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Fix: datetime64 arithmetics with a constant #1017

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Fix: datetime64 arithmetics with a constant #1017

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test(core): test for datetime arithmetics with a constant datetime64
JovanVeljanoski Oct 21, 2020
e3b8f61
chore: linting
JovanVeljanoski Oct 21, 2020
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42 changes: 35 additions & 7 deletions tests/datetime_test.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,11 @@
from common import *
import datetime

import numpy as np

import pytest

import vaex


def test_datetime_operations():
date = np.array([np.datetime64('2009-10-12T03:31:00'),
Expand Down Expand Up @@ -130,17 +135,40 @@ def test_create_datetime64_column_from_str():
assert expr.values.astype(np.datetime64).tolist() == expr.astype('datetime64').tolist()
assert expr.values.astype('datetime64[ns]').tolist() == expr.astype('datetime64[ns]').tolist()


def test_create_str_column_from_datetime64():
date = np.array([np.datetime64('2009-10-12T03:31:00'),
np.datetime64('2016-02-11T10:17:34'),
np.datetime64('2015-11-12T11:34:22'),
np.datetime64('2003-03-03T00:33:15'),
np.datetime64('2014-07-23T15:08:05'),
np.datetime64('2011-01-01T07:02:01')], dtype='<M8[ns]')
np.datetime64('2016-02-11T10:17:34'),
np.datetime64('2015-11-12T11:34:22'),
np.datetime64('2003-03-03T00:33:15'),
np.datetime64('2014-07-23T15:08:05'),
np.datetime64('2011-01-01T07:02:01')], dtype='<M8[ns]')

df = vaex.from_arrays(date=date)
pandas_df = df.to_pandas_df()

date_format = "%Y/%m/%d"

assert df.date.dt.strftime(date_format).values.tolist() == pandas_df.date.dt.strftime(date_format).values.tolist()
assert df.date.dt.strftime(date_format).values.tolist() == pandas_df.date.dt.strftime(date_format).values.tolist()


def test_datetime_arithmetics_w_constant():
x = [1, 2, 3, 1, 1]
date = [np.datetime64('2020-01-01'), np.datetime64('2020-01-02'), np.datetime64('2020-01-03'),
np.datetime64('2020-01-01'), np.datetime64('2020-01-01')]
df = vaex.from_arrays(x=x, date=date)
constant = np.datetime64('2020-01-01')

df['delta_1'] = df.date - constant
assert df.delta_1.tolist() == [datetime.timedelta(0),
datetime.timedelta(days=1),
datetime.timedelta(days=2),
datetime.timedelta(0),
datetime.timedelta(0)]

df['delta_2'] = np.datetime64('2020-01-01') - df.date
assert df.delta_2.tolist() == [datetime.timedelta(0),
datetime.timedelta(days=-1),
datetime.timedelta(days=-2),
datetime.timedelta(0),
datetime.timedelta(0)]