pandas change multiple column types
#Two ways to do this
df[['parks', 'playgrounds', 'sports']].apply(lambda x: x.astype('category'))
cols = ['parks', 'playgrounds', 'sports', 'roading']:
public[cols] = public[cols].astype('category')pandas change multiple column types
#Two ways to do this
df[['parks', 'playgrounds', 'sports']].apply(lambda x: x.astype('category'))
cols = ['parks', 'playgrounds', 'sports', 'roading']:
public[cols] = public[cols].astype('category')assign multiple columns pandas
import pandas as pd
df = {'col_1': [0, 1, 2, 3],
'col_2': [4, 5, 6, 7]}
df = pd.DataFrame(df)
df[[ 'column_new_1', 'column_new_2','column_new_3']] = [np.nan, 'dogs',3] #thought this woCopyright © 2021 Codeinu
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