When you plot a normalized histogram, it is not the height that should sum up to one, but the area underneath the curve should sum up to one: Here, this example, the bin width is 0.1, the area underneath the curve sums up to one (0.1*10). To have the sum of height to be 1, … Read more
Seaborn’s barplot returns an axis-object (not a figure). This means you can do the following:
If you are using conda, you need to install seaborn with the version specified: Once your seaborn 0.9.0 is installed properly, you should be able to use the lineplot function (at least it works on mine). That way you don’t have to go outside of the conda ecosystem and use seaborn with pip.
You can scale up the fonts in your call to sns.set().
In PyCharm IDE, we can import the downloaded libraries, and that’s what I did. Still, I have no clue on how to resolve this issue on Python IDE, but as of now, it’s working on PyCharm for me.
I tried the following code (test_seaborn.py): But I get this error: I expect the final output.png will exist and look like this: How can I resolve the problem?
Seems pretty Googleable but haven’t been able to find something online that works. I’ve tried both sns.boxplot(‘Day’, ‘Count’, data= gg).title(‘lalala’) and sns.boxplot(‘Day’, ‘Count’, data= gg).suptitle(‘lalala’). None worked. I think it might be because I’m also working with matplotlib.
We create the figure with the subplots: Where axes is an array with each subplot. Then we tell each plot in which subplot we want them with the argument ax. And the result is:
You need to create the matplotlib Figure and Axes objects ahead of time, specifying how big the figure is:
I would suggest not to use seaborn pointplot for plotting. This makes things unnecessarily complicated.Instead use matplotlib plot_date. This allows to set labels to the plots and have them automatically put into a legend with ax.legend(). In case one is still interested in obtaining the legend for pointplots, here a way to go: