in class changes

app.py

@@ -1,73 +0,0 @@
-# INSTRUCTIONS:
-# 1. Open a "Terminal" by: View --> Terminal OR just the "Terminal" through the hamburger menu
-# 2. run in terminal with: streamlit run app.py
-# 3. click the "Open in Browser" link that pops up OR click on "Ports" and copy the URL
-# 4. Open a Simple Browswer with View --> Command Palette --> Simple Browser: Show
-# 5. use the URL from prior steps as intput into this simple browser
-
-
-import streamlit as st
-import altair as alt
-from vega_datasets import data
- 
-st.title('My First Streamlit App')
-
-st.text("The URL for this app is: https://huggingface.co/spaces/jnaiman/is445_demo")
-
-source = data.seattle_weather()
-
-scale = alt.Scale(
-    domain=["sun", "fog", "drizzle", "rain", "snow"],
-    range=["#e7ba52", "#a7a7a7", "#aec7e8", "#1f77b4", "#9467bd"],
-)
-color = alt.Color("weather:N", scale=scale)
-
-# We create two selections:
-# - a brush that is active on the top panel
-# - a multi-click that is active on the bottom panel
-brush = alt.selection_interval(encodings=["x"])
-click = alt.selection_point(encodings=["color"])
-
-# Top panel is scatter plot of temperature vs time
-points = (
-    alt.Chart()
-    .mark_point()
-    .encode(
-        alt.X("monthdate(date):T", title="Date"),
-        alt.Y(
-            "temp_max:Q",
-            title="Maximum Daily Temperature (C)",
-            scale=alt.Scale(domain=[-5, 40]),
-        ),
-        color=alt.condition(brush, color, alt.value("lightgray")),
-        size=alt.Size("precipitation:Q", scale=alt.Scale(range=[5, 200])),
-    )
-    .properties(width=550, height=300)
-    .add_params(brush)
-    .transform_filter(click)
-)
-
-# Bottom panel is a bar chart of weather type
-bars = (
-    alt.Chart()
-    .mark_bar()
-    .encode(
-        x="count()",
-        y="weather:N",
-        color=alt.condition(click, color, alt.value("lightgray")),
-    )
-    .transform_filter(brush)
-    .properties(
-        width=550,
-    )
-    .add_params(click)
-)
-
-chart = alt.vconcat(points, bars, data=source, title="Seattle Weather: 2012-2015")
-
-tab1, tab2 = st.tabs(["Streamlit theme (default)", "Altair native theme"])
-
-with tab1:
-    st.altair_chart(chart, theme="streamlit", use_container_width=True)
-with tab2:
-    st.altair_chart(chart, theme=None, use_container_width=True)

inClass_script_week10.py

@@ -48,4 +48,32 @@ col1,col2 = st.columns([0.7, 0.25])
 col1.altair_chart(scatters, theme='streamlit',
                   use_container_width=True)
 col2.markdown("Here is some text on the side of the plot.")
-col2.image('https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQAXjp6mzNlkMEEiMomUfTEMiX8NHpopoyyXg&s')
+col2.image('https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQAXjp6mzNlkMEEiMomUfTEMiX8NHpopoyyXg&s')
+
+
+st.header("Day 2 (Week 11)")
+
+# Read in data with pandas
+import pandas as pd
+df = pd.read_csv(mobility_url)
+
+#df
+st.write(df)
+
+import matplotlib.pyplot as plt
+fig, ax = plt.subplots()
+df['Seg_income'].plot(kind='hist',ax=ax)
+#plt.show() # need to use streamlit infrastructure for this
+st.pyplot(fig)
+
+st.write("""Note I have added some things to 
+         the requirements.txt file. """)
+st.code("""
+streamlit==1.39.0
+altair
+numpy
+matplotlib
+pandas
+ """)
+
+st.header("Widgets in Streamlit apps")