pandas.io.formats.style.Styler.hide_columns
- Styler. hide_columns ( subset=None, level=None, names=False ) [source]
-
Hide the column headers or specific keys in the columns from rendering.
This method has dual functionality:
if
subset
isNone
then the entire column headers row, or specific levels, will be hidden whilst the data-values remain visible.if a
subset
is given then those specific columns, including the data-values will be hidden, whilst the column headers row remains visible.
Changed in version 1.3.0.
- ..deprecated:: 1.4.0
-
This method should be replaced by
hide(axis="columns", **kwargs)
- Parameters
-
- subset :label, array-like, IndexSlice, optional
-
A valid 1d input or single key along the columns axis within DataFrame.loc[:, <subset>], to limit
data
to before applying the function. - level :int, str, list
-
The level(s) to hide in a MultiIndex if hiding the entire column headers row. Cannot be used simultaneously with
subset
.New in version 1.4.0.
- names :bool
-
Whether to hide the column index name(s), in the case all column headers, or some levels, are visible.
New in version 1.4.0.
- Returns
-
- self :Styler
See also
-
Styler.hide
-
Hide the entire index / columns, or specific rows / columns.
© 2008–2022, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/1.4.0/reference/api/pandas.io.formats.style.Styler.hide_columns.html