transitioning from r to Python - dplyr-like operations in pandas -

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i'm used using r. if had in r this:

     library(dplyr) df = df %>%  mutate(      xyz = sum(x+y+z),      weekcheck = ifelse( week > 3 & x*2 > 4, 'yes',week), # multi-step if statement                 xyz_plus_3 = xyz + 3        )  df = pd.dataframe({             'x': np.random.uniform(1., 168., 20),             'y': np.random.uniform(7., 334., 20),             'z': np.random.uniform(1.7, 20.7, 20),             'month': [5,6,7,8]*5,             'week': np.random.randint(1,4, 20)             })

i know theres assign can't figure out syntax chaining these operations together, particularly using ifelse sort of thing.

anyone attempt break down me? if don't know r think code common sense..

you'd need 2 assign calls , syntax not pretty:

(df.assign(xyz=df[['x', 'y', 'z']].sum(axis=1),             weekcheck=np.where((df['week']>3) & (df['x']*2>4), 'yes', df['week']))    .assign(xyz_plus_3=lambda d: d['xyz']+3))

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