/Python/Python how to drop columns from dataframe

Python how to drop columns from dataframe

Df drop column

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

Source: pandas.pydata.org

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]

Similar codes

0 vote311 views1 answer
Pandas df to list of dictionaries
Python
10 votes308 views2 answers
Python pathlib create directory if not exists
Python
1 vote334 views1 answer
Select certain element from ndarray python
Python
-2 votes370 views2 answers
Where to import reverse_lazy in django
Python Django
4 votes391 views2 answers
Django template for range
Python Django
0 vote319 views1 answer
How to make a label in python
Python
0 vote325 views1 answer
Pandas return indices that match
Python
0 vote329 views1 answer
Docker remote
Python
-1 vote311 views1 answer
Python curses resize window
Python
0 vote328 views1 answer
Python string: indexing and slicing string
Python