A PyQT GUI application for converting InfoLease report outputs into Excel files. Handles parsing and summarizing. Learns where files are meant to be store and compiles monthly and yearly summaries.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
InfoLeaseExtract/venv/Lib/site-packages/pandas/tests/indexes/datetimes/test_npfuncs.py

13 lines
384 B

import numpy as np
from pandas import date_range
import pandas._testing as tm
class TestSplit:
def test_split_non_utc(self):
# GH#14042
indices = date_range("2016-01-01 00:00:00+0200", freq="S", periods=10)
result = np.split(indices, indices_or_sections=[])[0]
expected = indices._with_freq(None)
tm.assert_index_equal(result, expected)