Answers for "pandas if condition"

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
6

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')
Posted by: Guest on January-21-2021
6

or condition in pandas

df1 = df[(df.a != -1) & (df.b != -1)]
Posted by: Guest on June-03-2020
4

or condition in pandas

df2 = df[(df.a != -1) | (df.b != -1)]
Posted by: Guest on June-03-2020
1

conditions in pandas dataframe

from pandas import DataFrame
  
names = {'First_name': ['Hanah', 'Ria', 'Jay', 'Bholu', 'Sachin']}
df = DataFrame(names, columns =['First_name'])
  
df['Status'] = df['First_name'].apply(lambda x: 'Found' if x == 'Ria' else 'Not Found')
  
print (df)
Posted by: Guest on March-31-2021
2

if condition dataframe python

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

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