Inzynierka/Lib/site-packages/pandas/tests/frame/methods/test_to_period.py
2023-06-02 12:51:02 +02:00

86 lines
2.6 KiB
Python

import numpy as np
import pytest
from pandas import (
DataFrame,
DatetimeIndex,
PeriodIndex,
Series,
date_range,
period_range,
)
import pandas._testing as tm
class TestToPeriod:
def test_to_period(self, frame_or_series):
K = 5
dr = date_range("1/1/2000", "1/1/2001", freq="D")
obj = DataFrame(
np.random.randn(len(dr), K), index=dr, columns=["A", "B", "C", "D", "E"]
)
obj["mix"] = "a"
obj = tm.get_obj(obj, frame_or_series)
pts = obj.to_period()
exp = obj.copy()
exp.index = period_range("1/1/2000", "1/1/2001")
tm.assert_equal(pts, exp)
pts = obj.to_period("M")
exp.index = exp.index.asfreq("M")
tm.assert_equal(pts, exp)
def test_to_period_without_freq(self, frame_or_series):
# GH#7606 without freq
idx = DatetimeIndex(["2011-01-01", "2011-01-02", "2011-01-03", "2011-01-04"])
exp_idx = PeriodIndex(
["2011-01-01", "2011-01-02", "2011-01-03", "2011-01-04"], freq="D"
)
obj = DataFrame(np.random.randn(4, 4), index=idx, columns=idx)
obj = tm.get_obj(obj, frame_or_series)
expected = obj.copy()
expected.index = exp_idx
tm.assert_equal(obj.to_period(), expected)
if frame_or_series is DataFrame:
expected = obj.copy()
expected.columns = exp_idx
tm.assert_frame_equal(obj.to_period(axis=1), expected)
def test_to_period_columns(self):
dr = date_range("1/1/2000", "1/1/2001")
df = DataFrame(np.random.randn(len(dr), 5), index=dr)
df["mix"] = "a"
df = df.T
pts = df.to_period(axis=1)
exp = df.copy()
exp.columns = period_range("1/1/2000", "1/1/2001")
tm.assert_frame_equal(pts, exp)
pts = df.to_period("M", axis=1)
tm.assert_index_equal(pts.columns, exp.columns.asfreq("M"))
def test_to_period_invalid_axis(self):
dr = date_range("1/1/2000", "1/1/2001")
df = DataFrame(np.random.randn(len(dr), 5), index=dr)
df["mix"] = "a"
msg = "No axis named 2 for object type DataFrame"
with pytest.raises(ValueError, match=msg):
df.to_period(axis=2)
def test_to_period_raises(self, index, frame_or_series):
# https://github.com/pandas-dev/pandas/issues/33327
obj = Series(index=index, dtype=object)
if frame_or_series is DataFrame:
obj = obj.to_frame()
if not isinstance(index, DatetimeIndex):
msg = f"unsupported Type {type(index).__name__}"
with pytest.raises(TypeError, match=msg):
obj.to_period()