# Matplotlib 3D Plotting - Line and Scatter Plot

In this tutorial, we will cover **Three Dimensional Plotting in the Matplotlib**.

It is important to note that Matplotlib was **initially designed with only two-dimensional plotting in mind**. But later on, some **three-dimensional plotting utilities** were built on top of Matplotlib's two-dimensional display, which provides a set of tools for three-dimensional data visualization in matplotlib.

Also, a 2D plot is used to show the relationships between a single pair of axes that is **x and y** whereas the 3D plot, on the other hand, allows us to explore relationships of **3 pairs of axes** that is **x-y, x-z, and y-z**

## Three Dimensional Plotting

The 3D plotting in Matplotlib can be done by enabling **the utility toolkit**. The utility toolkit can be enabled by **importing the** `mplot3d`

library, which comes with your standard Matplotlib installation via **pip**.

After** importing this sub-module**, 3D plots can be created by passing the keyword `projection="3d"`

to any of the **regular axes creation functions in Matplotlib**.

Let us cover some examples for three-dimensional plotting using this submodule in matplotlib.

## 3D Line Plot

Here is the syntax to plot the 3D Line Plot:

`Axes3D.plot(xs, ys, *args, **kwargs)`

With the code snippet given below we will cover the 3D line plot in Matplotlib:

```
from mpl_toolkits import mplot3d
import numpy as np
import matplotlib.pyplot as plt
fig = plt.figure()
ax = plt.axes(projection='3d')
z = np.linspace(0, 1, 100)
x = z * np.sin(30 * z)
y = z * np.cos(30 * z)
ax.plot3D(x, y, z, 'maroon')
ax.set_title('3D line plot')
plt.show()
```

Following is the output for it:

## 3D Scatter Plot

Here is the syntax for 3D Scatter Plot:

`Axes3D.scatter(xs, ys, zs=0, zdir='z', s=20, c=None, depthshade=True, *args, **kwargs)`

### Arguments

Argument | Description |
---|---|

xs, ys |
These two arguments indicate the position of data points. |

zs |
It can be Either an array of the same length as xs and ys or it can be a single value to place all points in the same plane. The default value of this argument is 0. |

zdir |
This Argument is used to indicate which direction to use as z (‘x’, ‘y’ or ‘z’) at the time of plotting a 2D set. |

s |
This argument is used to indicate the Size in points. It can either be a scalar or an array of the same length as x and y. |

c |
This argument is used to indicate the color. |

depthshade |
This argument is used to tell Whether or not to shade the scatter markers in order to give the appearance of depth. The default value of this argument is True. |

With the code snippet given below we will cover the 3D Scatter plot in Matplotlib:

```
fig = plt.figure()
ax = plt.axes(projection="3d")
z_line = np.linspace(0, 15, 500)
x_line = np.cos(z_line)
y_line = np.sin(z_line)
ax.plot3D(x_line, y_line, z_line, 'blue')
z_points = 15 * np.random.random(500)
x_points = np.cos(z_points) + 0.1 * np.random.randn(500)
y_points = np.sin(z_points) + 0.1 * np.random.randn(500)
ax.scatter3D(x_points, y_points, z_points, c=z_points, cmap='hsv');
plt.show()
```

The output is:

## Summary:

In this tutorial we learned the basics of 3D plotting in Matplotlib and how we do it for Line and Scatter plot with code examples.