Pandas drop columns

Drop a column from dataframe

#To delete the column without having to reassign df
df.drop('column_name', axis=1, inplace=True)

Source: stackoverflow.com

Python drop axis

df.drop(['colonna da togliere'], axis=1)

Df drop column

df = df.drop(['B', 'C'], axis=1)

Source: pandas.pydata.org

Python code to drop columns from dataframe

# Let df be a dataframe
# Let new_df be a dataframe after dropping a column

new_df = df.drop(labels='column_name', axis=1)

# Or if you don't want to change the name of the dataframe
df = df.drop(labels='column_name', axis=1)

# Or to remove several columns
df = df.drop(['list_of_column_names'], axis=1)

# axis=0 for 'rows' and axis=1 for columns

Drop a column in pandas

note: df is your dataframe

df = df.drop('coloum_name',axis=1)

Pandas drop columns

In [212]:
df = pd.DataFrame(np.random.randint(0, 2, (10, 4)), columns=list('abcd'))
df.apply(pd.Series.value_counts)
Out[212]:
   a  b  c  d
0  4  6  4  3
1  6  4  6  7

Source: stackoverflow.com

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