Plt.show() indian = df='Indian']Īx.scatter(x=indian, y=indian, label='Indian', color='seagreen')Īx.scatter(x=overseas, y=overseas, label='overseas', color='crimson')Īx. Plt.title("Runs vs Strike Rate", fontsize=20) Note to make the legends visible to also need to add the labels parameter in the scatter plot. To add legends in matplotlib, we use the plt.legend() or ax.legend(). fig, ax = plt.subplots(figsize=(10, 8))Īx.set_title('Runs vs Strike Rate', fontsize=20)Īx.set_xlabel('Strike Rate', fontsize=18) Likewise, to set a title, you need ax.settitle You can see all the available methods for an axes instance in the api docs, here. (Compare these to plt.xlabel, etc., for the state-machine interface). We can make them bigger using the fontsize parameter. When using the matplotlib object-oriented interface, the correct commands to use are ax.setxlabel and ax.setylabel. If you look at the figure above, you can see that axis labels as well as the title are very small. And to add y labels we use plt.ylabel() or ax.set_ylabel() plt.figure(figsize=(10, 8))Īdd x-axis and y-axis label in object oriented interface fig, ax = plt.subplots(figsize=(10, 8)) Next, we can assign the plots title with plt.title, and then we can invoke. To add x axis labels, we use plt.xlabel() or ax.set_xlabel(). With plt.xlabel and plt.ylabel, we can assign labels to those respective axis. For more information read this post – Matlab Style interface vs Object oriented interface fig, ax = plt.subplots(figsize=(10, 8))Īx.scatter(x=df, y=df, color='seagreen') Plt.scatter(x=df, y=df, color='seagreen')Īx.set_title() is used for adding title to the object oriented interface plots. Now, let’s create a scatter plot and add a title to it. How to display x axis label for each matplotlib subplot Ask Question Asked 6 years, 10 months ago Modified 6 years, 10 months ago Viewed 4k times 1 I want to add an x axis label below each subplot. For example, we can reduce the height between vertical subplots using addgridspec(hspace0). To precisely control the positioning of the subplots, one can explicitly create a GridSpec with Figure.addgridspec, and then call its subplots method. To add title in matplotlib, we use plt.title() or ax.set_title() Still there remains an unused empty space between the subplots. In this post, you will learn how to add Titles, Axis Labels and Legends in your matplotlib plot.
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