118 lines
3.3 KiB
Python
118 lines
3.3 KiB
Python
from warnings import catch_warnings
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import pytest
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from pandas._libs.tslibs import Timestamp
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from pandas import (
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DataFrame,
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Series,
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_testing as tm,
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date_range,
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read_hdf,
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)
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from pandas.tests.io.pytables.common import (
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_maybe_remove,
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ensure_clean_path,
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ensure_clean_store,
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)
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pytestmark = pytest.mark.single_cpu
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def test_retain_index_attributes(setup_path):
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# GH 3499, losing frequency info on index recreation
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df = DataFrame(
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{"A": Series(range(3), index=date_range("2000-1-1", periods=3, freq="H"))}
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)
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with ensure_clean_store(setup_path) as store:
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_maybe_remove(store, "data")
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store.put("data", df, format="table")
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result = store.get("data")
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tm.assert_frame_equal(df, result)
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for attr in ["freq", "tz", "name"]:
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for idx in ["index", "columns"]:
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assert getattr(getattr(df, idx), attr, None) == getattr(
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getattr(result, idx), attr, None
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)
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# try to append a table with a different frequency
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with catch_warnings(record=True):
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df2 = DataFrame(
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{
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"A": Series(
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range(3), index=date_range("2002-1-1", periods=3, freq="D")
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)
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}
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)
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store.append("data", df2)
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assert store.get_storer("data").info["index"]["freq"] is None
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# this is ok
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_maybe_remove(store, "df2")
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df2 = DataFrame(
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{
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"A": Series(
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range(3),
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index=[
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Timestamp("20010101"),
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Timestamp("20010102"),
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Timestamp("20020101"),
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],
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)
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}
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)
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store.append("df2", df2)
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df3 = DataFrame(
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{"A": Series(range(3), index=date_range("2002-1-1", periods=3, freq="D"))}
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)
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store.append("df2", df3)
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@pytest.mark.filterwarnings(
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"ignore:\\nthe :pandas.io.pytables.AttributeConflictWarning"
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)
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def test_retain_index_attributes2(setup_path):
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with ensure_clean_path(setup_path) as path:
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with catch_warnings(record=True):
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df = DataFrame(
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{
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"A": Series(
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range(3), index=date_range("2000-1-1", periods=3, freq="H")
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)
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}
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)
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df.to_hdf(path, "data", mode="w", append=True)
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df2 = DataFrame(
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{
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"A": Series(
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range(3), index=date_range("2002-1-1", periods=3, freq="D")
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)
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}
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)
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df2.to_hdf(path, "data", append=True)
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idx = date_range("2000-1-1", periods=3, freq="H")
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idx.name = "foo"
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df = DataFrame({"A": Series(range(3), index=idx)})
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df.to_hdf(path, "data", mode="w", append=True)
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assert read_hdf(path, "data").index.name == "foo"
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with catch_warnings(record=True):
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idx2 = date_range("2001-1-1", periods=3, freq="H")
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idx2.name = "bar"
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df2 = DataFrame({"A": Series(range(3), index=idx2)})
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df2.to_hdf(path, "data", append=True)
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assert read_hdf(path, "data").index.name is None
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