At the end of notebook,when time series came in, lines 15 and 16, some errors happen and no temperature fixing is possible:
/home/jovyan/work/ungraded_lab_1/utils.py:330: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead
See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
data["Etmp (°C)"] = data["Etmp (°C)"].apply(
/home/jovyan/work/ungraded_lab_1/utils.py:333: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead
See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
data["Etmp (°C)"] = data["Etmp (°C)"].interpolate()
/home/jovyan/work/ungraded_lab_1/utils.py:335: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead
See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
data["Itmp (°C)"] = data["Itmp (°C)"].apply(
/home/jovyan/work/ungraded_lab_1/utils.py:338: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead
See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
data["Itmp (°C)"] = data["Itmp (°C)"].interpolate()