projektAI/venv/Lib/site-packages/pandas/tests/groupby/test_index_as_string.py
2021-06-06 22:13:05 +02:00

83 lines
2.0 KiB
Python

import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
@pytest.fixture(params=[["inner"], ["inner", "outer"]])
def frame(request):
levels = request.param
df = pd.DataFrame(
{
"outer": ["a", "a", "a", "b", "b", "b"],
"inner": [1, 2, 3, 1, 2, 3],
"A": np.arange(6),
"B": ["one", "one", "two", "two", "one", "one"],
}
)
if levels:
df = df.set_index(levels)
return df
@pytest.fixture()
def series():
df = pd.DataFrame(
{
"outer": ["a", "a", "a", "b", "b", "b"],
"inner": [1, 2, 3, 1, 2, 3],
"A": np.arange(6),
"B": ["one", "one", "two", "two", "one", "one"],
}
)
s = df.set_index(["outer", "inner", "B"])["A"]
return s
@pytest.mark.parametrize(
"key_strs,groupers",
[
("inner", pd.Grouper(level="inner")), # Index name
(["inner"], [pd.Grouper(level="inner")]), # List of index name
(["B", "inner"], ["B", pd.Grouper(level="inner")]), # Column and index
(["inner", "B"], [pd.Grouper(level="inner"), "B"]), # Index and column
],
)
def test_grouper_index_level_as_string(frame, key_strs, groupers):
result = frame.groupby(key_strs).mean()
expected = frame.groupby(groupers).mean()
tm.assert_frame_equal(result, expected)
@pytest.mark.parametrize(
"levels",
[
"inner",
"outer",
"B",
["inner"],
["outer"],
["B"],
["inner", "outer"],
["outer", "inner"],
["inner", "outer", "B"],
["B", "outer", "inner"],
],
)
def test_grouper_index_level_as_string_series(series, levels):
# Compute expected result
if isinstance(levels, list):
groupers = [pd.Grouper(level=lv) for lv in levels]
else:
groupers = pd.Grouper(level=levels)
expected = series.groupby(groupers).mean()
# Compute and check result
result = series.groupby(levels).mean()
tm.assert_series_equal(result, expected)