This check is no longer relevant:

https://github.com/pandas-dev/pandas/blob/9ab55b4aed9018b070c939ffbdf232f99bf50f1a/.pre-commit-config.yaml#L83-L88

Since using PEP604 rewrites, this would be written as

x: Series | DataFrame

anyway.

x: FrameOrSeriesUnion

is actually just as long as the above, and arguably less explicit.

@simonjayhawkins thoughts on replacin

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.

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

Describe the bug
After applying the unstack function, the variable names change to numeric format.

Steps/Code to reproduce bug

def get_df(length, num_cols, num_months, acc_offset):
    cols = [ 'var_{}'.format(i) for i in range(num_cols)]
    df = cudf.DataFrame({col: cupy.random.rand(length * num_months) for col in cols})
    df['acc_id'] = cupy.repeat(cupy.arange(length), nu

Hello,

I want to get intraday data without split/dividend adjustment. How can I get raw intraday data?

From API docs:

Optional: adjusted

By default, adjusted=true and the output time series is adjusted by historical split and dividend events. Set adjusted=false to query raw (as-traded) intraday values.

get_intraday and `g

• What's your use case?