create new columns pandas from another column

Stupid Salmon answered on January 7, 2021 Popularity 10/10 Helpfulness 3/10

answer create new columns pandas from another column

related pandas create column from another column

related pandas create new column based on other columns

create new columns pandas from another column

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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)

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Source: stackoverflow.com

Tags: pandas python

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Contributed on Jan 07 2021

Stupid Salmon

0 Answers Avg Quality 2/10

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pandas create column from another column

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# Creates a new column 'blue_yn' based on the existing 'color' column
# If the 'color' column value is 'blue' then the new column value is 'YES'
df['blue_yn'] = np.where(df['color'] == 'blue', 'YES', 'NO')
# Can also do this using .apply and a lambda function
df['blue_yn']= df['color'].apply(lambda x: 'YES' if (x == 'blue') else 'NO')

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Source: Grepper

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Contributed on Aug 15 2021

Trained Tuna

0 Answers Avg Quality 2/10

pandas create new column based on other columns

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import pandas as pd

# Create a sample DataFrame
data = {'A': [1, 2, 3],
        'B': [4, 5, 6]}
df = pd.DataFrame(data)

# Create a new column 'C' by summing values from columns 'A' and 'B'
df['C'] = df['A'] + df['B']

# Print the updated DataFrame
print(df)

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Contributed on Sep 12 2023

YOU.com

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create new columns pandas from another column

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