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| import numpy as np
| import pytest
|
| from pandas import (
| DataFrame,
| Index,
| Series,
| )
| import pandas._testing as tm
|
|
| @pytest.mark.parametrize(
| "in_vals, out_vals",
| [
| # Basics: strictly increasing (T), strictly decreasing (F),
| # abs val increasing (F), non-strictly increasing (T)
| ([1, 2, 5, 3, 2, 0, 4, 5, -6, 1, 1], [True, False, False, True]),
| # Test with inf vals
| (
| [1, 2.1, np.inf, 3, 2, np.inf, -np.inf, 5, 11, 1, -np.inf],
| [True, False, True, False],
| ),
| # Test with nan vals; should always be False
| (
| [1, 2, np.nan, 3, 2, np.nan, np.nan, 5, -np.inf, 1, np.nan],
| [False, False, False, False],
| ),
| ],
| )
| def test_is_monotonic_increasing(in_vals, out_vals):
| # GH 17015
| source_dict = {
| "A": ["1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11"],
| "B": ["a", "a", "a", "b", "b", "b", "c", "c", "c", "d", "d"],
| "C": in_vals,
| }
| df = DataFrame(source_dict)
| result = df.groupby("B").C.is_monotonic_increasing
| index = Index(list("abcd"), name="B")
| expected = Series(index=index, data=out_vals, name="C")
| tm.assert_series_equal(result, expected)
|
| # Also check result equal to manually taking x.is_monotonic_increasing.
| expected = df.groupby(["B"]).C.apply(lambda x: x.is_monotonic_increasing)
| tm.assert_series_equal(result, expected)
|
|
| @pytest.mark.parametrize(
| "in_vals, out_vals",
| [
| # Basics: strictly decreasing (T), strictly increasing (F),
| # abs val decreasing (F), non-strictly increasing (T)
| ([10, 9, 7, 3, 4, 5, -3, 2, 0, 1, 1], [True, False, False, True]),
| # Test with inf vals
| (
| [np.inf, 1, -np.inf, np.inf, 2, -3, -np.inf, 5, -3, -np.inf, -np.inf],
| [True, True, False, True],
| ),
| # Test with nan vals; should always be False
| (
| [1, 2, np.nan, 3, 2, np.nan, np.nan, 5, -np.inf, 1, np.nan],
| [False, False, False, False],
| ),
| ],
| )
| def test_is_monotonic_decreasing(in_vals, out_vals):
| # GH 17015
| source_dict = {
| "A": ["1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11"],
| "B": ["a", "a", "a", "b", "b", "b", "c", "c", "c", "d", "d"],
| "C": in_vals,
| }
|
| df = DataFrame(source_dict)
| result = df.groupby("B").C.is_monotonic_decreasing
| index = Index(list("abcd"), name="B")
| expected = Series(index=index, data=out_vals, name="C")
| tm.assert_series_equal(result, expected)
|
|
