"drop dataframe columns" Code Answer's
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drop a column pandas
The Frenchy
on Nov 08, 2020
df.drop(['column_1', 'Column_2'], axis = 1, inplace = True) how to drop columns in pandas
Bored Bison
on May 02, 2020
>>>df = pd.DataFrame(np.arange(12).reshape(3, 4),
columns=['A', 'B', 'C', 'D'])
>>>df
A B C D
0 0 1 2 3
1 4 5 6 7
2 8 9 10 11
>>> df.drop(['B', 'C'], axis=1)
A D
0 0 3
1 4 7
2 8 11
OR
>>> df.drop(columns=['B', 'C'])
A D
0 0 3
1 4 7
2 8 11drop column dataframe
Magnificent Moth
on Apr 30, 2020
df.drop(columns=['Unnamed: 0'])pandas dataframe delete column
Magnificent Mole
on Jun 29, 2020
del df['column_name']Source: stackoverflow.com
how to drop a column by name in pandas
pug_nacious_pug
on Aug 29, 2020
>>> df.drop(['B', 'C'], axis=1)
A D
0 0 3
1 4 7
2 8 11
Source: pandas.pydata.org
drop dataframe columns
Troubled Thrush
on Apr 12, 2021
# 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)
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