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82 lines
2.3 KiB
Python
82 lines
2.3 KiB
Python
"""
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Tests for DataFrame cumulative operations
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See also
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--------
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tests.series.test_cumulative
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"""
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import numpy as np
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import pytest
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from pandas import (
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DataFrame,
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Series,
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)
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import pandas._testing as tm
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class TestDataFrameCumulativeOps:
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# ---------------------------------------------------------------------
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# Cumulative Operations - cumsum, cummax, ...
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def test_cumulative_ops_smoke(self):
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# it works
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df = DataFrame({"A": np.arange(20)}, index=np.arange(20))
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df.cummax()
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df.cummin()
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df.cumsum()
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dm = DataFrame(np.arange(20).reshape(4, 5), index=range(4), columns=range(5))
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# TODO(wesm): do something with this?
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dm.cumsum()
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def test_cumprod_smoke(self, datetime_frame):
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datetime_frame.iloc[5:10, 0] = np.nan
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datetime_frame.iloc[10:15, 1] = np.nan
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datetime_frame.iloc[15:, 2] = np.nan
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# ints
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df = datetime_frame.fillna(0).astype(int)
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df.cumprod(0)
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df.cumprod(1)
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# ints32
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df = datetime_frame.fillna(0).astype(np.int32)
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df.cumprod(0)
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df.cumprod(1)
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@pytest.mark.parametrize("method", ["cumsum", "cumprod", "cummin", "cummax"])
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def test_cumulative_ops_match_series_apply(self, datetime_frame, method):
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datetime_frame.iloc[5:10, 0] = np.nan
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datetime_frame.iloc[10:15, 1] = np.nan
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datetime_frame.iloc[15:, 2] = np.nan
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# axis = 0
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result = getattr(datetime_frame, method)()
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expected = datetime_frame.apply(getattr(Series, method))
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tm.assert_frame_equal(result, expected)
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# axis = 1
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result = getattr(datetime_frame, method)(axis=1)
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expected = datetime_frame.apply(getattr(Series, method), axis=1)
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tm.assert_frame_equal(result, expected)
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# fix issue TODO: GH ref?
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assert np.shape(result) == np.shape(datetime_frame)
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def test_cumsum_preserve_dtypes(self):
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# GH#19296 dont incorrectly upcast to object
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df = DataFrame({"A": [1, 2, 3], "B": [1, 2, 3.0], "C": [True, False, False]})
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result = df.cumsum()
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expected = DataFrame(
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{
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"A": Series([1, 3, 6], dtype=np.int64),
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"B": Series([1, 3, 6], dtype=np.float64),
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"C": df["C"].cumsum(),
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}
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)
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tm.assert_frame_equal(result, expected)
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