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

Df drop column

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

Source: pandas.pydata.org

Drop a column in pandas

note: df is your dataframe

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

Python how to drop columns from dataframe

# When you have many columns, and only want to keep a few:
# drop columns which are not needed.

# df = pandas.Dataframe()
columnsToKeep = ['column_1', 'column_13', 'column_99']
df_subset = df[columnsToKeep]

# Or:
df = df[columnsToKeep]

Remove columns from dataframe

df.drop('col_name',1) #1 drop column / 0 drop row

Drop a column from dataframe

#to drop by column number instead of by column label, try this to delete, e.g. the 1st, 2nd and 4th columns
df = df.drop(df.columns[[0, 1, 3]], axis=1)  # df.columns is zero-based pd.Index

-1

Source: stackoverflow.com

Similar codes

0 vote144 views2 answers
Numpy index of first true value
Python
0 vote154 views1 answer
Newtorkx remove node
Python
0 vote145 views1 answer
Django nested inlines
Python
8 votes148 views4 answers
How to reverse a dictionary in python
Python
0 vote166 views1 answer
Pandas description of dataframe renaming column values
Python
0 vote147 views1 answer
Python for character in string
Python
5 votes116 views1 answer
Python multi split
Python
0 vote155 views1 answer
Distplot for 2 columns
Python
25 votes153 views6 answers
Python if
Python
0 vote170 views1 answer
Find-squares-and-odd-numbers-in-the-given-list
Python