def test_nan_series_occurence():
from lux.core.series import LuxSeries
from math import nan
dvalues = {
1: " dummy ",
2: " dummy ",
3: nan,
4: " dummy ",
5: nan,
6: " dummy ",
7: " dummy ",
8: nan,
9: " dummy ",
10: nan,
11: " dummy ",
12: nan,
13: nan,
14: " dummy ",
15: " dummy ",
}
nan_series = LuxSeries(dvalues)
ldf = pd.DataFrame(nan_series, columns=["col"])
ldf._ipython_display_()
assert ldf.recommendation["Occurrence"][0].mark == "bar"
def f(*args, **kwargs):
s = LuxSeries(*args, **kwargs)
for attr in self._metadata: # propagate metadata
s.__dict__[attr] = getattr(self, attr, None)
return s
