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)]
make a condition statement on column pandas
df.loc[df['column name'] condition, 'new column name'] = 'value if condition is met'
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