Now we have a plot of bigger size as we needed.
We need to specify the argument figsize with x and y-dimension of the plot we want. In some cases, it is not possible to set the label of the handle, so it is possible to pass through the list of labels to legend(): fig,axplt.subplots()lineup,ax.plot(1,2,3,label'Line 2')linedown,ax.plot(3,2,1,label'Line 1')ax.legend(lineup,linedown,'Line Up','Line Down') Creating artists specifically for adding to the legend (aka. We can change the default size of the image using plt.figure() function before making the plot. Renaming X-Axis Labels when using Matplotlib and Pandas Ask Question Asked 7 years, 9 months ago Modified 2 years, 3 months ago Viewed 24k times 3 I'm running my code on iPython Notebooks, on a Macbook Pro Yosemite 10.10.4 I have a CSV file that I am trying to read using Python, and looking to come up with charts. Often we ould like to increase the size of the Seaborn plot. Once you have made all necessary changes to the plot and final step is to save the plot as an image of specifcied size.
Matplotlib python rename x label how to#
Set Title with Seaborn How To Change the Size of a Seaborn Plot?
Here is how the plot looks like with increased label sizes and title for the plot. We can use plt.title() function to add title to the plot. In this example, we have changed both x and y-axis label sizes to 20 from the default size.Ĭhange axis label size with Seaborn How To Set a Title to a Seaborn Plot?Īnother useful addition to a plot is to add title describing the plot. Sns.scatterplot(x="height", y="weight", data=df)
The ot functions can also be used to change the size of the labels by using size as another argument. Change Axis Labels With Seaborn How To Change X & Y Axis Label Size in a Seaborn Plot?
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