make scatter plot window bigger matplotlib

#Make scatter plot window bigger matplotlib how to#

Using the set_figwidth() method, we set the width of the plot to 10. This method will not change the default or preset value of the plot's height. We'll pass in the value the width should be changed to as a parameter to the method. You can use the set_figwidth() method to change the width of a plot.

#Make scatter plot window bigger matplotlib how to#

Here's what the plot would look like: matplotlib plot with modified figure size How to Change Plot Width in Matplotlib with set_figwidth() This will modify/change the width and height of the plot. We've added one new line of code: plt.figure(figsize=(10,6)). Here's a code example: import matplotlib.pyplot as plt Here's what the syntax looks like: figure(figsize=(WIDTH_SIZE,HEIGHT_SIZE)) The figsize() attribute takes in two parameters - one for the width and the other for the height.

We can change the size of the plot above using the figsize() attribute of the figure() function. Here's what the plot would look like with the default figure size parameters: matplotlib plot with default figure size parameters Lastly, the plt.show() displays the plot. Using plt.plot(), we plotted list x on the x-axis and list y on the y-axis: plt.plot(x,y).

We then created two lists - x and y - with values to be plotted. In the code above, we first imported matplotlib. Let's get started! How to Change Plot Size in Matplotlib with plt.figsize()Īs stated in the previous section, the default parameters (in inches) for Matplotlib plots are 6.4 wide and 4.8 high. In this article, you'll learn how to change the plot size using the following: When creating plots using Matplotlib, you get a default figure size of 6.4 for the width and 4.8 for the height (in inches).