Answers for "if pandas"

1

python check if is pandas dataframe

import pandas as pd
isinstance(df, pd.DataFrame)
Posted by: Guest on November-12-2020
6

pandas lambda if else

df['equal_or_lower_than_4?'] = df['set_of_numbers'].apply(lambda x: 'True' if x <= 4 else 'False')
Posted by: Guest on November-17-2020
5

make a condition statement on column pandas

df['color'] = ['red' if x == 'Z' else 'green' for x in df['Set']]
Posted by: Guest on May-12-2020
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') | (df['First_name'] == 'Emma'), 'name_match'] = 'Match'  
df.loc[(df['First_name'] != 'Bill') & (df['First_name'] != 'Emma'), 'name_match'] = 'Mismatch'  

print (df)
Posted by: Guest on February-05-2021
2

if condition dataframe python

df.loc[df['age1'] - df['age2'] > 0, 'diff'] = df['age1'] - df['age2']
Posted by: Guest on May-20-2020
0

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)
Posted by: Guest on February-05-2021

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