select rows with multiple conditions pandas query
df.loc[(df['Salary_in_1000']>=100) & (df['Age']< 60) & (df['FT_Team'].str.startswith('S')),['Name','FT_Team']]select rows with multiple conditions pandas query
df.loc[(df['Salary_in_1000']>=100) & (df['Age']< 60) & (df['FT_Team'].str.startswith('S')),['Name','FT_Team']]python drop rows with two conditions
df_new = [df[(df['col_1'] == 1.0) & (df['col_2'] == 0.0)].index]
df.drop(df_new,axis = 0 ,inplace= True)Copyright © 2021 Codeinu
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