pandas
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We have tmpdir
and tmpfile
utility context managers
https://github.com/dask/dask/blob/b46d8710ea648dbc822e104b0991f8a29bf5d125/dask/utils.py#L124-L125
https://github.com/dask/dask/blob/b46d8710ea648dbc822e104b0991f8a29bf5d125/dask/utils.py#L106-L107
which I suspect were originally introduced back when Dask still supported Python 2.7.
Today, since our minimum supported Python versio
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Describe the bug
Clipping a DataFrame or Series using ints causes a cudf Failure because it won't handle the different dtypes (int and float)
Steps/Code to reproduce bug
data = cudf.Series([-0.43, 0.1234, 1.5, -1.31])
data.clip(0, 1)
...
File "cudf/_lib/replace.pyx", line 216, in cudf._lib.replace.clip
File "cudf/_lib/replace.pyx", line 198, in cudf._lib.replace.clamp
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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
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Location of the documentation
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_pickle.html
Documentation problem
How to use storage_option param here to integrate with GCP bucket?
Suggested fix for documentation
Please add some examples to pandas.DataFrame.to_{any_file_format}.html