how to slicing dataframe using two 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')]how to slicing dataframe using two 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')]or condition in pandas
df1 = df[(df.a != -1) & (df.b != -1)]or condition in pandas
df2 = df[(df.a != -1) | (df.b != -1)]if condition dataframe python
df.loc[df['age1'] - df['age2'] > 0, 'diff'] = df['age1'] - df['age2']Copyright © 2021 Codeinu
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