in sys.modules:
sys.modules[name] = getattr(maps, name.split('.')[2])
return sys.modules[name]
| () | [
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19,542 | pygal | find_module |
Tell if the module to load can be loaded by
the load_module function, ie: if it is a ``pygal.maps.*``
module.
| def find_module(self, fullname, path=None):
"""
Tell if the module to load can be loaded by
the load_module function, ie: if it is a ``pygal.maps.*``
module.
"""
if fullname.startswith('pygal.maps.') and hasattr(
maps, fullname.split('.')[2]):
return self
return None
| (self, fullname, path=None) | [
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] |
19,543 | pygal | load_module |
Load the ``pygal.maps.name`` module from the previously
loaded plugin
| def load_module(self, name):
"""
Load the ``pygal.maps.name`` module from the previously
loaded plugin
"""
if name not in sys.modules:
sys.modules[name] = getattr(maps, name.split('.')[2])
return sys.modules[name]
| (self, name) | [
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19,544 | pygal.graph.pyramid | Pyramid | Horizontal Pyramid graph class like the one used by age pyramid | class Pyramid(HorizontalGraph, VerticalPyramid):
"""Horizontal Pyramid graph class like the one used by age pyramid"""
| (*args, **kwargs) | [
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19,550 | pygal.graph.pyramid | _bar | Internal stacking bar drawing function | def _bar(self, serie, parent, x, y, i, zero, secondary=False):
"""Internal stacking bar drawing function"""
if serie.index % 2:
y = -y
return super(VerticalPyramid,
self)._bar(serie, parent, x, y, i, zero, secondary)
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19,552 | pygal.graph.pyramid | _compute_box | Compute Y min and max | def _compute_box(self, positive_vals, negative_vals):
"""Compute Y min and max"""
max_ = max(
max(positive_vals or [self.zero]),
max(negative_vals or [self.zero])
)
if self.range and self.range[0] is not None:
self._box.ymin = self.range[0]
else:
self._box.ymin = -max_
if self.range and self.range[1] is not None:
self._box.ymax = self.range[1]
else:
self._box.ymax = max_
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19,563 | pygal.graph.pyramid | _get_separated_values | Separate values between odd and even series stacked | def _get_separated_values(self, secondary=False):
"""Separate values between odd and even series stacked"""
series = self.secondary_series if secondary else self.series
positive_vals = map(
sum,
zip(
*[
serie.safe_values for index, serie in enumerate(series)
if index % 2
]
)
)
negative_vals = map(
sum,
zip(
*[
serie.safe_values for index, serie in enumerate(series)
if not index % 2
]
)
)
return list(positive_vals), list(negative_vals)
| (self, secondary=False) | [
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] |
19,575 | pygal.graph.pyramid | _pre_compute_secondary | Compute secondary y min and max | def _pre_compute_secondary(self, positive_vals, negative_vals):
"""Compute secondary y min and max"""
self._secondary_max = max(max(positive_vals), max(negative_vals))
self._secondary_min = -self._secondary_max
| (self, positive_vals, negative_vals) | [
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0.04504398629069328,
0.045078083872795105,
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0.03713315725326538,
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19,584 | pygal.graph.pyramid | _value_format | Format value for dual value display. | def _value_format(self, value):
"""Format value for dual value display."""
return super(VerticalPyramid, self)._value_format(value and abs(value))
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19,607 | pygal.graph.radar | Radar | Rada graph class | class Radar(Line):
"""Rada graph class"""
_adapters = [positive, none_to_zero]
def __init__(self, *args, **kwargs):
"""Init custom vars"""
self._rmax = None
super(Radar, self).__init__(*args, **kwargs)
def _fill(self, values):
"""Add extra values to fill the line"""
return values
@cached_property
def _values(self):
"""Getter for series values (flattened)"""
if self.interpolate:
return [
val[0] for serie in self.series for val in serie.interpolated
]
else:
return super(Line, self)._values
def _set_view(self):
"""Assign a view to current graph"""
if self.logarithmic:
view_class = PolarLogView
else:
view_class = PolarView
self.view = view_class(
self.width - self.margin_box.x, self.height - self.margin_box.y,
self._box
)
def _x_axis(self, draw_axes=True):
"""Override x axis to make it polar"""
if not self._x_labels or not self.show_x_labels:
return
axis = self.svg.node(
self.nodes['plot'],
class_="axis x web%s" %
(' always_show' if self.show_x_guides else '')
)
format_ = lambda x: '%f %f' % x
center = self.view((0, 0))
r = self._rmax
# Can't simply determine truncation
truncation = self.truncate_label or 25
for label, theta in self._x_labels:
major = label in self._x_labels_major
if not (self.show_minor_x_labels or major):
continue
guides = self.svg.node(axis, class_='guides')
end = self.view((r, theta))
self.svg.node(
guides,
'path',
d='M%s L%s' % (format_(center), format_(end)),
class_='%s%sline' %
('axis ' if label == "0" else '', 'major ' if major else '')
)
r_txt = (1 - self._box.__class__.margin) * self._box.ymax
pos_text = self.view((r_txt, theta))
text = self.svg.node(
guides,
'text',
x=pos_text[0],
y=pos_text[1],
class_='major' if major else ''
)
text.text = truncate(label, truncation)
if text.text != label:
self.svg.node(guides, 'title').text = label
else:
self.svg.node(
guides,
'title',
).text = self._x_format(theta)
angle = -theta + pi / 2
if cos(angle) < 0:
angle -= pi
text.attrib['transform'] = 'rotate(%f %s)' % (
self.x_label_rotation or deg(angle), format_(pos_text)
)
def _y_axis(self, draw_axes=True):
"""Override y axis to make it polar"""
if not self._y_labels or not self.show_y_labels:
return
axis = self.svg.node(self.nodes['plot'], class_="axis y web")
for label, r in reversed(self._y_labels):
major = r in self._y_labels_major
if not (self.show_minor_y_labels or major):
continue
guides = self.svg.node(
axis,
class_='%sguides' %
('logarithmic ' if self.logarithmic else '')
)
if self.show_y_guides:
self.svg.line(
guides, [self.view((r, theta)) for theta in self._x_pos],
close=True,
class_='%sguide line' % ('major ' if major else '')
)
x, y = self.view((r, self._x_pos[0]))
x -= 5
text = self.svg.node(
guides, 'text', x=x, y=y, class_='major' if major else ''
)
text.text = label
if self.y_label_rotation:
text.attrib[
'transform'
] = "rotate(%d %f %f)" % (self.y_label_rotation, x, y)
self.svg.node(
guides,
'title',
).text = self._y_format(r)
def _compute(self):
"""Compute r min max and labels position"""
delta = 2 * pi / self._len if self._len else 0
self._x_pos = [.5 * pi + i * delta for i in range(self._len + 1)]
for serie in self.all_series:
serie.points = [(v, self._x_pos[i])
for i, v in enumerate(serie.values)]
if self.interpolate:
extended_x_pos = ([.5 * pi - delta] + self._x_pos)
extended_vals = (serie.values[-1:] + serie.values)
serie.interpolated = list(
map(
tuple,
map(
reversed,
self._interpolate(extended_x_pos, extended_vals)
)
)
)
# x labels space
self._box.margin *= 2
self._rmin = self.zero
self._rmax = self._max or 1
self._box.set_polar_box(self._rmin, self._rmax)
self._self_close = True
def _compute_y_labels(self):
y_pos = compute_scale(
self._rmin, self._rmax, self.logarithmic, self.order_min,
self.min_scale, self.max_scale / 2
)
if self.y_labels:
self._y_labels = []
for i, y_label in enumerate(self.y_labels):
if isinstance(y_label, dict):
pos = self._adapt(y_label.get('value'))
title = y_label.get('label', self._y_format(pos))
elif is_str(y_label):
pos = self._adapt(y_pos[i])
title = y_label
else:
pos = self._adapt(y_label)
title = self._y_format(pos)
self._y_labels.append((title, pos))
self._rmin = min(self._rmin, min(cut(self._y_labels, 1)))
self._rmax = max(self._rmax, max(cut(self._y_labels, 1)))
self._box.set_polar_box(self._rmin, self._rmax)
else:
self._y_labels = list(zip(map(self._y_format, y_pos), y_pos))
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19,610 | pygal.graph.radar | __init__ | Init custom vars | def __init__(self, *args, **kwargs):
"""Init custom vars"""
self._rmax = None
super(Radar, self).__init__(*args, **kwargs)
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] |
19,613 | pygal.graph.radar | _compute | Compute r min max and labels position | def _compute(self):
"""Compute r min max and labels position"""
delta = 2 * pi / self._len if self._len else 0
self._x_pos = [.5 * pi + i * delta for i in range(self._len + 1)]
for serie in self.all_series:
serie.points = [(v, self._x_pos[i])
for i, v in enumerate(serie.values)]
if self.interpolate:
extended_x_pos = ([.5 * pi - delta] + self._x_pos)
extended_vals = (serie.values[-1:] + serie.values)
serie.interpolated = list(
map(
tuple,
map(
reversed,
self._interpolate(extended_x_pos, extended_vals)
)
)
)
# x labels space
self._box.margin *= 2
self._rmin = self.zero
self._rmax = self._max or 1
self._box.set_polar_box(self._rmin, self._rmax)
self._self_close = True
| (self) | [
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19,618 | pygal.graph.radar | _compute_y_labels | null | def _compute_y_labels(self):
y_pos = compute_scale(
self._rmin, self._rmax, self.logarithmic, self.order_min,
self.min_scale, self.max_scale / 2
)
if self.y_labels:
self._y_labels = []
for i, y_label in enumerate(self.y_labels):
if isinstance(y_label, dict):
pos = self._adapt(y_label.get('value'))
title = y_label.get('label', self._y_format(pos))
elif is_str(y_label):
pos = self._adapt(y_pos[i])
title = y_label
else:
pos = self._adapt(y_label)
title = self._y_format(pos)
self._y_labels.append((title, pos))
self._rmin = min(self._rmin, min(cut(self._y_labels, 1)))
self._rmax = max(self._rmax, max(cut(self._y_labels, 1)))
self._box.set_polar_box(self._rmin, self._rmax)
else:
self._y_labels = list(zip(map(self._y_format, y_pos), y_pos))
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19,623 | pygal.graph.radar | _fill | Add extra values to fill the line | def _fill(self, values):
"""Add extra values to fill the line"""
return values
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19,640 | pygal.graph.radar | _set_view | Assign a view to current graph | def _set_view(self):
"""Assign a view to current graph"""
if self.logarithmic:
view_class = PolarLogView
else:
view_class = PolarView
self.view = view_class(
self.width - self.margin_box.x, self.height - self.margin_box.y,
self._box
)
| (self) | [
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19,644 | pygal.graph.radar | _x_axis | Override x axis to make it polar | def _x_axis(self, draw_axes=True):
"""Override x axis to make it polar"""
if not self._x_labels or not self.show_x_labels:
return
axis = self.svg.node(
self.nodes['plot'],
class_="axis x web%s" %
(' always_show' if self.show_x_guides else '')
)
format_ = lambda x: '%f %f' % x
center = self.view((0, 0))
r = self._rmax
# Can't simply determine truncation
truncation = self.truncate_label or 25
for label, theta in self._x_labels:
major = label in self._x_labels_major
if not (self.show_minor_x_labels or major):
continue
guides = self.svg.node(axis, class_='guides')
end = self.view((r, theta))
self.svg.node(
guides,
'path',
d='M%s L%s' % (format_(center), format_(end)),
class_='%s%sline' %
('axis ' if label == "0" else '', 'major ' if major else '')
)
r_txt = (1 - self._box.__class__.margin) * self._box.ymax
pos_text = self.view((r_txt, theta))
text = self.svg.node(
guides,
'text',
x=pos_text[0],
y=pos_text[1],
class_='major' if major else ''
)
text.text = truncate(label, truncation)
if text.text != label:
self.svg.node(guides, 'title').text = label
else:
self.svg.node(
guides,
'title',
).text = self._x_format(theta)
angle = -theta + pi / 2
if cos(angle) < 0:
angle -= pi
text.attrib['transform'] = 'rotate(%f %s)' % (
self.x_label_rotation or deg(angle), format_(pos_text)
)
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19,646 | pygal.graph.radar | _y_axis | Override y axis to make it polar | def _y_axis(self, draw_axes=True):
"""Override y axis to make it polar"""
if not self._y_labels or not self.show_y_labels:
return
axis = self.svg.node(self.nodes['plot'], class_="axis y web")
for label, r in reversed(self._y_labels):
major = r in self._y_labels_major
if not (self.show_minor_y_labels or major):
continue
guides = self.svg.node(
axis,
class_='%sguides' %
('logarithmic ' if self.logarithmic else '')
)
if self.show_y_guides:
self.svg.line(
guides, [self.view((r, theta)) for theta in self._x_pos],
close=True,
class_='%sguide line' % ('major ' if major else '')
)
x, y = self.view((r, self._x_pos[0]))
x -= 5
text = self.svg.node(
guides, 'text', x=x, y=y, class_='major' if major else ''
)
text.text = label
if self.y_label_rotation:
text.attrib[
'transform'
] = "rotate(%d %f %f)" % (self.y_label_rotation, x, y)
self.svg.node(
guides,
'title',
).text = self._y_format(r)
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19,666 | pygal.graph.solidgauge | SolidGauge | null | class SolidGauge(Graph):
def gaugify(self, serie, squares, sq_dimensions, current_square):
serie_node = self.svg.serie(serie)
if self.half_pie:
start_angle = 3 * pi / 2
center = ((current_square[1] * sq_dimensions[0]) -
(sq_dimensions[0] / 2.),
(current_square[0] * sq_dimensions[1]) -
(sq_dimensions[1] / 4))
end_angle = pi / 2
else:
start_angle = 0
center = ((current_square[1] * sq_dimensions[0]) -
(sq_dimensions[0] / 2.),
(current_square[0] * sq_dimensions[1]) -
(sq_dimensions[1] / 2.))
end_angle = 2 * pi
max_value = serie.metadata.get(0, {}).get('max_value', 100)
radius = min([sq_dimensions[0] / 2, sq_dimensions[1] / 2]) * .9
small_radius = radius * serie.inner_radius
self.svg.gauge_background(
serie_node, start_angle, center, radius, small_radius, end_angle,
self.half_pie, self._serie_format(serie, max_value)
)
sum_ = 0
for i, value in enumerate(serie.values):
if value is None:
continue
ratio = min(value, max_value) / max_value
if self.half_pie:
angle = 2 * pi * ratio / 2
else:
angle = 2 * pi * ratio
val = self._format(serie, i)
metadata = serie.metadata.get(i)
gauge_ = decorate(
self.svg, self.svg.node(serie_node['plot'], class_="gauge"),
metadata
)
alter(
self.svg.solid_gauge(
serie_node, gauge_, radius, small_radius, angle,
start_angle, center, val, i, metadata, self.half_pie,
end_angle, self._serie_format(serie, max_value)
), metadata
)
start_angle += angle
sum_ += value
x, y = center
self.svg.node(
serie_node['text_overlay'],
'text',
class_='value gauge-sum',
x=x,
y=y + self.style.value_font_size / 3,
attrib={
'text-anchor': 'middle'
}
).text = self._serie_format(serie, sum_)
def _compute_x_labels(self):
pass
def _compute_y_labels(self):
pass
def _plot(self):
"""Draw all the serie slices"""
squares = self._squares()
sq_dimensions = self.add_squares(squares)
for index, serie in enumerate(self.series):
current_square = self._current_square(squares, index)
self.gaugify(serie, squares, sq_dimensions, current_square)
def _squares(self):
n_series_ = len(self.series)
i = 2
if sqrt(n_series_).is_integer():
_x = int(sqrt(n_series_))
_y = int(sqrt(n_series_))
else:
while i * i < n_series_:
while n_series_ % i == 0:
n_series_ = n_series_ / i
i = i + 1
_y = int(n_series_)
_x = int(len(self.series) / _y)
if len(self.series) == 5:
_x, _y = 2, 3
if abs(_x - _y) > 2:
_sq = 3
while (_x * _y) - 1 < len(self.series):
_x, _y = _sq, _sq
_sq += 1
return (_x, _y)
def _current_square(self, squares, index):
current_square = [1, 1]
steps = index + 1
steps_taken = 0
for i in range(squares[0] * squares[1]):
steps_taken += 1
if steps_taken != steps and steps_taken % squares[0] != 0:
current_square[1] += 1
elif steps_taken != steps and steps_taken % squares[0] == 0:
current_square[1] = 1
current_square[0] += 1
else:
return tuple(current_square)
raise Exception(
'Something went wrong with the current square assignment.'
)
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19,680 | pygal.graph.solidgauge | _current_square | null | def _current_square(self, squares, index):
current_square = [1, 1]
steps = index + 1
steps_taken = 0
for i in range(squares[0] * squares[1]):
steps_taken += 1
if steps_taken != steps and steps_taken % squares[0] != 0:
current_square[1] += 1
elif steps_taken != steps and steps_taken % squares[0] == 0:
current_square[1] = 1
current_square[0] += 1
else:
return tuple(current_square)
raise Exception(
'Something went wrong with the current square assignment.'
)
| (self, squares, index) | [
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19,692 | pygal.graph.solidgauge | _plot | Draw all the serie slices | def _plot(self):
"""Draw all the serie slices"""
squares = self._squares()
sq_dimensions = self.add_squares(squares)
for index, serie in enumerate(self.series):
current_square = self._current_square(squares, index)
self.gaugify(serie, squares, sq_dimensions, current_square)
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19,700 | pygal.graph.solidgauge | _squares | null | def _squares(self):
n_series_ = len(self.series)
i = 2
if sqrt(n_series_).is_integer():
_x = int(sqrt(n_series_))
_y = int(sqrt(n_series_))
else:
while i * i < n_series_:
while n_series_ % i == 0:
n_series_ = n_series_ / i
i = i + 1
_y = int(n_series_)
_x = int(len(self.series) / _y)
if len(self.series) == 5:
_x, _y = 2, 3
if abs(_x - _y) > 2:
_sq = 3
while (_x * _y) - 1 < len(self.series):
_x, _y = _sq, _sq
_sq += 1
return (_x, _y)
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19,710 | pygal.graph.solidgauge | gaugify | null | def gaugify(self, serie, squares, sq_dimensions, current_square):
serie_node = self.svg.serie(serie)
if self.half_pie:
start_angle = 3 * pi / 2
center = ((current_square[1] * sq_dimensions[0]) -
(sq_dimensions[0] / 2.),
(current_square[0] * sq_dimensions[1]) -
(sq_dimensions[1] / 4))
end_angle = pi / 2
else:
start_angle = 0
center = ((current_square[1] * sq_dimensions[0]) -
(sq_dimensions[0] / 2.),
(current_square[0] * sq_dimensions[1]) -
(sq_dimensions[1] / 2.))
end_angle = 2 * pi
max_value = serie.metadata.get(0, {}).get('max_value', 100)
radius = min([sq_dimensions[0] / 2, sq_dimensions[1] / 2]) * .9
small_radius = radius * serie.inner_radius
self.svg.gauge_background(
serie_node, start_angle, center, radius, small_radius, end_angle,
self.half_pie, self._serie_format(serie, max_value)
)
sum_ = 0
for i, value in enumerate(serie.values):
if value is None:
continue
ratio = min(value, max_value) / max_value
if self.half_pie:
angle = 2 * pi * ratio / 2
else:
angle = 2 * pi * ratio
val = self._format(serie, i)
metadata = serie.metadata.get(i)
gauge_ = decorate(
self.svg, self.svg.node(serie_node['plot'], class_="gauge"),
metadata
)
alter(
self.svg.solid_gauge(
serie_node, gauge_, radius, small_radius, angle,
start_angle, center, val, i, metadata, self.half_pie,
end_angle, self._serie_format(serie, max_value)
), metadata
)
start_angle += angle
sum_ += value
x, y = center
self.svg.node(
serie_node['text_overlay'],
'text',
class_='value gauge-sum',
x=x,
y=y + self.style.value_font_size / 3,
attrib={
'text-anchor': 'middle'
}
).text = self._serie_format(serie, sum_)
| (self, serie, squares, sq_dimensions, current_square) | [
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19,726 | pygal.graph.stackedbar | StackedBar | Stacked Bar graph class | class StackedBar(Bar):
"""Stacked Bar graph class"""
_adapters = [none_to_zero]
def _get_separated_values(self, secondary=False):
"""Separate values between positives and negatives stacked"""
series = self.secondary_series if secondary else self.series
transposed = list(zip(*[serie.values for serie in series]))
positive_vals = [
sum([val for val in vals if val is not None and val >= self.zero])
for vals in transposed
]
negative_vals = [
sum([val for val in vals if val is not None and val < self.zero])
for vals in transposed
]
return positive_vals, negative_vals
def _compute_box(self, positive_vals, negative_vals):
"""Compute Y min and max"""
if self.range and self.range[0] is not None:
self._box.ymin = self.range[0]
else:
self._box.ymin = negative_vals and min(
min(negative_vals), self.zero
) or self.zero
if self.range and self.range[1] is not None:
self._box.ymax = self.range[1]
else:
self._box.ymax = positive_vals and max(
max(positive_vals), self.zero
) or self.zero
def _compute(self):
"""Compute y min and max and y scale and set labels"""
positive_vals, negative_vals = self._get_separated_values()
if self.logarithmic:
positive_vals = list(
filter(lambda x: x > self.zero, positive_vals)
)
negative_vals = list(
filter(lambda x: x > self.zero, negative_vals)
)
self._compute_box(positive_vals, negative_vals)
positive_vals = positive_vals or [self.zero]
negative_vals = negative_vals or [self.zero]
self._x_pos = [
x / self._len for x in range(self._len + 1)
] if self._len > 1 else [0, 1] # Center if only one value
self._points(self._x_pos)
self.negative_cumulation = [0] * self._len
self.positive_cumulation = [0] * self._len
if self.secondary_series:
positive_vals, negative_vals = self._get_separated_values(True)
positive_vals = positive_vals or [self.zero]
negative_vals = negative_vals or [self.zero]
self.secondary_negative_cumulation = [0] * self._len
self.secondary_positive_cumulation = [0] * self._len
self._pre_compute_secondary(positive_vals, negative_vals)
self._x_pos = [(i + .5) / self._len for i in range(self._len)]
def _pre_compute_secondary(self, positive_vals, negative_vals):
"""Compute secondary y min and max"""
self._secondary_min = (
negative_vals and min(min(negative_vals), self.zero)
) or self.zero
self._secondary_max = (
positive_vals and max(max(positive_vals), self.zero)
) or self.zero
def _bar(self, serie, parent, x, y, i, zero, secondary=False):
"""Internal stacking bar drawing function"""
if secondary:
cumulation = (
self.secondary_negative_cumulation
if y < self.zero else self.secondary_positive_cumulation
)
else:
cumulation = (
self.negative_cumulation
if y < self.zero else self.positive_cumulation
)
zero = cumulation[i]
cumulation[i] = zero + y
if zero == 0:
zero = self.zero
y -= self.zero
y += zero
width = (self.view.x(1) - self.view.x(0)) / self._len
x, y = self.view((x, y))
y = y or 0
series_margin = width * self._series_margin
x += series_margin
width -= 2 * series_margin
if self.secondary_series:
width /= 2
x += int(secondary) * width
serie_margin = width * self._serie_margin
x += serie_margin
width -= 2 * serie_margin
height = self.view.y(zero) - y
r = serie.rounded_bars * 1 if serie.rounded_bars else 0
self.svg.transposable_node(
parent,
'rect',
x=x,
y=y,
rx=r,
ry=r,
width=width,
height=height,
class_='rect reactive tooltip-trigger'
)
return x, y, width, height
def _plot(self):
"""Draw bars for series and secondary series"""
for serie in self.series[::-1 if self.stack_from_top else 1]:
self.bar(serie)
for serie in self.secondary_series[::-1 if self.stack_from_top else 1]:
self.bar(serie, True)
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19,789 | pygal.graph.stackedline | StackedLine | Stacked Line graph class | class StackedLine(Line):
"""Stacked Line graph class"""
_adapters = [none_to_zero]
def __init__(self, *args, **kwargs):
"""Custom variable initialization"""
self._previous_line = None
super(StackedLine, self).__init__(*args, **kwargs)
def _value_format(self, value, serie, index):
"""
Display value and cumulation
"""
sum_ = serie.points[index][1]
if serie in self.series and (
self.stack_from_top
and self.series.index(serie) == self._order - 1
or not self.stack_from_top and self.series.index(serie) == 0):
return super(StackedLine, self)._value_format(value)
return '%s (+%s)' % (self._y_format(sum_), self._y_format(value))
def _fill(self, values):
"""Add extra values to fill the line"""
if not self._previous_line:
self._previous_line = values
return super(StackedLine, self)._fill(values)
new_values = values + list(reversed(self._previous_line))
self._previous_line = values
return new_values
def _points(self, x_pos):
"""
Convert given data values into drawable points (x, y)
and interpolated points if interpolate option is specified
"""
for series_group in (self.series, self.secondary_series):
accumulation = [0] * self._len
for serie in series_group[::-1 if self.stack_from_top else 1]:
accumulation = list(map(sum, zip(accumulation, serie.values)))
serie.points = [(x_pos[i], v)
for i, v in enumerate(accumulation)]
if serie.points and self.interpolate:
serie.interpolated = self._interpolate(x_pos, accumulation)
else:
serie.interpolated = []
def _plot(self):
"""Plot stacked serie lines and stacked secondary lines"""
for serie in self.series[::-1 if self.stack_from_top else 1]:
self.line(serie)
for serie in self.secondary_series[::-1 if self.stack_from_top else 1]:
self.line(serie, True)
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19,792 | pygal.graph.stackedline | __init__ | Custom variable initialization | def __init__(self, *args, **kwargs):
"""Custom variable initialization"""
self._previous_line = None
super(StackedLine, self).__init__(*args, **kwargs)
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19,815 | pygal.graph.stackedline | _plot | Plot stacked serie lines and stacked secondary lines | def _plot(self):
"""Plot stacked serie lines and stacked secondary lines"""
for serie in self.series[::-1 if self.stack_from_top else 1]:
self.line(serie)
for serie in self.secondary_series[::-1 if self.stack_from_top else 1]:
self.line(serie, True)
| (self) | [
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19,848 | pygal.graph.time | TimeDeltaLine | TimeDelta abscissa xy graph class | class TimeDeltaLine(XY):
"""TimeDelta abscissa xy graph class"""
_x_adapters = [timedelta_to_seconds]
@property
def _x_format(self):
"""Return the value formatter for this graph"""
def timedelta_to_str(x):
td = timedelta(seconds=x)
return self.x_value_formatter(td)
return timedelta_to_str
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19,907 | pygal.graph.time | TimeLine | Time abscissa xy graph class | class TimeLine(DateTimeLine):
"""Time abscissa xy graph class"""
_x_adapters = [positive, time_to_seconds, datetime_to_time]
@property
def _x_format(self):
"""Return the value formatter for this graph"""
def date_to_str(x):
t = seconds_to_time(x)
return self.x_value_formatter(t)
return date_to_str
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19,966 | pygal.graph.treemap | Treemap | Treemap graph class | class Treemap(Graph):
"""Treemap graph class"""
_adapters = [positive, none_to_zero]
def _rect(self, serie, serie_node, rects, val, x, y, w, h, i):
rx, ry = self.view((x, y))
rw, rh = self.view((x + w, y + h))
rw -= rx
rh -= ry
metadata = serie.metadata.get(i)
val = self._format(serie, i)
rect = decorate(
self.svg, self.svg.node(rects, class_="rect"), metadata
)
alter(
self.svg.node(
rect,
'rect',
x=rx,
y=ry,
width=rw,
height=rh,
class_='rect reactive tooltip-trigger'
), metadata
)
self._tooltip_data(
rect, val, rx + rw / 2, ry + rh / 2, 'centered',
self._get_x_label(i)
)
self._static_value(serie_node, val, rx + rw / 2, ry + rh / 2, metadata)
def _binary_tree(self, data, total, x, y, w, h, parent=None):
if total == 0:
return
if len(data) == 1:
if parent:
i, datum = data[0]
serie, serie_node, rects = parent
self._rect(serie, serie_node, rects, datum, x, y, w, h, i)
else:
datum = data[0]
serie_node = self.svg.serie(datum)
self._binary_tree(
list(enumerate(datum.values)), total, x, y, w, h, (
datum, serie_node,
self.svg.node(serie_node['plot'], class_="rects")
)
)
return
midpoint = total / 2
pivot_index = 1
running_sum = 0
for i, elt in enumerate(data):
if running_sum >= midpoint:
pivot_index = i
break
running_sum += elt[1] if parent else sum(elt.values)
half1 = data[:pivot_index]
half2 = data[pivot_index:]
if parent:
half1_sum = sum(cut(half1, 1))
half2_sum = sum(cut(half2, 1))
else:
half1_sum = sum(map(sum, map(lambda x: x.values, half1)))
half2_sum = sum(map(sum, map(lambda x: x.values, half2)))
pivot_pct = half1_sum / total
if h > w:
y_pivot = pivot_pct * h
self._binary_tree(half1, half1_sum, x, y, w, y_pivot, parent)
self._binary_tree(
half2, half2_sum, x, y + y_pivot, w, h - y_pivot, parent
)
else:
x_pivot = pivot_pct * w
self._binary_tree(half1, half1_sum, x, y, x_pivot, h, parent)
self._binary_tree(
half2, half2_sum, x + x_pivot, y, w - x_pivot, h, parent
)
def _compute_x_labels(self):
pass
def _compute_y_labels(self):
pass
def _plot(self):
total = sum(map(sum, map(lambda x: x.values, self.series)))
if total == 0:
return
gw = self.width - self.margin_box.x
gh = self.height - self.margin_box.y
self.view.box.xmin = self.view.box.ymin = x = y = 0
self.view.box.xmax = w = (total * gw / gh)**.5
self.view.box.ymax = h = total / w
self.view.box.fix()
self._binary_tree(self.series, total, x, y, w, h)
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19,972 | pygal.graph.treemap | _binary_tree | null | def _binary_tree(self, data, total, x, y, w, h, parent=None):
if total == 0:
return
if len(data) == 1:
if parent:
i, datum = data[0]
serie, serie_node, rects = parent
self._rect(serie, serie_node, rects, datum, x, y, w, h, i)
else:
datum = data[0]
serie_node = self.svg.serie(datum)
self._binary_tree(
list(enumerate(datum.values)), total, x, y, w, h, (
datum, serie_node,
self.svg.node(serie_node['plot'], class_="rects")
)
)
return
midpoint = total / 2
pivot_index = 1
running_sum = 0
for i, elt in enumerate(data):
if running_sum >= midpoint:
pivot_index = i
break
running_sum += elt[1] if parent else sum(elt.values)
half1 = data[:pivot_index]
half2 = data[pivot_index:]
if parent:
half1_sum = sum(cut(half1, 1))
half2_sum = sum(cut(half2, 1))
else:
half1_sum = sum(map(sum, map(lambda x: x.values, half1)))
half2_sum = sum(map(sum, map(lambda x: x.values, half2)))
pivot_pct = half1_sum / total
if h > w:
y_pivot = pivot_pct * h
self._binary_tree(half1, half1_sum, x, y, w, y_pivot, parent)
self._binary_tree(
half2, half2_sum, x, y + y_pivot, w, h - y_pivot, parent
)
else:
x_pivot = pivot_pct * w
self._binary_tree(half1, half1_sum, x, y, x_pivot, h, parent)
self._binary_tree(
half2, half2_sum, x + x_pivot, y, w - x_pivot, h, parent
)
| (self, data, total, x, y, w, h, parent=None) | [
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19,992 | pygal.graph.treemap | _plot | null | def _plot(self):
total = sum(map(sum, map(lambda x: x.values, self.series)))
if total == 0:
return
gw = self.width - self.margin_box.x
gh = self.height - self.margin_box.y
self.view.box.xmin = self.view.box.ymin = x = y = 0
self.view.box.xmax = w = (total * gw / gh)**.5
self.view.box.ymax = h = total / w
self.view.box.fix()
self._binary_tree(self.series, total, x, y, w, h)
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19,995 | pygal.graph.treemap | _rect | null | def _rect(self, serie, serie_node, rects, val, x, y, w, h, i):
rx, ry = self.view((x, y))
rw, rh = self.view((x + w, y + h))
rw -= rx
rh -= ry
metadata = serie.metadata.get(i)
val = self._format(serie, i)
rect = decorate(
self.svg, self.svg.node(rects, class_="rect"), metadata
)
alter(
self.svg.node(
rect,
'rect',
x=rx,
y=ry,
width=rw,
height=rh,
class_='rect reactive tooltip-trigger'
), metadata
)
self._tooltip_data(
rect, val, rx + rw / 2, ry + rh / 2, 'centered',
self._get_x_label(i)
)
self._static_value(serie_node, val, rx + rw / 2, ry + rh / 2, metadata)
| (self, serie, serie_node, rects, val, x, y, w, h, i) | [
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20,025 | pygal.graph.pyramid | VerticalPyramid | Vertical Pyramid graph class | class VerticalPyramid(StackedBar):
"""Vertical Pyramid graph class"""
_adapters = [positive]
def _value_format(self, value):
"""Format value for dual value display."""
return super(VerticalPyramid, self)._value_format(value and abs(value))
def _get_separated_values(self, secondary=False):
"""Separate values between odd and even series stacked"""
series = self.secondary_series if secondary else self.series
positive_vals = map(
sum,
zip(
*[
serie.safe_values for index, serie in enumerate(series)
if index % 2
]
)
)
negative_vals = map(
sum,
zip(
*[
serie.safe_values for index, serie in enumerate(series)
if not index % 2
]
)
)
return list(positive_vals), list(negative_vals)
def _compute_box(self, positive_vals, negative_vals):
"""Compute Y min and max"""
max_ = max(
max(positive_vals or [self.zero]),
max(negative_vals or [self.zero])
)
if self.range and self.range[0] is not None:
self._box.ymin = self.range[0]
else:
self._box.ymin = -max_
if self.range and self.range[1] is not None:
self._box.ymax = self.range[1]
else:
self._box.ymax = max_
def _pre_compute_secondary(self, positive_vals, negative_vals):
"""Compute secondary y min and max"""
self._secondary_max = max(max(positive_vals), max(negative_vals))
self._secondary_min = -self._secondary_max
def _bar(self, serie, parent, x, y, i, zero, secondary=False):
"""Internal stacking bar drawing function"""
if serie.index % 2:
y = -y
return super(VerticalPyramid,
self)._bar(serie, parent, x, y, i, zero, secondary)
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20,088 | pygal.graph.xy | XY | XY Line graph class | class XY(Line, Dual):
"""XY Line graph class"""
_x_adapters = []
@cached_property
def xvals(self):
"""All x values"""
return [
val[0] for serie in self.all_series for val in serie.values
if val[0] is not None
]
@cached_property
def yvals(self):
"""All y values"""
return [
val[1] for serie in self.series for val in serie.values
if val[1] is not None
]
@cached_property
def _min(self):
"""Getter for the minimum series value"""
return (
self.range[0] if (self.range and self.range[0] is not None) else
(min(self.yvals) if self.yvals else None)
)
@cached_property
def _max(self):
"""Getter for the maximum series value"""
return (
self.range[1] if (self.range and self.range[1] is not None) else
(max(self.yvals) if self.yvals else None)
)
def _compute(self):
"""Compute x/y min and max and x/y scale and set labels"""
if self.xvals:
if self.xrange:
x_adapter = reduce(compose, self._x_adapters) if getattr(
self, '_x_adapters', None
) else ident
xmin = x_adapter(self.xrange[0])
xmax = x_adapter(self.xrange[1])
else:
xmin = min(self.xvals)
xmax = max(self.xvals)
xrng = (xmax - xmin)
else:
xrng = None
if self.yvals:
ymin = self._min
ymax = self._max
if self.include_x_axis:
ymin = min(ymin or 0, 0)
ymax = max(ymax or 0, 0)
yrng = (ymax - ymin)
else:
yrng = None
for serie in self.all_series:
serie.points = serie.values
if self.interpolate:
vals = list(
zip(
*sorted(
filter(lambda t: None not in t, serie.points),
key=lambda x: x[0]
)
)
)
serie.interpolated = self._interpolate(vals[0], vals[1])
if self.interpolate:
self.xvals = [
val[0] for serie in self.all_series
for val in serie.interpolated
]
self.yvals = [
val[1] for serie in self.series for val in serie.interpolated
]
if self.xvals:
xmin = min(self.xvals)
xmax = max(self.xvals)
xrng = (xmax - xmin)
else:
xrng = None
# these values can also be 0 (zero), so testing explicitly for None
if xrng is not None:
self._box.xmin, self._box.xmax = xmin, xmax
if yrng is not None:
self._box.ymin, self._box.ymax = ymin, ymax
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20,152 | importlib_metadata | entry_points | Return EntryPoint objects for all installed packages.
Pass selection parameters (group or name) to filter the
result to entry points matching those properties (see
EntryPoints.select()).
:return: EntryPoints for all installed packages.
| def entry_points(**params) -> EntryPoints:
"""Return EntryPoint objects for all installed packages.
Pass selection parameters (group or name) to filter the
result to entry points matching those properties (see
EntryPoints.select()).
:return: EntryPoints for all installed packages.
"""
eps = itertools.chain.from_iterable(
dist.entry_points for dist in _unique(distributions())
)
return EntryPoints(eps).select(**params)
| (**params) -> importlib_metadata.EntryPoints | [
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] |
20,168 | gitcomp.ser_de | FIELD | An enumeration. | class FIELD(Enum):
user_data = User
repo_data = Repository
| (value, names=None, *, module=None, qualname=None, type=None, start=1) | [
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20,169 | gitcomp.gitcomp_core | GitComp | null | class GitComp:
users: List[str]
repos: List[str]
user_data: Dict[str, User] = None
repo_data: Dict[str, Repository] = None
__username_regex = r'^[a-zA-Z0-9]+'
__repo_regex = r'^[A-Za-z0-9]+/[A-Za-z0-9]+'
def __init__(self, users: List[str] = None, repos: List[str] = None):
self.users = users
self.repos = repos
self.user_data = {}
if self.users is not None:
self.user_data = {}
self.__fetch_user_data()
if self.repos is not None:
self.repo_data = {}
self.__fetch_repo_data()
def __fetch_user_data(self):
self.__validate_user_names()
response = NetMod().fetch_users_data(self.users)
for user in response:
self.user_data[user] = User(response[user])
def __validate_user_names(self):
for user in self.users:
if not re.match(GitComp.__username_regex, user):
raise ValueError(f"""
Improper username {user}
""")
def __fetch_repo_data(self):
self.__validate_repo_string()
response = NetMod().fetch_repos_data(self.repos)
for repo in response:
self.repo_data[repo] = Repository(response[repo])
def __validate_repo_string(self):
for repo in self.repos:
if not re.match(GitComp.__repo_regex, repo):
raise ValueError("""
Improper repository format.
Provide the repository name as: <user-name>/<repository-name>
""")
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20,170 | gitcomp.gitcomp_core | __fetch_repo_data | null | def __fetch_repo_data(self):
self.__validate_repo_string()
response = NetMod().fetch_repos_data(self.repos)
for repo in response:
self.repo_data[repo] = Repository(response[repo])
| (self) | [
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20,171 | gitcomp.gitcomp_core | __fetch_user_data | null | def __fetch_user_data(self):
self.__validate_user_names()
response = NetMod().fetch_users_data(self.users)
for user in response:
self.user_data[user] = User(response[user])
| (self) | [
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20,172 | gitcomp.gitcomp_core | __validate_repo_string | null | def __validate_repo_string(self):
for repo in self.repos:
if not re.match(GitComp.__repo_regex, repo):
raise ValueError("""
Improper repository format.
Provide the repository name as: <user-name>/<repository-name>
""")
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20,173 | gitcomp.gitcomp_core | __validate_user_names | null | def __validate_user_names(self):
for user in self.users:
if not re.match(GitComp.__username_regex, user):
raise ValueError(f"""
Improper username {user}
""")
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20,174 | gitcomp.gitcomp_core | __init__ | null | def __init__(self, users: List[str] = None, repos: List[str] = None):
self.users = users
self.repos = repos
self.user_data = {}
if self.users is not None:
self.user_data = {}
self.__fetch_user_data()
if self.repos is not None:
self.repo_data = {}
self.__fetch_repo_data()
| (self, users: Optional[List[str]] = None, repos: Optional[List[str]] = None) | [
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0.004490397870540619,
0.048168882727622986,
0.025046339258551598
] |
20,175 | gitcomp.ser_de | PROP | An enumeration. | class PROP(Enum):
users = 'user_data'
repos = 'repo_data'
| (value, names=None, *, module=None, qualname=None, type=None, start=1) | [
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20,176 | gitcomp.repository | Repository | Repository(repo_data: dict) | class Repository:
name: str
full_name: str
private: bool
web_url: str
description: str
forked: str
created_at: datetime
updated_at: datetime
pushed_at: datetime
clone_url: str
stars: int
watches: int
language: str
forks: int
archived: bool
owner: str
open_issues: int
network_count: int
subscribers_count: int
git_score: int
license: str = None
display_rows = ['full_name', 'forks', 'open_issues', 'watches', 'network_count', 'subscribers_count', 'git_score']
__date_fmt = '%Y-%m-%dT%H:%M:%SZ'
__total_weight = 100 / 16
def __init__(self, repo_data: dict):
self.name = repo_data['name']
self.full_name = repo_data['full_name']
self.private = repo_data['private']
self.web_url = repo_data['html_url']
self.description = repo_data['description']
self.forked = repo_data['fork']
self.created_at = datetime.strptime(repo_data['created_at'], Repository.__date_fmt)
self.updated_at = datetime.strptime(repo_data['updated_at'], Repository.__date_fmt)
self.pushed_at = datetime.strptime(repo_data['pushed_at'], Repository.__date_fmt)
self.clone_url = repo_data['clone_url']
self.stars = repo_data['stargazers_count']
self.watches = repo_data['watchers_count']
self.language = repo_data['language']
self.forks = repo_data['forks_count']
self.archived = repo_data['archived']
self.owner = repo_data['owner']['login']
self.open_issues = repo_data['open_issues']
self.network_count = repo_data['network_count']
self.subscribers_count = repo_data['subscribers_count']
if repo_data['license'] is not None:
self.license = repo_data['license']['name']
self.git_score = self.get_score()
def feature_score(self, name, val, weight=1, metric={}):
"""
calculate score based upon val as compared to metric
Metric caonains max bounds for each value range and corresponing score
"""
fscore = 0
for i in metric:
if val <= i:
fscore = metric[i]
break
return weight * fscore
def get_score(self):
score = 0
score += self.feature_score('is_forked', self.forked, 1, {False: 4, True: 1})
score += self.feature_score('num_forks', self.forks, 1, {0: 1, 3: 2, 10: 3, sys.maxsize: 4})
score += self.feature_score('stars', self.stars, 1, {0: 1, 3: 2, 10: 3, sys.maxsize: 4})
score += self.feature_score('watchers', self.watches, 1, {0: 1, 3: 2, 10: 3, sys.maxsize: 4})
return int(score * Repository.__total_weight)
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20,177 | gitcomp.repository | __eq__ | null | from datetime import datetime
from dataclasses import dataclass
import sys
@dataclass(repr=True)
class Repository:
name: str
full_name: str
private: bool
web_url: str
description: str
forked: str
created_at: datetime
updated_at: datetime
pushed_at: datetime
clone_url: str
stars: int
watches: int
language: str
forks: int
archived: bool
owner: str
open_issues: int
network_count: int
subscribers_count: int
git_score: int
license: str = None
display_rows = ['full_name', 'forks', 'open_issues', 'watches', 'network_count', 'subscribers_count', 'git_score']
__date_fmt = '%Y-%m-%dT%H:%M:%SZ'
__total_weight = 100 / 16
def __init__(self, repo_data: dict):
self.name = repo_data['name']
self.full_name = repo_data['full_name']
self.private = repo_data['private']
self.web_url = repo_data['html_url']
self.description = repo_data['description']
self.forked = repo_data['fork']
self.created_at = datetime.strptime(repo_data['created_at'], Repository.__date_fmt)
self.updated_at = datetime.strptime(repo_data['updated_at'], Repository.__date_fmt)
self.pushed_at = datetime.strptime(repo_data['pushed_at'], Repository.__date_fmt)
self.clone_url = repo_data['clone_url']
self.stars = repo_data['stargazers_count']
self.watches = repo_data['watchers_count']
self.language = repo_data['language']
self.forks = repo_data['forks_count']
self.archived = repo_data['archived']
self.owner = repo_data['owner']['login']
self.open_issues = repo_data['open_issues']
self.network_count = repo_data['network_count']
self.subscribers_count = repo_data['subscribers_count']
if repo_data['license'] is not None:
self.license = repo_data['license']['name']
self.git_score = self.get_score()
def feature_score(self, name, val, weight=1, metric={}):
"""
calculate score based upon val as compared to metric
Metric caonains max bounds for each value range and corresponing score
"""
fscore = 0
for i in metric:
if val <= i:
fscore = metric[i]
break
return weight * fscore
def get_score(self):
score = 0
score += self.feature_score('is_forked', self.forked, 1, {False: 4, True: 1})
score += self.feature_score('num_forks', self.forks, 1, {0: 1, 3: 2, 10: 3, sys.maxsize: 4})
score += self.feature_score('stars', self.stars, 1, {0: 1, 3: 2, 10: 3, sys.maxsize: 4})
score += self.feature_score('watchers', self.watches, 1, {0: 1, 3: 2, 10: 3, sys.maxsize: 4})
return int(score * Repository.__total_weight)
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20,178 | gitcomp.repository | __init__ | null | def __init__(self, repo_data: dict):
self.name = repo_data['name']
self.full_name = repo_data['full_name']
self.private = repo_data['private']
self.web_url = repo_data['html_url']
self.description = repo_data['description']
self.forked = repo_data['fork']
self.created_at = datetime.strptime(repo_data['created_at'], Repository.__date_fmt)
self.updated_at = datetime.strptime(repo_data['updated_at'], Repository.__date_fmt)
self.pushed_at = datetime.strptime(repo_data['pushed_at'], Repository.__date_fmt)
self.clone_url = repo_data['clone_url']
self.stars = repo_data['stargazers_count']
self.watches = repo_data['watchers_count']
self.language = repo_data['language']
self.forks = repo_data['forks_count']
self.archived = repo_data['archived']
self.owner = repo_data['owner']['login']
self.open_issues = repo_data['open_issues']
self.network_count = repo_data['network_count']
self.subscribers_count = repo_data['subscribers_count']
if repo_data['license'] is not None:
self.license = repo_data['license']['name']
self.git_score = self.get_score()
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20,180 | gitcomp.repository | feature_score |
calculate score based upon val as compared to metric
Metric caonains max bounds for each value range and corresponing score
| def feature_score(self, name, val, weight=1, metric={}):
"""
calculate score based upon val as compared to metric
Metric caonains max bounds for each value range and corresponing score
"""
fscore = 0
for i in metric:
if val <= i:
fscore = metric[i]
break
return weight * fscore
| (self, name, val, weight=1, metric={}) | [
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20,181 | gitcomp.repository | get_score | null | def get_score(self):
score = 0
score += self.feature_score('is_forked', self.forked, 1, {False: 4, True: 1})
score += self.feature_score('num_forks', self.forks, 1, {0: 1, 3: 2, 10: 3, sys.maxsize: 4})
score += self.feature_score('stars', self.stars, 1, {0: 1, 3: 2, 10: 3, sys.maxsize: 4})
score += self.feature_score('watchers', self.watches, 1, {0: 1, 3: 2, 10: 3, sys.maxsize: 4})
return int(score * Repository.__total_weight)
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20,182 | gitcomp.user | User | User(user_data: dict) | class User:
login: str
followers: int
following: int
site_admin: bool
name: str
company: str
blog: str
location: str
public_repos: int
public_gists: int
git_score: int
organizations: int
display_rows = ['login', 'followers', 'following', 'site_admin', 'name', 'company', 'blog', 'location',
'public_repos', 'public_gists', 'git_score']
__total_weight = 100 / 16
def __init__(self, user_data: dict):
"""
setup a user object containing a user's vital stats, equivalent to using the CLI tool with the -u flag
:param user_data: the json dictionary we get from calling the GitHub API
"""
self.login = user_data['login']
self.followers = user_data['followers']
self.following = user_data['following']
self.site_admin = user_data['site_admin']
self.name = user_data['name']
self.company = user_data['company']
self.blog = user_data['blog']
self.location = user_data['location']
self.public_repos = user_data['public_repos']
self.public_gists = user_data['public_gists']
self.organizations = self.__get_orgs_len()
self.git_score = self.get_score()
def __get_orgs_len(self):
response = NetMod().fetch_org_data(self.login)
return len(response)
def feature_score(self, name, val, weight=1, metric={}):
fscore = 0
for i in metric:
if val <= i:
fscore = metric[i]
break
return weight * fscore
def get_score(self):
score = 0
score += self.feature_score('num_followers', self.followers, 1, {10: 1, 25: 2, 50: 3, sys.maxsize: 4})
# todo-> contrib/ time
score += self.feature_score('num_organizaitions', self.organizations, 1,
{0: 1, 3: 2, 7: 4, 10: 3, sys.maxsize: 2})
# todo-> repos: forked/org
score += self.feature_score('num_gists', self.public_gists, 1, {0: 1, 4: 2, 10: 3, sys.maxsize: 4})
# todo-> stars given
# todo-> stars recieved
try:
score += self.feature_score('follow_ratio', self.followers / self.following, 1,
{0.99: 1, 1: 2, 2: 3, sys.maxsize: 4})
except ZeroDivisionError:
pass
return int(score * User.__total_weight)
| (user_data: dict) | [
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20,183 | gitcomp.user | __get_orgs_len | null | def __get_orgs_len(self):
response = NetMod().fetch_org_data(self.login)
return len(response)
| (self) | [
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20,184 | gitcomp.user | __eq__ | null | from dataclasses import dataclass
from .net_mod import NetMod
import sys
@dataclass(repr=True)
class User:
login: str
followers: int
following: int
site_admin: bool
name: str
company: str
blog: str
location: str
public_repos: int
public_gists: int
git_score: int
organizations: int
display_rows = ['login', 'followers', 'following', 'site_admin', 'name', 'company', 'blog', 'location',
'public_repos', 'public_gists', 'git_score']
__total_weight = 100 / 16
def __init__(self, user_data: dict):
"""
setup a user object containing a user's vital stats, equivalent to using the CLI tool with the -u flag
:param user_data: the json dictionary we get from calling the GitHub API
"""
self.login = user_data['login']
self.followers = user_data['followers']
self.following = user_data['following']
self.site_admin = user_data['site_admin']
self.name = user_data['name']
self.company = user_data['company']
self.blog = user_data['blog']
self.location = user_data['location']
self.public_repos = user_data['public_repos']
self.public_gists = user_data['public_gists']
self.organizations = self.__get_orgs_len()
self.git_score = self.get_score()
def __get_orgs_len(self):
response = NetMod().fetch_org_data(self.login)
return len(response)
def feature_score(self, name, val, weight=1, metric={}):
fscore = 0
for i in metric:
if val <= i:
fscore = metric[i]
break
return weight * fscore
def get_score(self):
score = 0
score += self.feature_score('num_followers', self.followers, 1, {10: 1, 25: 2, 50: 3, sys.maxsize: 4})
# todo-> contrib/ time
score += self.feature_score('num_organizaitions', self.organizations, 1,
{0: 1, 3: 2, 7: 4, 10: 3, sys.maxsize: 2})
# todo-> repos: forked/org
score += self.feature_score('num_gists', self.public_gists, 1, {0: 1, 4: 2, 10: 3, sys.maxsize: 4})
# todo-> stars given
# todo-> stars recieved
try:
score += self.feature_score('follow_ratio', self.followers / self.following, 1,
{0.99: 1, 1: 2, 2: 3, sys.maxsize: 4})
except ZeroDivisionError:
pass
return int(score * User.__total_weight)
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20,185 | gitcomp.user | __init__ |
setup a user object containing a user's vital stats, equivalent to using the CLI tool with the -u flag
:param user_data: the json dictionary we get from calling the GitHub API
| def __init__(self, user_data: dict):
"""
setup a user object containing a user's vital stats, equivalent to using the CLI tool with the -u flag
:param user_data: the json dictionary we get from calling the GitHub API
"""
self.login = user_data['login']
self.followers = user_data['followers']
self.following = user_data['following']
self.site_admin = user_data['site_admin']
self.name = user_data['name']
self.company = user_data['company']
self.blog = user_data['blog']
self.location = user_data['location']
self.public_repos = user_data['public_repos']
self.public_gists = user_data['public_gists']
self.organizations = self.__get_orgs_len()
self.git_score = self.get_score()
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20,187 | gitcomp.user | feature_score | null | def feature_score(self, name, val, weight=1, metric={}):
fscore = 0
for i in metric:
if val <= i:
fscore = metric[i]
break
return weight * fscore
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] |
20,188 | gitcomp.user | get_score | null | def get_score(self):
score = 0
score += self.feature_score('num_followers', self.followers, 1, {10: 1, 25: 2, 50: 3, sys.maxsize: 4})
# todo-> contrib/ time
score += self.feature_score('num_organizaitions', self.organizations, 1,
{0: 1, 3: 2, 7: 4, 10: 3, sys.maxsize: 2})
# todo-> repos: forked/org
score += self.feature_score('num_gists', self.public_gists, 1, {0: 1, 4: 2, 10: 3, sys.maxsize: 4})
# todo-> stars given
# todo-> stars recieved
try:
score += self.feature_score('follow_ratio', self.followers / self.following, 1,
{0.99: 1, 1: 2, 2: 3, sys.maxsize: 4})
except ZeroDivisionError:
pass
return int(score * User.__total_weight)
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] |
20,189 | gitcomp.ser_de | Writer | null | class Writer:
obj: object
prop: str
type: str
out_file: Union[TextIO, str] = stdout
writers: Dict[str, callable]
display_rows: List[str]
__ascii_threshold = 4
file_handle: TextIO = stdout
def __init__(self, prop, obj, out_type, out_file=None):
self.obj = obj
self.prop = prop
self.type = out_type
self.display_rows = sorted(FIELD[prop].value.display_rows)
self.writers = {
'json': self.__to_json,
'csv': self.__to_csv,
'ascii': self.__to_ascii_table,
'html': self.__to_html_table
}
if out_file is not None:
self.out_file = out_file
self.file_handle = open(out_file, 'w')
def __del__(self):
if self.file_handle is not stdout:
self.file_handle.close()
def write(self):
writer = self.__get_writer()
attr = getattr(self.obj, self.prop)
writer(attr)
def __get_writer(self):
return self.writers[self.type]
@writer_wrapper
def __to_json(self, g: object):
json.dump(g, self.file_handle, cls=Serializer, indent=4, sort_keys=True)
@writer_wrapper
def __to_csv(self, g: object):
dict_obj = Writer.__to_dict(g)
headers = Writer.__get_headers(dict_obj)
writer = csv.DictWriter(self.file_handle, fieldnames=headers)
writer.writeheader()
for entry in dict_obj.keys():
writer.writerow(dict_obj[entry])
@writer_wrapper
def __to_ascii_table(self, g: Dict[str, Union[User, Repository]]):
headers, rows = self.__get_table_content(g)
if len(g.keys()) < Writer.__ascii_threshold:
table_writer = self.__get_table_transpose(g, headers, rows)
else:
table_writer = self.__get_table(headers, rows)
self.file_handle.write(table_writer)
@writer_wrapper
def __to_html_table(self, g: Dict[str, Union[User, Repository]]):
headers, rows = self.__get_table_content(g)
table_writer = tabulate(rows, headers=headers, tablefmt='html')
self.file_handle.write(table_writer)
@staticmethod
def __to_dict(g: object) -> Dict[str, Any]:
return json.loads(json.dumps(g, cls=Serializer, indent=4, sort_keys=True))
@staticmethod
def __get_headers(g: Dict[str, Any]) -> List[str]:
members = list(g.keys())
return list(g[members[0]].keys())
@staticmethod
def __get_table_transpose(g: Dict[str, Union[User, Repository]], headers: List[str], rows: List[str]):
new_headers, new_rows = Writer.__get_transpose(g, rows, headers)
return tabulate(new_rows, headers=new_headers, tablefmt='pretty')
@staticmethod
def __get_table(headers: List[str], rows: List[str]):
return tabulate(rows, headers=headers, tablefmt='plain')
def __get_table_content(self, g: Dict[str, Union[User, Repository]]):
dict_repr = Writer.__to_dict(g)
if self.out_file is stdout and self.type == 'ascii':
dict_repr = self.__summarize(dict_repr)
headers = Writer.__get_headers(dict_repr)
rows = Writer.__get_entries_as_rows(dict_repr)
return headers, rows
@staticmethod
def __get_entries_as_rows(g: Dict[str, Any]) -> List[Any]:
rows = []
for entry in g.keys():
rows.append(list(g[entry].values()))
return rows
@staticmethod
def __get_transpose(g: Dict[str, Union[User, Repository]], rows, headers):
new_rows = []
new_headers = [' '] + list(g.keys())
for i in range(len(rows[0])):
new_rows.append([rows[j][i] for j in range(len(rows))])
for i in range(len(new_rows)):
new_rows[i] = [headers[i]] + new_rows[i]
return new_headers, new_rows
def __summarize(self, dict_repr: Dict[str, Any]):
summary = {}
for entry in dict_repr:
summary[entry] = {k: dict_repr[entry][k] for k in self.display_rows}
return summary
| (prop: str, obj: object, out_type, out_file: Union[TextIO, str] = None) | [
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20,190 | gitcomp.ser_de | __get_entries_as_rows | null | @staticmethod
def __get_entries_as_rows(g: Dict[str, Any]) -> List[Any]:
rows = []
for entry in g.keys():
rows.append(list(g[entry].values()))
return rows
| (g: Dict[str, Any]) -> List[Any] | [
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20,191 | gitcomp.ser_de | __get_headers | null | @staticmethod
def __get_headers(g: Dict[str, Any]) -> List[str]:
members = list(g.keys())
return list(g[members[0]].keys())
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20,192 | gitcomp.ser_de | __get_table | null | @staticmethod
def __get_table(headers: List[str], rows: List[str]):
return tabulate(rows, headers=headers, tablefmt='plain')
| (headers: List[str], rows: List[str]) | [
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20,193 | gitcomp.ser_de | __get_table_content | null | def __get_table_content(self, g: Dict[str, Union[User, Repository]]):
dict_repr = Writer.__to_dict(g)
if self.out_file is stdout and self.type == 'ascii':
dict_repr = self.__summarize(dict_repr)
headers = Writer.__get_headers(dict_repr)
rows = Writer.__get_entries_as_rows(dict_repr)
return headers, rows
| (self, g: Dict[str, Union[gitcomp.user.User, gitcomp.repository.Repository]]) | [
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20,194 | gitcomp.ser_de | __get_table_transpose | null | @staticmethod
def __get_table_transpose(g: Dict[str, Union[User, Repository]], headers: List[str], rows: List[str]):
new_headers, new_rows = Writer.__get_transpose(g, rows, headers)
return tabulate(new_rows, headers=new_headers, tablefmt='pretty')
| (g: Dict[str, Union[gitcomp.user.User, gitcomp.repository.Repository]], headers: List[str], rows: List[str]) | [
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20,195 | gitcomp.ser_de | __get_transpose | null | @staticmethod
def __get_transpose(g: Dict[str, Union[User, Repository]], rows, headers):
new_rows = []
new_headers = [' '] + list(g.keys())
for i in range(len(rows[0])):
new_rows.append([rows[j][i] for j in range(len(rows))])
for i in range(len(new_rows)):
new_rows[i] = [headers[i]] + new_rows[i]
return new_headers, new_rows
| (g: Dict[str, Union[gitcomp.user.User, gitcomp.repository.Repository]], rows, headers) | [
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20,196 | gitcomp.ser_de | __get_writer | null | def __get_writer(self):
return self.writers[self.type]
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20,197 | gitcomp.ser_de | __summarize | null | def __summarize(self, dict_repr: Dict[str, Any]):
summary = {}
for entry in dict_repr:
summary[entry] = {k: dict_repr[entry][k] for k in self.display_rows}
return summary
| (self, dict_repr: Dict[str, Any]) | [
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20,198 | gitcomp.ser_de | wrapper | null | def writer_wrapper(writer):
def wrapper(ref, g: object):
writer(ref, g)
if ref.file_handle is stdout:
ref.file_handle.write('\n')
return wrapper
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20,200 | gitcomp.ser_de | __to_dict | null | @staticmethod
def __to_dict(g: object) -> Dict[str, Any]:
return json.loads(json.dumps(g, cls=Serializer, indent=4, sort_keys=True))
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20,203 | gitcomp.ser_de | __del__ | null | def __del__(self):
if self.file_handle is not stdout:
self.file_handle.close()
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20,204 | gitcomp.ser_de | __init__ | null | def __init__(self, prop, obj, out_type, out_file=None):
self.obj = obj
self.prop = prop
self.type = out_type
self.display_rows = sorted(FIELD[prop].value.display_rows)
self.writers = {
'json': self.__to_json,
'csv': self.__to_csv,
'ascii': self.__to_ascii_table,
'html': self.__to_html_table
}
if out_file is not None:
self.out_file = out_file
self.file_handle = open(out_file, 'w')
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20,205 | gitcomp.ser_de | write | null | def write(self):
writer = self.__get_writer()
attr = getattr(self.obj, self.prop)
writer(attr)
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20,211 | fastapi_health.route | health | null | def health(
conditions: List[Callable[..., Union[Dict[str, Any], bool]]],
*,
success_handler: Callable[..., Awaitable] = default_handler,
failure_handler: Callable[..., Awaitable] = default_handler,
success_status: int = 200,
failure_status: int = 503,
):
async def endpoint(**dependencies):
if all(dependencies.values()):
handler = success_handler
status_code = success_status
else:
handler = failure_handler
status_code = failure_status
output = await handler(**dependencies)
return JSONResponse(jsonable_encoder(output), status_code=status_code)
params = []
for condition in conditions:
params.append(
Parameter(
f"{condition.__name__}",
kind=Parameter.POSITIONAL_OR_KEYWORD,
annotation=bool,
default=Depends(condition),
)
)
endpoint.__signature__ = Signature(params)
return endpoint
| (conditions: List[Callable[..., Union[Dict[str, Any], bool]]], *, success_handler: Callable[..., Awaitable] = <function default_handler at 0x7fc8cb313d00>, failure_handler: Callable[..., Awaitable] = <function default_handler at 0x7fc8cb313d00>, success_status: int = 200, failure_status: int = 503) | [
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20,215 | pandas_datareader.data | DataReader |
Imports data from a number of online sources.
Currently supports Google Finance, St. Louis FED (FRED),
and Kenneth French's data library, among others.
Parameters
----------
name : str or list of strs
the name of the dataset. Some data sources (IEX, fred) will
accept a list of names.
data_source: {str, None}
the data source ("iex", "fred", "ff")
start : string, int, date, datetime, Timestamp
left boundary for range (defaults to 1/1/2010)
end : string, int, date, datetime, Timestamp
right boundary for range (defaults to today)
retry_count : {int, 3}
Number of times to retry query request.
pause : {numeric, 0.001}
Time, in seconds, to pause between consecutive queries of chunks. If
single value given for symbol, represents the pause between retries.
session : Session, default None
requests.sessions.Session instance to be used
api_key : (str, None)
Optional parameter to specify an API key for certain data sources.
Examples
----------
# Data from Google Finance
aapl = DataReader("AAPL", "iex")
# Price and volume data from IEX
tops = DataReader(["GS", "AAPL"], "iex-tops")
# Top of book executions from IEX
gs = DataReader("GS", "iex-last")
# Real-time depth of book data from IEX
gs = DataReader("GS", "iex-book")
# Data from FRED
vix = DataReader("VIXCLS", "fred")
# Data from Fama/French
ff = DataReader("F-F_Research_Data_Factors", "famafrench")
ff = DataReader("F-F_Research_Data_Factors_weekly", "famafrench")
ff = DataReader("6_Portfolios_2x3", "famafrench")
ff = DataReader("F-F_ST_Reversal_Factor", "famafrench")
| def get_dailysummary_iex(*args, **kwargs):
"""
Returns a summary of daily market volume statistics. Without parameters,
this will return the most recent trading session by default.
Parameters
----------
start : string, int, date, datetime, Timestamp
The beginning of the date range.
end : string, int, date, datetime, Timestamp
The end of the date range.
Reference: https://www.iextrading.com/developer/docs/#historical-daily
:return: DataFrame
"""
from pandas_datareader.iex.stats import DailySummaryReader
return DailySummaryReader(*args, **kwargs).read()
| (name, data_source=None, start=None, end=None, retry_count=3, pause=0.1, session=None, api_key=None) | [
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] |
20,216 | pandas_datareader.data | Options | null | def Options(symbol, data_source=None, session=None):
if data_source is None:
warnings.warn(
"Options(symbol) is deprecated, use Options(symbol,"
" data_source) instead",
FutureWarning,
stacklevel=2,
)
data_source = "yahoo"
if data_source == "yahoo":
raise ImmediateDeprecationError(DEP_ERROR_MSG.format("Yahoo Options"))
return YahooOptions(symbol, session=session)
else:
raise NotImplementedError("currently only yahoo supported")
| (symbol, data_source=None, session=None) | [
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