Answers for "pandas condition"

make a condition statement on column pandas

df['color'] = ['red' if x == 'Z' else 'green' for x in df['Set']]

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']

make a condition statement on column pandas

df.loc[df['column name'] condition, 'new column name'] = 'value if condition is met'

conditions in pandas dataframe

df.loc[df[‘column name’] condition, ‘new column name’] = ‘value if condition is met’