Pandas Eliminar espacios finales líderes en DataFrame
# Importing required libraries
import pandas as pd
# Creating DataFrame having 4 columns and but
# the data is in unregularized way.
df = pd.DataFrame({'Names': [' Sunny', 'Bunny', 'Ginny ',
' Binny ', ' Chinni', 'Minni'],
'Age': [23, 44, 23, 54, 22, 11],
'Blood_Group': [' A+', ' B+', 'O+', 'O-',
' A-', 'B-'],
'Gender': [' M', ' M', 'F', 'F', 'F', ' F']
})
# Creating a function which will remove extra leading
# and tailing whitespace from the data.
# pass dataframe as a parameter here
def whitespace_remover(dataframe):
# iterating over the columns
for i in dataframe.columns:
# checking datatype of each columns
if dataframe[i].dtype == 'object':
# applying strip function on column
dataframe[i] = dataframe[i].map(str.strip)
else:
# if condn. is False then it will do nothing.
pass
# applying whitespace_remover function on dataframe
whitespace_remover(df)
# printing dataframe
print(df)
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