91 lines
2.9 KiB
Python
91 lines
2.9 KiB
Python
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import warnings
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import numpy as np
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import pytest
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import pandas as pd
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from pandas import DataFrame, Series
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import pandas._testing as tm
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m = 50
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n = 1000
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cols = ["jim", "joe", "jolie", "joline", "jolia"]
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vals = [
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np.random.randint(0, 10, n),
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np.random.choice(list("abcdefghij"), n),
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np.random.choice(pd.date_range("20141009", periods=10).tolist(), n),
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np.random.choice(list("ZYXWVUTSRQ"), n),
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np.random.randn(n),
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]
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vals = list(map(tuple, zip(*vals)))
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# bunch of keys for testing
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keys = [
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np.random.randint(0, 11, m),
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np.random.choice(list("abcdefghijk"), m),
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np.random.choice(pd.date_range("20141009", periods=11).tolist(), m),
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np.random.choice(list("ZYXWVUTSRQP"), m),
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]
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keys = list(map(tuple, zip(*keys)))
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keys += list(map(lambda t: t[:-1], vals[:: n // m]))
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# covers both unique index and non-unique index
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df = DataFrame(vals, columns=cols)
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a = pd.concat([df, df])
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b = df.drop_duplicates(subset=cols[:-1])
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@pytest.mark.filterwarnings("ignore::pandas.errors.PerformanceWarning")
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@pytest.mark.parametrize("lexsort_depth", list(range(5)))
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@pytest.mark.parametrize("key", keys)
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@pytest.mark.parametrize("frame", [a, b])
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def test_multiindex_get_loc(lexsort_depth, key, frame):
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# GH7724, GH2646
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with warnings.catch_warnings(record=True):
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# test indexing into a multi-index before & past the lexsort depth
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def validate(mi, df, key):
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mask = np.ones(len(df)).astype("bool")
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# test for all partials of this key
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for i, k in enumerate(key):
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mask &= df.iloc[:, i] == k
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if not mask.any():
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assert key[: i + 1] not in mi.index
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continue
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assert key[: i + 1] in mi.index
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right = df[mask].copy()
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if i + 1 != len(key): # partial key
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return_value = right.drop(cols[: i + 1], axis=1, inplace=True)
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assert return_value is None
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return_value = right.set_index(cols[i + 1 : -1], inplace=True)
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assert return_value is None
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tm.assert_frame_equal(mi.loc[key[: i + 1]], right)
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else: # full key
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return_value = right.set_index(cols[:-1], inplace=True)
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assert return_value is None
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if len(right) == 1: # single hit
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right = Series(
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right["jolia"].values, name=right.index[0], index=["jolia"]
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)
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tm.assert_series_equal(mi.loc[key[: i + 1]], right)
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else: # multi hit
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tm.assert_frame_equal(mi.loc[key[: i + 1]], right)
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if lexsort_depth == 0:
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df = frame.copy()
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else:
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df = frame.sort_values(by=cols[:lexsort_depth])
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mi = df.set_index(cols[:-1])
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assert not mi.index.lexsort_depth < lexsort_depth
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validate(mi, df, key)
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