Pandas if else

Pandas if python

df['new column name'] = df['column name'].apply(lambda x: 'value if condition is met' if x condition else 'value if condition is not met')

Source: datatofish.com

If condition dataframe python

df.loc[df['age1'] - df['age2'] > 0, 'diff'] = df['age1'] - df['age2']

Source: stackoverflow.com

Pandas if else

df.loc[df['column name'] condition, 'new column name'] = 'value if condition is met'

Source: datatofish.com

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') | (df['First_name'] == 'Emma'), 'name_match'] = 'Match'  
df.loc[(df['First_name'] != 'Bill') & (df['First_name'] != 'Emma'), 'name_match'] = 'Mismatch'  

print (df)

Source: datatofish.com

Pandas if python

import pandas as pd

numbers = {'set_of_numbers': [1,2,3,4,5,6,7,8,9,10]}
df = pd.DataFrame(numbers,columns=['set_of_numbers'])

df['equal_or_lower_than_4?'] = df['set_of_numbers'].apply(lambda x: 'True' if x <= 4 else 'False')

print (df)

Source: datatofish.com

Pandas if python

import pandas as pd

numbers = {'set_of_numbers': [1,2,3,4,5,6,7,8,9,10,0,0]}
df = pd.DataFrame(numbers,columns=['set_of_numbers'])
print (df)

df.loc[df['set_of_numbers'] == 0, 'set_of_numbers'] = 999
df.loc[df['set_of_numbers'] == 5, 'set_of_numbers'] = 555

print (df)

Source: datatofish.com

Similar codes

1 vote335 views1 answer
Django link home page
Python Django
10 votes329 views5 answers
Ordered dictionary python
Python
1 vote322 views2 answers
Os path splitext
Python
0 vote300 views1 answer
How to read xlsx file from one directory above python
Python
0 vote278 views1 answer
Python webdriver disable logs
Python
42 votes282 views5 answers
How to print today's date in python
Python
12 votes269 views1 answer
Python regex cheat sheet
Python
0 vote289 views1 answer
Serializer phonenumber field json
Python
0 vote272 views1 answer
Plynomial regression implementation python
Python
5 votes273 views2 answers
If df[col].unique()==2
Python