pandas lambda if else
df['equal_or_lower_than_4?'] = df['set_of_numbers'].apply(lambda x: 'True' if x <= 4 else 'False')pandas lambda if else
df['equal_or_lower_than_4?'] = df['set_of_numbers'].apply(lambda x: 'True' if x <= 4 else 'False')make a condition statement on column pandas
df['color'] = ['red' if x == 'Z' else 'green' for x in df['Set']]make a condition statement on column pandas
df.loc[df['column name'] condition, 'new column name'] = 'value if condition is met'use apply with lambda pandas
df.apply(lambda x: func(x['col1'],x['col2']),axis=1)pandas if python
import pandas as pd
names = {'First_name': ['Jon','Bill','Maria','Emma']}
df = pd.DataFrame(names,columns=['First_name'])
df.loc[df['First_name'] == 'Bill', 'name_match'] = 'Match'
df.loc[df['First_name'] != 'Bill', 'name_match'] = 'Mismatch'
print (df)Copyright © 2021 Codeinu
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