pandas
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I just ran into an issue when trying to use to_csv with distributed workers that don't share a file system. I shouldn't have been surprised that writing to a local file system from a distributed worker doesn't work. It shouldn't work. But the error I got was just a File Not Found error. That brought me to:dask/dask#2656 (comment) - which was the answer.
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Describe the bug
Integer columns that are enclosed in quotes are not correctly inferred as integer columns.
Steps/Code to reproduce bug
import cudf
import pandas as pd
from io import StringIO
from cudf.tests.utils import assert_eq
buffer = '"intcol","stringcol"\n"1","some string"\n"2","some other string"'
pd_df = pd.read_csv(StringIO(buffer))
cu_df = cudf.read_csv(String
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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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Looks like the format of our team grid is broken when there is only one maintainer in a row, check Patrick here: https://pandas.pydata.org/about/team.html
The website generates invisible cards in the last row so the size stays the same, regardless of the actual (visible) number of cards. But something doesn't seem to be working as expected.