leuschnm commited on
Commit
d034ca9
·
1 Parent(s): 90de3d0
Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -73,7 +73,7 @@ def update_plot(df, preds, axs):
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  @st.cache_resource
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  def generate_plot(df):
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  fig, axs = plt.subplots(2, 2, figsize=(8, 6))
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- df[["sales", "pred"]] = df[["sales", "pred"]].replace(0.0, np.nan)
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  # Plot scatter plots for each group
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  axs[0, 0].plot(df.loc[df['Group'] == '4', 'Date'], df.loc[df['Group'] == '4', 'sales'], color='grey')
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@@ -142,7 +142,7 @@ def main():
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  datepicker = st.date_input("Start of Forecast", datetime.date(2022, 10, 24), min_value=datetime.date(2022, 6, 26) + datetime.timedelta(days = 35), max_value=datetime.date(2023, 6, 26) - datetime.timedelta(days = 30))
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- fig, axs = generate_plot(df)
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  st.pyplot(fig)
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  @st.cache_resource
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  def generate_plot(df):
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  fig, axs = plt.subplots(2, 2, figsize=(8, 6))
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+ df["sales"] = df["sales"].replace(0.0, np.nan)
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  # Plot scatter plots for each group
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  axs[0, 0].plot(df.loc[df['Group'] == '4', 'Date'], df.loc[df['Group'] == '4', 'sales'], color='grey')
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  datepicker = st.date_input("Start of Forecast", datetime.date(2022, 10, 24), min_value=datetime.date(2022, 6, 26) + datetime.timedelta(days = 35), max_value=datetime.date(2023, 6, 26) - datetime.timedelta(days = 30))
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+ fig, axs = generate_plot(df.copy())
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  st.pyplot(fig)
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