Inzynierka/Lib/site-packages/pandas/tests/io/pytables/test_retain_attributes.py

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2023-06-02 12:51:02 +02:00
import pytest
from pandas._libs.tslibs import Timestamp
from pandas import (
DataFrame,
Series,
_testing as tm,
date_range,
errors,
read_hdf,
)
from pandas.tests.io.pytables.common import (
_maybe_remove,
ensure_clean_store,
)
pytestmark = pytest.mark.single_cpu
def test_retain_index_attributes(setup_path):
# GH 3499, losing frequency info on index recreation
df = DataFrame(
{"A": Series(range(3), index=date_range("2000-1-1", periods=3, freq="H"))}
)
with ensure_clean_store(setup_path) as store:
_maybe_remove(store, "data")
store.put("data", df, format="table")
result = store.get("data")
tm.assert_frame_equal(df, result)
for attr in ["freq", "tz", "name"]:
for idx in ["index", "columns"]:
assert getattr(getattr(df, idx), attr, None) == getattr(
getattr(result, idx), attr, None
)
# try to append a table with a different frequency
with tm.assert_produces_warning(errors.AttributeConflictWarning):
df2 = DataFrame(
{
"A": Series(
range(3), index=date_range("2002-1-1", periods=3, freq="D")
)
}
)
store.append("data", df2)
assert store.get_storer("data").info["index"]["freq"] is None
# this is ok
_maybe_remove(store, "df2")
df2 = DataFrame(
{
"A": Series(
range(3),
index=[
Timestamp("20010101"),
Timestamp("20010102"),
Timestamp("20020101"),
],
)
}
)
store.append("df2", df2)
df3 = DataFrame(
{"A": Series(range(3), index=date_range("2002-1-1", periods=3, freq="D"))}
)
store.append("df2", df3)
def test_retain_index_attributes2(tmp_path, setup_path):
path = tmp_path / setup_path
with tm.assert_produces_warning(errors.AttributeConflictWarning):
df = DataFrame(
{"A": Series(range(3), index=date_range("2000-1-1", periods=3, freq="H"))}
)
df.to_hdf(path, "data", mode="w", append=True)
df2 = DataFrame(
{"A": Series(range(3), index=date_range("2002-1-1", periods=3, freq="D"))}
)
df2.to_hdf(path, "data", append=True)
idx = date_range("2000-1-1", periods=3, freq="H")
idx.name = "foo"
df = DataFrame({"A": Series(range(3), index=idx)})
df.to_hdf(path, "data", mode="w", append=True)
assert read_hdf(path, "data").index.name == "foo"
with tm.assert_produces_warning(errors.AttributeConflictWarning):
idx2 = date_range("2001-1-1", periods=3, freq="H")
idx2.name = "bar"
df2 = DataFrame({"A": Series(range(3), index=idx2)})
df2.to_hdf(path, "data", append=True)
assert read_hdf(path, "data").index.name is None