94 lines
3.2 KiB
Python
94 lines
3.2 KiB
Python
|
import pytest
|
||
|
|
|
||
|
|
import pandas as pd
|
||
|
|
from pandas import (
|
||
|
|
Series,
|
||
|
|
TimedeltaIndex,
|
||
|
|
)
|
||
|
|
|
||
|
|
|
||
|
|
class TestTimedeltaIndexRendering:
|
||
|
|
@pytest.mark.parametrize("method", ["__repr__", "__str__"])
|
||
|
|
def test_representation(self, method):
|
||
|
|
idx1 = TimedeltaIndex([], freq="D")
|
||
|
|
idx2 = TimedeltaIndex(["1 days"], freq="D")
|
||
|
|
idx3 = TimedeltaIndex(["1 days", "2 days"], freq="D")
|
||
|
|
idx4 = TimedeltaIndex(["1 days", "2 days", "3 days"], freq="D")
|
||
|
|
idx5 = TimedeltaIndex(["1 days 00:00:01", "2 days", "3 days"])
|
||
|
|
|
||
|
|
exp1 = "TimedeltaIndex([], dtype='timedelta64[ns]', freq='D')"
|
||
|
|
|
||
|
|
exp2 = "TimedeltaIndex(['1 days'], dtype='timedelta64[ns]', freq='D')"
|
||
|
|
|
||
|
|
exp3 = "TimedeltaIndex(['1 days', '2 days'], dtype='timedelta64[ns]', freq='D')"
|
||
|
|
|
||
|
|
exp4 = (
|
||
|
|
"TimedeltaIndex(['1 days', '2 days', '3 days'], "
|
||
|
|
"dtype='timedelta64[ns]', freq='D')"
|
||
|
|
)
|
||
|
|
|
||
|
|
exp5 = (
|
||
|
|
"TimedeltaIndex(['1 days 00:00:01', '2 days 00:00:00', "
|
||
|
|
"'3 days 00:00:00'], dtype='timedelta64[ns]', freq=None)"
|
||
|
|
)
|
||
|
|
|
||
|
|
with pd.option_context("display.width", 300):
|
||
|
|
for idx, expected in zip(
|
||
|
|
[idx1, idx2, idx3, idx4, idx5], [exp1, exp2, exp3, exp4, exp5]
|
||
|
|
):
|
||
|
|
result = getattr(idx, method)()
|
||
|
|
assert result == expected
|
||
|
|
|
||
|
|
def test_representation_to_series(self):
|
||
|
|
idx1 = TimedeltaIndex([], freq="D")
|
||
|
|
idx2 = TimedeltaIndex(["1 days"], freq="D")
|
||
|
|
idx3 = TimedeltaIndex(["1 days", "2 days"], freq="D")
|
||
|
|
idx4 = TimedeltaIndex(["1 days", "2 days", "3 days"], freq="D")
|
||
|
|
idx5 = TimedeltaIndex(["1 days 00:00:01", "2 days", "3 days"])
|
||
|
|
|
||
|
|
exp1 = """Series([], dtype: timedelta64[ns])"""
|
||
|
|
|
||
|
|
exp2 = "0 1 days\ndtype: timedelta64[ns]"
|
||
|
|
|
||
|
|
exp3 = "0 1 days\n1 2 days\ndtype: timedelta64[ns]"
|
||
|
|
|
||
|
|
exp4 = "0 1 days\n1 2 days\n2 3 days\ndtype: timedelta64[ns]"
|
||
|
|
|
||
|
|
exp5 = (
|
||
|
|
"0 1 days 00:00:01\n"
|
||
|
|
"1 2 days 00:00:00\n"
|
||
|
|
"2 3 days 00:00:00\n"
|
||
|
|
"dtype: timedelta64[ns]"
|
||
|
|
)
|
||
|
|
|
||
|
|
with pd.option_context("display.width", 300):
|
||
|
|
for idx, expected in zip(
|
||
|
|
[idx1, idx2, idx3, idx4, idx5], [exp1, exp2, exp3, exp4, exp5]
|
||
|
|
):
|
||
|
|
result = repr(Series(idx))
|
||
|
|
assert result == expected
|
||
|
|
|
||
|
|
def test_summary(self):
|
||
|
|
# GH#9116
|
||
|
|
idx1 = TimedeltaIndex([], freq="D")
|
||
|
|
idx2 = TimedeltaIndex(["1 days"], freq="D")
|
||
|
|
idx3 = TimedeltaIndex(["1 days", "2 days"], freq="D")
|
||
|
|
idx4 = TimedeltaIndex(["1 days", "2 days", "3 days"], freq="D")
|
||
|
|
idx5 = TimedeltaIndex(["1 days 00:00:01", "2 days", "3 days"])
|
||
|
|
|
||
|
|
exp1 = "TimedeltaIndex: 0 entries\nFreq: D"
|
||
|
|
|
||
|
|
exp2 = "TimedeltaIndex: 1 entries, 1 days to 1 days\nFreq: D"
|
||
|
|
|
||
|
|
exp3 = "TimedeltaIndex: 2 entries, 1 days to 2 days\nFreq: D"
|
||
|
|
|
||
|
|
exp4 = "TimedeltaIndex: 3 entries, 1 days to 3 days\nFreq: D"
|
||
|
|
|
||
|
|
exp5 = "TimedeltaIndex: 3 entries, 1 days 00:00:01 to 3 days 00:00:00"
|
||
|
|
|
||
|
|
for idx, expected in zip(
|
||
|
|
[idx1, idx2, idx3, idx4, idx5], [exp1, exp2, exp3, exp4, exp5]
|
||
|
|
):
|
||
|
|
result = idx._summary()
|
||
|
|
assert result == expected
|