Answers for "pd dataframe condition multiple condition"

5

filter dataframe multiple conditions

# when you wrap conditions in parantheses, you give order
# you do those in brackets first before 'and'
# AND
movies[(movies.duration >= 200) & (movies.genre == 'Drama')]
Posted by: Guest on March-21-2020
1

python multiple conditions in dataframe column values

df.loc[(df['Salary_in_1000']>=100) & (df['Age']< 60) & (df['FT_Team'].str.startswith('S')),['Name','FT_Team']]
Posted by: Guest on August-25-2021
0

mutiple condition in dataframe

df[(df['Salary_in_1000']>=100) & (df['Age']<60) & df['FT_Team'].str.startswith('S')][['Name','Age','Salary_in_1000']]
Posted by: Guest on October-03-2021

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