seaborn.distplot has been DEPRECATED in seaborn 0.11 and is replaced with the following: displot(), a figure-level function with a similar flexibility over the kind of plot to draw. This is a FacetGrid, and does not have the ax parameter, so it will not work with matplotlib.pyplot.subplots. histplot(), an axes-level function for plotting histograms, including with … Read more
This can be done by passing a dictionary with FacetGrid keyword arguments to relplot, like this: facet_kws={‘sharey’: False, ‘sharex’: True} (See seaborn.relplot documentation.)
Although you can iterate through the axes and set the titles individually using matplotlib commands, it is cleaner to use seaborn’s built-in tools to control the title. For example: # Add a column of appropriate labels df_reduced[‘measure’] = df_reduced[‘ActualExternal’].replace({0: ‘Internal’, 1: ‘External’} g = sns.FacetGrid(df_reduced, col=”measure”, margin_titles=True) g.map(plt.hist, “ActualDepth”, color=”steelblue”, bins=bins, width=4.5) # Adjust title … Read more
You can get a list of axes used in the FacetGrid using FacetGrid.axes which returns the axes used. You can then do all of the normal matplotlib operations using these axes, such as axhline for horizontal lines, or plt.text for putting text on the axes: import seaborn as sns import matplotlib.pyplot as plt tips = … Read more
The lmplot function returns a FacetGrid instance. This object has a method called set, to which you can pass key=value pairs and they will be set on each Axes object in the grid. Secondly, you can set only one side of an Axes limit in matplotlib by passing None for the value you want to … Read more
Updating slightly, with seaborn 0.11.1: Seaborn’s relplot function creates a FacetGrid and gives each subplot its own explanatory title. You can add a title over the whole thing: import seaborn as sns tips = sns.load_dataset(‘tips’) rp = sns.relplot(data=tips, x=’total_bill’, y=’tip’, col=”sex”, row=’smoker’, kind=’scatter’) # rp is a FacetGrid; # relplot is a nice organized way … Read more
Function annotate() adds the same label to all panels in a plot with facets. If the intention is to add different annotations to each panel, or annotations to only some panels, a geometry has to be used instead of annotate(). To use a geometry, such as geom_text() we need to assemble a data frame containing … Read more