Select by loc / rownames

R:

no rownames in tibbles

pandas:

mtcars.loc[[6]]

plydata:

(mtcars >>dp.call('.loc'))[[6]]

dpylython:

dp.DplyFrame(mtcars) >> X._.loc[[6]]

dfply:

@dfpipe
def loc(df, a=None, b=None, c=None):
    print(type(a))
    if isinstance(a, (tuple, list)):
        indices = np.array(a)
    elif isinstance(a, pd.Series):
        indices = a.values
    elif isinstance(a, int) or isinstance(b, int) or isinstance(c, int):
        indices = slice(a,b,c)
    return df.loc[indices, :]

mtcars >> loc([6,])

@dfpipe makes defining verbs easy. Converting function calls to slices is still a bit of work though.

dppd::

dp(mtcars).loc[6,].pd()