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import numpy as np
import pytest
from pandas import (
DataFrame,
Index,
MultiIndex,
Series,
date_range,
)
import pandas._testing as tm
class TestTZConvert:
def test_tz_convert(self, frame_or_series):
rng = date_range("1/1/2011", periods=200, freq="D", tz="US/Eastern")
obj = DataFrame({"a": 1}, index=rng)
obj = tm.get_obj(obj, frame_or_series)
result = obj.tz_convert("Europe/Berlin")
expected = DataFrame({"a": 1}, rng.tz_convert("Europe/Berlin"))
expected = tm.get_obj(expected, frame_or_series)
assert result.index.tz.zone == "Europe/Berlin"
tm.assert_equal(result, expected)
def test_tz_convert_axis1(self):
rng = date_range("1/1/2011", periods=200, freq="D", tz="US/Eastern")
obj = DataFrame({"a": 1}, index=rng)
obj = obj.T
result = obj.tz_convert("Europe/Berlin", axis=1)
assert result.columns.tz.zone == "Europe/Berlin"
expected = DataFrame({"a": 1}, rng.tz_convert("Europe/Berlin"))
tm.assert_equal(result, expected.T)
def test_tz_convert_naive(self, frame_or_series):
# can't convert tz-naive
rng = date_range("1/1/2011", periods=200, freq="D")
ts = Series(1, index=rng)
ts = frame_or_series(ts)
with pytest.raises(TypeError, match="Cannot convert tz-naive"):
ts.tz_convert("US/Eastern")
@pytest.mark.parametrize("fn", ["tz_localize", "tz_convert"])
def test_tz_convert_and_localize(self, fn):
l0 = date_range("20140701", periods=5, freq="D")
l1 = date_range("20140701", periods=5, freq="D")
int_idx = Index(range(5))
if fn == "tz_convert":
l0 = l0.tz_localize("UTC")
l1 = l1.tz_localize("UTC")
for idx in [l0, l1]:
l0_expected = getattr(idx, fn)("US/Pacific")
l1_expected = getattr(idx, fn)("US/Pacific")
df1 = DataFrame(np.ones(5), index=l0)
df1 = getattr(df1, fn)("US/Pacific")
tm.assert_index_equal(df1.index, l0_expected)
# MultiIndex
# GH7846
df2 = DataFrame(np.ones(5), MultiIndex.from_arrays([l0, l1]))
# freq is not preserved in MultiIndex construction
l1_expected = l1_expected._with_freq(None)
l0_expected = l0_expected._with_freq(None)
l1 = l1._with_freq(None)
l0 = l0._with_freq(None)
df3 = getattr(df2, fn)("US/Pacific", level=0)
assert not df3.index.levels[0].equals(l0)
tm.assert_index_equal(df3.index.levels[0], l0_expected)
tm.assert_index_equal(df3.index.levels[1], l1)
assert not df3.index.levels[1].equals(l1_expected)
df3 = getattr(df2, fn)("US/Pacific", level=1)
tm.assert_index_equal(df3.index.levels[0], l0)
assert not df3.index.levels[0].equals(l0_expected)
tm.assert_index_equal(df3.index.levels[1], l1_expected)
assert not df3.index.levels[1].equals(l1)
df4 = DataFrame(np.ones(5), MultiIndex.from_arrays([int_idx, l0]))
# TODO: untested
getattr(df4, fn)("US/Pacific", level=1)
tm.assert_index_equal(df3.index.levels[0], l0)
assert not df3.index.levels[0].equals(l0_expected)
tm.assert_index_equal(df3.index.levels[1], l1_expected)
assert not df3.index.levels[1].equals(l1)
# Bad Inputs
# Not DatetimeIndex / PeriodIndex
with pytest.raises(TypeError, match="DatetimeIndex"):
df = DataFrame(index=int_idx)
getattr(df, fn)("US/Pacific")
# Not DatetimeIndex / PeriodIndex
with pytest.raises(TypeError, match="DatetimeIndex"):
df = DataFrame(np.ones(5), MultiIndex.from_arrays([int_idx, l0]))
getattr(df, fn)("US/Pacific", level=0)
# Invalid level
with pytest.raises(ValueError, match="not valid"):
df = DataFrame(index=l0)
getattr(df, fn)("US/Pacific", level=1)
@pytest.mark.parametrize("copy", [True, False])
def test_tz_convert_copy_inplace_mutate(self, copy, frame_or_series):
# GH#6326
obj = frame_or_series(
np.arange(0, 5),
index=date_range("20131027", periods=5, freq="h", tz="Europe/Berlin"),
)
orig = obj.copy()
result = obj.tz_convert("UTC", copy=copy)
expected = frame_or_series(np.arange(0, 5), index=obj.index.tz_convert("UTC"))
tm.assert_equal(result, expected)
tm.assert_equal(obj, orig)
assert result.index is not obj.index
assert result is not obj
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