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Update app.py
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app.py
CHANGED
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@@ -1,3 +1,4 @@
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# 19feb2023
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#https://huggingface.co/spaces/keras-io/timeseries_forecasting_for_weather/
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@@ -22,7 +23,7 @@ for i in range(ayear-backlogmax,ayear,1):
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df = pd.read_csv(alink, skiprows=[0,1,2], skipfooter=3, engine='python', on_bad_lines='skip')
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st.write(i)
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nparray = np.array()
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df = df.reset_index() # make sure indexes pair with number of rows
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for index, row in df.iterrows():
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if (row[2]!=amonth) or (row[3]!=amonthday):
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@@ -33,4 +34,4 @@ for i in range(ayear-backlogmax,ayear,1):
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np.append(nparray,[[adate,"",row[4],"","","","","","","","","","","",""]],axis=0)
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break
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adf = pd.concat([adf, pd.DataFrame(nparray)], axis=0)
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st.dataframe(adf)
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+
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# 19feb2023
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#https://huggingface.co/spaces/keras-io/timeseries_forecasting_for_weather/
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df = pd.read_csv(alink, skiprows=[0,1,2], skipfooter=3, engine='python', on_bad_lines='skip')
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st.write(i)
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nparray = np.array([[]])
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df = df.reset_index() # make sure indexes pair with number of rows
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for index, row in df.iterrows():
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if (row[2]!=amonth) or (row[3]!=amonthday):
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np.append(nparray,[[adate,"",row[4],"","","","","","","","","","","",""]],axis=0)
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break
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adf = pd.concat([adf, pd.DataFrame(nparray)], axis=0)
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st.dataframe(adf)
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