from __future__ import absolute_import
# Copyright (c) 2010-2017 openpyxl
import pytest
from math import isnan
@pytest.mark.pandas_required
[docs]def test_dataframe():
import numpy
from pandas import Timestamp
from pandas.util import testing
from pandas.tslib import NaTType
from ..dataframe import dataframe_to_rows
df = testing.makeMixedDataFrame()
df.iloc[0] = numpy.nan
rows = tuple(dataframe_to_rows(df))
assert isnan(rows[1][1])
assert type(rows[1][-1]) == NaTType
assert rows[2:] == (
[1, 1.0, 1.0, 'foo2', Timestamp('2009-01-02 00:00:00')],
[2, 2.0, 0.0, 'foo3', Timestamp('2009-01-05 00:00:00')],
[3, 3.0, 1.0, 'foo4', Timestamp('2009-01-06 00:00:00')],
[4, 4.0, 0.0, 'foo5', Timestamp('2009-01-07 00:00:00')],
)