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Update README.md

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Signed-off-by: David Rotermund <54365609+davrot@users.noreply.github.com>
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matplotlib/animation_and_slider/README.md
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@ -187,7 +187,9 @@ Another one is this:
Please check yourself which suits your setup best.
## [matplotlib.widgets.Slider](https://matplotlib.org/stable/api/widgets_api.html#matplotlib.widgets.Slider)
## Slider
### [matplotlib.widgets.Slider](https://matplotlib.org/stable/api/widgets_api.html#matplotlib.widgets.Slider)
```python
class matplotlib.widgets.Slider(ax, label, valmin, valmax, *, valinit=0.5, valfmt=None, closedmin=True, closedmax=True, slidermin=None, slidermax=None, dragging=True, valstep=None, orientation='horizontal', initcolor='r', track_color='lightgrey', handle_style=None, **kwargs)
@ -224,6 +226,50 @@ class matplotlib.widgets.Slider(ax, label, valmin, valmax, *, valinit=0.5, valfm
>
> The orientation of the slider.
### [matplotlib.figure.add_axes](https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure.add_axes)
```python
add_axes(*args, **kwargs)
```
> Add an Axes to the figure.
>
> **rect**: tuple (left, bottom, width, height)
>
> The dimensions (left, bottom, width, height) of the new Axes. All quantities are in fractions of figure width and height.
>
> **projection** : {None, 'aitoff', 'hammer', 'lambert', 'mollweide', 'polar', 'rectilinear', str}, optional
>
> The projection type of the Axes. str is the name of a custom projection, see projections. The default None results in a 'rectilinear' projection.
>
> **polar** : bool, default: False
>
> If True, equivalent to projection='polar'.
>
> **axes_class** : subclass type of Axes, optional
>
> The axes.Axes subclass that is instantiated. This parameter is incompatible with projection and polar. See axisartist for examples.
>
> **sharex**, **sharey** : Axes, optional
>
> Share the x or y axis with sharex and/or sharey. The axis will have the same limits, ticks, and scale as the axis of the shared axes.
>
> **label** : str
>
> A label for the returned Axes.
### [on_changed](https://matplotlib.org/stable/api/widgets_api.html#matplotlib.widgets.Slider.on_changed)
```python
on_changed(func)
```
> Connect func as callback function to changes of the slider value.
>
> **func** : callable
>
> Function to call when slider is changed. The function must accept a single float as its arguments.
### Example
```python