pandas

In [4]: df = pd.DataFrame({'a': [1, 2, 3]})

In [5]: df.take(1)
...

~/scipy/pandas/pandas/core/indexes/range.py in take(self, indices, axis, allow_fill, fill_value, **kwargs)
    433     ) -> Int64Index:
    434         with rewrite_exception("Int64Index", type(self).__name__):
--> 435             return self._int64index.take(
    436                 indices,
    437

@lhoestq

Hi
Wikiann dataset needs to have "spans" columns, which is necessary to be able to use this dataset, but this column is missing from huggingface datasets, could you please have a look? thank you @lhoestq

What happened:

If a negative value for drop_axis is passed into either map_blocks or map_overlap a non-informative exception is raised.

What you expected to happen:

I would expect this would work as in NumPy for negative axis arguments where axis becomes axis = axis % array.ndim. If it is not intended to work, then it should raise a user-friendly AxisError. This came up

For feature engineering tasks, I'd like to be able to determine whether a datetime is the beginning or end of a year, like I can in pandas.

import pandas as pd

s = pd.Series(["2021-02-27", "2020-03-31"], dtype="datetime64[ms]")
s.dt.is_year_end
0    False
1    False
dtype: bool

import pandas as pd

s = pd.Series(["2021-01-01", "2020-04-01"], dtype="datet

I've been experimenting with the crypto aspects of the library, and I do see that there are the endpoints for daily, weekly, and monthly, however the endpoint for intraday is not available using the "function=CRYPTO_INTRADAY" from the Cryptocurrencies section of the API.

I would assume the format would be:
`(data, meta) = cc.get_crypto_intraday(symbol = "", interval = "", market = "", outputs

What's wrong?

Jul	AUG	Sep
	08
2020	2021	2022

pandas

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