pandas dataframe replace inf
df.replace([np.inf, -np.inf], np.nan)pandas dataframe replace inf
df.replace([np.inf, -np.inf], np.nan)pandas isin
# Filter dataframe by multiple values in a column or multiple columns
# SQL equivalent: WHERE columnA IN ('val1', 'val2') AND columnB > 70
df[ (df.columnA.isin(['val1', 'val2'])) & (df['columnB'] > 70) ]Copyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
