dataframe drop list of columns code example

Example 1: 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

Example 2: drop a column in pandas

note: df is your dataframe

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

Example 3: drop list of columns pandas

df.drop([item for item in total_cols if item not in columns_in_use], axis=)

Example 4: python - dataframe columns is a list - drop

# Df with a coulmn (dims) that contain list
key1 = 'site channel fiscal_week'.split()
key2 = 'site dude fiscal_week'.split()
key3 = 'site eng fiscal_week'.split()

keys = pd.DataFrame({'key': [1,2,3],
                     'dims': [key1,key2,key3]})

# Output
                         dims  key
[site, channel, fiscal_week]    1
[site, dude, fiscal_week]       2
[site, eng, fiscal_week]        3


# Solution
keys['reduced_dims'] = keys['dims'].apply(
    lambda row: [val for val in row if val != 'fiscal_week']
)