Page 22 sur 23
Warnings
Avoid indexation problems after dataframes concat
Sometimes after a dataframes concatenation, the indexes are melted and can cause some problems. Just ignore the index in your new dataframe:
df_Selections = pd.concat([firstSelection, secondSelection], axis=0, ignore_index=True)
Avoid copy warning (example 1)
import warnings from pandas.core.common import SettingWithCopyWarning warnings.simplefilter(action='ignore', category=SettingWithCopyWarning)
Avoid copy warning (example 2)
# Below importations, above your code pd.options.mode.chained_assignment = None
Avoid user warning
import warnings warnings.simplefilter(action='ignore', category=UserWarning)
Avoid future warning
import warnings warnings.simplefilter(action='ignore', category=FutureWarning)
Avoid VisibleDeprecationWarning
import warnings import numpy warnings.filterwarnings('ignore', category=numpy.VisibleDeprecationWarning)