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['color'] = ['red' if x == 'Z' else 'green' for x in df['Set']]or condition in pandas
df1 = df[(df.a != -1) & (df.b != -1)]or condition in pandas
df2 = df[(df.a != -1) | (df.b != -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)pandas where
# replaces values with other where condition is False
DataFrame.where(cond, other=nan, inplace=False, axis=None, level=None, errors='raise', try_cast=False)
import pandas as pd
df = pd.DataFrame({'values':[1,2,3,4]})
df.where(df['values'] % 2 == 0, -1) # output : [-1, 2, -3, 4]if condition dataframe python
df.loc[df['age1'] - df['age2'] > 0, 'diff'] = df['age1'] - df['age2']Copyright © 2021 Codeinu
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