Answers for "drop columns by selecting pandas series"

4

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
Posted by: Guest on April-25-2020
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]
Posted by: Guest on November-04-2021

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