This method is declared as final:

https://github.com/pandas-dev/pandas/blob/526d52f91ee06ba9134762373ab3a0bb38395d8a/pandas/core/generic.py#L3629-L3630

It's then overridden in series:

https://github.com/pandas-dev/pandas/blob/526d52f91ee06ba9134762373ab3a0bb38395d8a/pandas/core/series.py#L866

The reason mypy doesn't detect this failure is that the override in series in untyped,

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

Is your feature request related to a problem? Please describe.
I would be useful to have the ability to make a reverse copy of a column and/or table.
I am thinking of std::reverse (https://en.cppreference.com/w/cpp/algorithm/reverse) . But not necessarily using iterators, since that might make things more complicated.

Describe the solution you'd like
The following APIs could be

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?

I love the interactivity of plotly to plot data and visualize it, but the problem is when you try to do it with medium to big datasets. In my case I'm trying with a dataset of (235395, 21), I was surprise because in general is fast, but I wanted to mention a couple points.

• When I check the correlation matrix it appears a little bit squeeze, maybe have a button to see it in a new tab? Or redim