Using Pyplot Subplot to Control Screen Location

When creating subplots in Python using matplotlib, it is often necessary to control the screen location of these subplots. This can be achieved through the use of the `subplots` method and various optional arguments.

One such argument is the `index` parameter, which refers to the current selected plot within a plot grid. The `nrows` and `ncols` parameters define the number of rows and columns of subplots in the plot grid, respectively.

For instance, if you want to create a 2x2 subplot grid with four separate plots, you can use the following code:

```

fig, ax = plt.subplots(nrows=2, ncols=2)

```

This will create a 2x2 grid of subplots, with each plot having its own set of axes.

However, when creating these subplots, you may encounter situations where axis labels overlap one another. This is especially true when working with larger datasets and more complex visualizations.

To address this issue, matplotlib provides the `constrained_layout` function. This function takes into account various factors such as ticklabels, axis labels, titles, and legends, to ensure that these elements are properly positioned within the plot grid.

For example, if you want to create a subplot with a title and axis labels that do not overlap, you can use the following code:

```

fig = plt.figure(constrained_layout=True)

ax1 = fig.add_subplot(121)

ax2 = fig.add_subplot(122)

# Add titles and axis labels

ax1.set_title('Citric Acid plotted against Fixed Acidity')

ax2.set_title('Total Sulfur Dioxide plotted against Fixed Acidity')

plt.show()

```

In this example, the `constrained_layout` function is used to ensure that the title and axis labels do not overlap within the plot grid.

By using these techniques, you can effectively control the screen location of your subplots and create visually appealing and informative plots.

Pyplot subplot screen location