Currently Styler.clear() will clear the styles built up with the apply aaplymap and where method. It will clear class from the set_td_classes method and it will clear tooltips set with set_tooltips.

It does not clear table styles, and it does not clear formats. It does not reset hidden index or hidden columns.

Thoughts and PR into what this should do and how it should it be docum

it would be handy to have a passthrough parameter to dd.concat - currently the union_categoricals call is parameter-free:

    dtype = "category"
            if left is not None and right is not None:
                dtype = union_categoricals(
                    [left.astype("category").values, right.astype("category").values]
                ).dtype

This can be made more fle

Hello,

It seems when a cached file is saved from calling dataset.map for preprocessing, it gets the user permissions and none of the user's group permissions. As we share data files across members of our team, this is causing a bit of an issue as we have to continually reset the permission of the files. Do you know any ways around this or a way to correctly set the permissions?

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

Implements {DataFrame,Series}.empty