delete unnamed coloumns in pandas
# Best method so far.
df = df.loc[:, ~df.columns.str.contains('^Unnamed')]
delete unnamed coloumns in pandas
# Best method so far.
df = df.loc[:, ~df.columns.str.contains('^Unnamed')]
drop dataframe columns from list of column names
# Drop The Original Categorical Columns which had Whitespace Issues in their values
df.drop(cat_columns, axis = 1, inplace = True)
dict_1 = {'workclass_stripped':'workclass', 'education_stripped':'education',
'marital-status_stripped':'marital_status', 'occupation_stripped':'occupation',
'relationship_stripped':'relationship', 'race_stripped':'race',
'sex_stripped':'sex', 'native-country_stripped':'native-country',
'Income_stripped':'Income'}
df.rename(columns = dict_1, inplace = True)
df
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