make a condition statement on column pandas
df['color'] = ['red' if x == 'Z' else 'green' for x in df['Set']]
make a condition statement on column pandas
df['color'] = ['red' if x == 'Z' else 'green' for x in df['Set']]
compute value based on condition of existing column dataframe
# create a list of our conditions conditions = [ (df['likes_count'] <= 2), (df['likes_count'] > 2) & (df['likes_count'] <= 9), (df['likes_count'] > 9) & (df['likes_count'] <= 15), (df['likes_count'] > 15) ] # create a list of the values we want to assign for each condition values = ['tier_4', 'tier_3', 'tier_2', 'tier_1'] # create a new column and use np.select to assign values to it using our lists as arguments df['tier'] = np.select(conditions, values) # display updated DataFrame df.head()
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