![]() ![]() 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. 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: Plt.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). We have to find sea level rise in past 100 years. The point is data helps you to find facts.Īlright so after this fake data let’s deal with real data. The girl did not perform well could have some domestic issue, or ill. There are chances that the guy who performed well was being strictly monitored by parents and he was asked to work well or guided well. Imagine if a school head hire a statistician, he would present this graph and then will ask the head to call these two buddies for their exceptional results. Graphs help you to find the fact and then investigate the causes this result got produced. Data tells you story, it helps you to investigate unknowns. The guy performed pretty well while a single girl did pretty bad. There are two outliers, one in guys and other in girls. The graph is clearly telling that girls performed way better than guys but. When it runs it produces a graph like below:īoys are in green while girls in red. ![]() We have grades available in two different lists and we are going to call scatter twice to plot different data sets. Plt.scatter(grades_range, boys_grades, color= 'g') Plt.scatter(grades_range, girls_grades, color= 'r') We are going to make a scatter plot for that. The goal is to find out who performed better and how to get rid of shortcomings. In this class both guys and girls appeared in the exam. Suppose the result was announced for a class. ![]() First come up with a toy but interesting example. It also helps it identify Outliers, if any.Įnough talk and let’s code. Scatter Plots are usually used to represent the correlation between two or more variables. The data are displayed as a collection of points, each having the value of one variable determining the position on the horizontal axis and the value of the other variable determining the position on the vertical axis. ![]() If the points are color-coded, one additional variable can be displayed. What is Scatter Plot?įrom Wikipedia: A scatter plot (also called a scatterplot, scatter graph, scatter chart, scattergram, or scatter diagram) is a type of plot or mathematical diagram using Cartesian coordinates to display values for typically two variables for a set of data. In last post I talked about plotting histograms, in this post we are going to learn how to use scatter plots with data and why it could be useful. ![]()
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