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In [1]:

from datar import f
from datar.dplyr import mutate, filter, if_else
from datar.tibble import tibble
# or
# from datar.all import f, mutate, filter, if_else, tibble

from datar import f from datar.dplyr import mutate, filter, if_else from datar.tibble import tibble # or # from datar.all import f, mutate, filter, if_else, tibble

[2022-12-02 14:18:09][datar][WARNING] Builtin name "filter" has been masked by datar.

In [2]:

df = tibble(
    x=range(4),
    y=['zero', 'one', 'two', 'three']
)
print(df >> mutate(z=f.x))

df = tibble( x=range(4), y=['zero', 'one', 'two', 'three'] ) print(df >> mutate(z=f.x))

        x        y       z
  <int64> <object> <int64>
0       0     zero       0
1       1      one       1
2       2      two       2
3       3    three       3

In [3]:

print(df >> mutate(z=if_else(f.x>1, 1, 0)))

print(df >> mutate(z=if_else(f.x>1, 1, 0)))

        x        y         z
  <int64> <object> <float64>
0       0     zero       0.0
1       1      one       0.0
2       2      two       1.0
3       3    three       1.0

In [4]:

print(df >> filter(f.x>1))

print(df >> filter(f.x>1))

        x        y
  <int64> <object>
2       2      two
3       3    three

In [5]:

print(df >> mutate(z=if_else(f.x>1, 1, 0)) >> filter(f.z==1))

print(df >> mutate(z=if_else(f.x>1, 1, 0)) >> filter(f.z==1))

        x        y         z
  <int64> <object> <float64>
2       2      two       1.0
3       3    three       1.0

In [8]:

# works with plotnine
import numpy
from datar.base import sin, pi
from datar.tibble import tibble
from datar.dplyr import mutate, if_else
from plotnine import ggplot, aes, geom_line, theme_classic

df = 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)
)

# works with plotnine import numpy from datar.base import sin, pi from datar.tibble import tibble from datar.dplyr import mutate, if_else from plotnine import ggplot, aes, geom_line, theme_classic df = 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) )

Out[8]:

<ggplot: (8749008935172)>

In [9]:

# very easy to integrate with other libraries
# for example: klib
import klib
from pipda import register_verb
from datar import f
from datar.data import iris
from datar.dplyr import pull

dist_plot = register_verb(func=klib.dist_plot)
iris >> pull(f.Sepal_Length) >> dist_plot()

# very easy to integrate with other libraries # for example: klib import klib from pipda import register_verb from datar import f from datar.data import iris from datar.dplyr import pull dist_plot = register_verb(func=klib.dist_plot) iris >> pull(f.Sepal_Length) >> dist_plot()

Out[9]:

<AxesSubplot:xlabel='Sepal_Length', ylabel='Density'>

In [ ]: