python create new pandas dataframe with specific columns
# Basic syntax:
new_dataframe = old_dataframe.filter(['Columns','you','want'], axis=1)python create new pandas dataframe with specific columns
# Basic syntax:
new_dataframe = old_dataframe.filter(['Columns','you','want'], axis=1)create new columns pandas from another column
def label_race (row):
if row['eri_hispanic'] == 1 :
return 'Hispanic'
if row['eri_afr_amer'] + row['eri_asian'] + row['eri_hawaiian'] + row['eri_nat_amer'] + row['eri_white'] > 1 :
return 'Two Or More'
if row['eri_nat_amer'] == 1 :
return 'A/I AK Native'
if row['eri_asian'] == 1:
return 'Asian'
if row['eri_afr_amer'] == 1:
return 'Black/AA'
if row['eri_hawaiian'] == 1:
return 'Haw/Pac Isl.'
if row['eri_white'] == 1:
return 'White'
return 'Other'
df.apply(lambda row: label_race(row), axis=1)Copyright © 2021 Codeinu
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