![]() ![]() 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) We can make them bigger using the fontsize parameter. If you look at the figure above, you can see that axis labels as well as the title are very small. However, the same method works with pyplot.subplots or keys that are different than what you want to label the subplot with. Note, here we use pyplot.subplotmosaic, and use the subplot labels as keys for the subplots, which is a nice convenience. 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)) Simplest is putting the label inside the axes. To add x axis labels, we use plt.xlabel() or ax.set_xlabel(). ax11.legend() ax12.legend() etc, or more simply/more generally, just iterate over all of the handles at the end: for ax in axes.flat: ax. 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') If you use the per-subplot handles, you will produce the desired result of a legend in each subfigure - either change your calls to plt.legend() after the plot to. 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. title and axis label is overlap in python. To add title in matplotlib, we use plt.title() or ax.set_title() matplotlib - Title and axis label overlapping in python - Stack Overflow Title and axis label overlapping in python Ask Question Asked today Modified today Viewed 2 times 0 I have a problem in plotting in subplot, i.e. ![]() In this post, you will learn how to add Titles, Axis Labels and Legends in your matplotlib plot. ![]()
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