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 (with Pandas 1, but can be dangerous)

import warnings
from pandas.core.common import SettingWithCopyWarning
 
warnings.simplefilter(action='ignore', category=SettingWithCopyWarning)

 Avoid copy warning

# 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)

Avoid PerformanceWarning

import warnings
 
warnings.simplefilter(action='ignore', category=pd.errors.PerformanceWarning)

Liens ou pièces jointes

France-Departements-Deformation.zip	[France-Departements-Deformation]	335 Ko
simple_countries.zip	[simple_countries]	1880 Ko