nyggus

import timeit
import pprint
import rounder # requires installation from PyPi


def compare(
    __snippet1,
    __snippet2,
    *args,
    number=10_000_000,

nyggus

import timeit
import pprint
import rounder # requires installation from PyPi


def compare(
    __snippet1,
    __snippet2,
    *args,
    number=10_000_000,

nyggus

>>> print(
...     iris >>
...     group_by('Species') >>
...     head(n=5)
... )
groups: ['Species']
    Sepal.Length  Sepal.Width  Petal.Length  Petal.Width     Species
0            5.1          3.5           1.4          0.2      setosa
1            4.9          3.0           1.4          0.2      setosa
2            4.7          3.2           1.3          0.2      setosa

nyggus

print(iris >>  group_by('Species') >>  head(n=5))

nyggus

>>> iris = data('iris')
>>> iris.head()
   Sepal.Length  Sepal.Width  Petal.Length  Petal.Width Species
1           5.1          3.5           1.4          0.2  setosa
2           4.9          3.0           1.4          0.2  setosa
3           4.7          3.2           1.3          0.2  setosa
4           4.6          3.1           1.5          0.2  setosa
5           5.0          3.6           1.4          0.2  setosa

nyggus

>>> from statistics import mean, stdev
>>> from pydataset import data
>>> from plydata import define, group_by, head, query, select, summarize