remove tick label pyplot subplot axes object

Clearing Plot in Matplotlib: Understanding Axes and Figures

When working with plots in Matplotlib, it's common to need to clear the plot without closing the window. In this article, we'll explore how to do just that by clearing the current axes and figure state of a plot.

A Figure is a container class within the top-level Figure container in Matplotlib. It includes everything visualized in a plot, including one or more Axes. On the other hand, an Axes is a data plotting area where most elements in a plot are located, such as Axis, Tick, Line2D, and Text.

To clear the current axes state without closing it, you can use the `cla()` function. This will remove all artists from the axes, but not close the figure. In contrast, the `clf()` function is used to clear the current figure's state without closing it. This method is useful when you want to create multiple figures simultaneously and only clear one of them.

Here are some examples that demonstrate how to use these functions:

* The following code creates a Figure and plots two Axes in two different subplots:

```

import matplotlib.pyplot as plt

fig, axes = plt.subplots(2)

```

* To clear the current axes state without closing it, you can use the `cla()` function:

```

axes'1'.cla()

```

* Similarly, to clear the current figure's state without closing it, you can use the `clf()` function:

```

plt.clf()

```

In summary, clearing a plot in Matplotlib involves understanding the difference between Axes and Figures. By using the `cla()` and `clf()` functions, you can clear the current axes and figure state of a plot without closing the window.

Remove tick label pyplot subplot axes object