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import pandas as pd
import plotly.graph_objects as go
NEWS_COUNT_COLUMN = 0
def plot_time_series(file_path):
df = pd.read_csv(file_path)
fig = go.Figure()
fig.add_trace(go.Scatter(x=df.iloc[:, 0], y=df.iloc[:, 1], mode='lines', name='Time Series'))
fig.update_layout(title='Disease Mention Time Series', xaxis_title='Date', yaxis_title='Count')
return fig
def plot_anomalies(df, anomaly_col='new_label'):
print(df)
fig = go.Figure()
fig.add_trace(go.Scatter(
x=df.index,
y=df.iloc[:, NEWS_COUNT_COLUMN],
mode='lines',
name='Time Series',
line=dict(color='blue')
))
anomalies = df[df[anomaly_col] == 1]
fig.add_trace(go.Scatter(
x=anomalies.index,
y=anomalies.iloc[:, NEWS_COUNT_COLUMN],
mode='markers',
name='Anomalies',
marker=dict(color='red', size=10, symbol='circle')
))
fig.update_layout(
title='Disease Mention Time Series with Detected Anomalies',
xaxis_title='Date',
yaxis_title='Count',
showlegend=True
)
return fig |