# How to Increase Plot Size in Matplotlib

You can use the following syntax to increase the size of a single plot in Matplotlib:

```import matplotlib.pyplot as plt

#define figure size in (width, height) for a single plot
plt.figure(figsize=(3,3))
```

And you can use the following syntax to increase the size of all Matplotlib plots in a notebook:

```import matplotlib.pyplot as plt

#define figure size in (width, height) for all plots
plt.rcParams['figure.figsize'] = [10, 7]
```

The following examples show how to use this syntax in practice.

### Example 1: Increase Size of a Single Matplotlib Plot

Suppose we create the following line plot in Matplotlib:

```import matplotlib.pyplot as plt

#define x and y
x = [1, 6, 10]
y = [5, 13, 27]

#create plot of x and y
plt.plot(x, y)
plt.show()``` By default, the (width, height) of a Matplotlib plot is (6.4, 4.8).

However, we can use the following syntax to increase the plot size to whatever dimensions we’d like:

```import matplotlib.pyplot as plt

#define plot size
plt.figure(figsize=(5,8))

#define x and y
x = [1, 6, 10]
y = [5, 13, 27]

#create plot of x and y
plt.plot(x, y)
plt.show()``` ### Example 2: Increase Size of All Matplotlib Plots

The following code shows how to set the plot size for all Matplotlib plots in a notebook:

```import matplotlib.pyplot as plt

#define plot size for all plots
plt.rcParams['figure.figsize'] = [10, 4]

#define first dataset
x = [1, 6, 10]
y = [5, 13, 27]

#create first plot
plt.plot(x, y)
plt.show()

#define second dataset
x2 = [1, 6, 10]
y2 = [5, 19, 12]

#create second plot
plt.plot(x2, y2)
plt.show()``` Notice that both plots have the width and height specified by the rcParams arguments.