Thanks to theidioms.com

# Learn Matplotlib for Data Science (Course III)

## Learn Matplotlib for Data Science (Course III)

### Saving Plots in Matplotlib

In the previous chapters, we have learned about how to plot 2D and 3D plots in Matplotlib. In this chapter, we will learn how to save plots in Matplotlib.

#### How to save a Matplotlib plot?

A Matplotlib Plot can be saved by proving the image path and the plot to the savefig() function of Matplotlib pyplot.

```# Libraries/Modules import conventions
import matplotlib.pyplot as plt

# For interactive matplotlib sessions, turn on the matplotlib inline mode
%matplotlib inline

# Dummy Data
X = [1, 2, 3, 4]
Y = [2, 4, 6, 8]

# plot() is used for plotting a line plot
plt.plot(X, Y)

# Adding title, xlabel and ylabel
plt.title('A Basic Line Plot') #Title of the plot
plt.xlabel('X-axis') #X-Label
plt.ylabel('Y-axis') #Y-Label

# Saving the plot
plt.savefig('figureName.png') # You can also specify full path to storage```

You can find the saved plot in the folder from where you ran the Python script/Jupyter Notebook cell. The image will look like this:

#### Some other options for savefig()

The following are some few other options that can be passed on to the savefig() function of matplotlib pyplot to further customize the image to be saved:

• `dpi`: Set the resolution of the file to a numeric value.
• `transparent`: Can be set to `True` to make the background of the plot transparent.
• `bbox_inches`: To alter the size of the bounding box (whitespace) around the output image. In most cases, if no bounding box is desired, using `bbox_inches='tight'` is ideal.

Now we know how to save a plot in Matplotlib.

In the next chapter, we will learn how to work with images in Matplotlib. Head over to the next and final chapter of the Matplotlib Full Course. 