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:

[code]df_Selections = pd.concat([firstSelection, secondSelection], axis=0, ignore_index=True)[/code]

 Avoid copy warning (with Pandas 1, but can be dangerous)

[code]import warnings
from pandas.core.common import SettingWithCopyWarning

warnings.simplefilter(action='ignore', category=SettingWithCopyWarning)[/code]

 Avoid copy warning

[code]# Below importations, above your code
pd.options.mode.chained_assignment = None[/code]

Avoid user warning 

[code]import warnings

warnings.simplefilter(action='ignore', category=UserWarning)[/code]

Avoid future warning

[code]import warnings

warnings.simplefilter(action='ignore', category=FutureWarning)[/code]

Avoid VisibleDeprecationWarning

[code]import warnings
import numpy

warnings.filterwarnings('ignore', category=numpy.VisibleDeprecationWarning)[/code]

Avoid PerformanceWarning

[code]import warnings

warnings.simplefilter(action='ignore', category=pd.errors.PerformanceWarning)[/code]