Installation

pip install -U datar# install with a backendpip install -U datar[pandas]# More backends support coming soon

Backends

Example usage

# with pandas backendfromdatarimportffromdatar.dplyrimportmutate,filter_,if_elsefromdatar.tibbleimporttibble# or# from datar.all import f, mutate, filter_, if_else, tibbledf=tibble(x=range(4),# or c[:4]  (from datar.base import c)y=['zero','one','two','three'])df>>mutate(z=f.x)"""# output        x        y       z  <int64> <object> <int64>0       0     zero       01       1      one       12       2      two       23       3    three       3"""df>>mutate(z=if_else(f.x>1,1,0))"""# output:        x        y       z  <int64> <object> <int64>0       0     zero       01       1      one       02       2      two       13       3    three       1"""df>>filter_(f.x>1)"""# output:        x        y  <int64> <object>0       2      two1       3    three"""df>>mutate(z=if_else(f.x>1,1,0))>>filter_(f.z==1)"""# output:        x        y       z  <int64> <object> <int64>0       2      two       11       3    three       1"""

# works with plotnine# example grabbed from https://github.com/has2k1/plydataimportnumpyfromdatarimportffromdatar.baseimportsin,pifromdatar.tibbleimporttibblefromdatar.dplyrimportmutate,if_elsefromplotnineimportggplot,aes,geom_line,theme_classicdf=tibble(x=numpy.linspace(0,2*pi,500))(df>>mutate(y=sin(f.x),sign=if_else(f.y>=0,"positive","negative"))>>ggplot(aes(x="x",y="y"))+theme_classic()+geom_line(aes(color="sign"),size=1.2))

# very easy to integrate with other libraries# for example: klibimportklibfrompipdaimportregister_verbfromdatarimportffromdatar.dataimportirisfromdatar.dplyrimportpulldist_plot=register_verb(func=klib.dist_plot)iris>>pull(f.Sepal_Length)>>dist_plot()

Testimonials