If you are interested, you can even create your own style sheets.

Paraeters for your style sheets are stored in a dictionary-like variable `plt.rcParams`

Parameters for your style sheets are stored in a dictionary-like variable `plt.rcParams`

```{code-cell} python3

---

# set to the default style sheet

plt.style.use('default')

#set default figure size

plt.rcParams["figure.figsize"] = (10, 6)

# update linewidth

plt.rcParams['lines.linewidth'] = 2

# add horizontal grid lines

plt.rcParams['axes.grid'] = True

plt.rcParams['axes.grid.axis'] = 'y'

# update colors for density lines

plt.rcParams['axes.prop_cycle'] = cycler('color', ['dimgray', 'slategrey', 'darkgray'])

plt.rcParams['axes.prop_cycle'] = cycler('color',

['dimgray', 'slategrey', 'darkgray'])

```

```{note}

These settings are `global`.

Any plot generated after changing parameters in `.rcParams` will be affected by the setting.

```

```{code-cell} python3

fig, ax = plt.subplots()

x = np.linspace(-4, 4, 150)

for i in range(3):

ax.plot(x, y, linewidth=2, alpha=0.6, label=current_label)

ax.legend()

plt.show()

```

Apply the `default` style sheet again to change your style back to default

```{code-cell} python3

plt.style.use('default')

#set default figure size

plt.rcParams["figure.figsize"] = (10, 6)

```

Here are [more examples](https://www.datafantic.com/the-magic-of-matplotlib-stylesheets/) on how to change these parameters.

## Further Reading

* The [Matplotlib gallery](http://matplotlib.org/gallery.html) provides many examples.