How can I add grid lines (vertically and horizontally) to a seaborn
catplot? I found a possibility to do that on a boxplot, but I have multiple facets and therefore need a catplot instead. And in contrast to this other answer, catplot does not allow an ax
argument.
This code is borrowed from here.
import seaborn as sns
sns.set(style="ticks")
exercise = sns.load_dataset("exercise")
g = sns.catplot(x="time", y="pulse", hue="kind", data=exercise)
plt.show()
Any ideas? Thank you!
EDIT: The provided answer is working, but for faceted plots, only the last plot inherits the grid.
import seaborn as sns
sns.set(style="ticks")
exercise = sns.load_dataset("exercise")
g = sns.catplot(x="time", y="pulse", hue="kind", col="diet", data=exercise)
plt.grid()
plt.show()
Can someone explain to me why and how to fix it?
Set the background to be Whitegrid: Whitegrid appears on the sides of the plot on setting it as set_style('whitegrid'). palette attribute is used to set the color of the bars.
In Seaborn, we will plot multiple graphs in a single window in two ways. First with the help of Facetgrid() function and other by implicit with the help of matplotlib. data: Tidy dataframe where each column is a variable and each row is an observation.
Seaborn has five built-in themes to style its plots: darkgrid , whitegrid , dark , white , and ticks . Seaborn defaults to using the darkgrid theme for its plots, but you can change this styling to better suit your presentation needs. To use any of the preset themes pass the name of it to sns. set_style() .
You can set the grid over seaborn plots in two ways:
plt.grid()
method:You need to use the grid
method inside matplotlib.pyplot
. You can do that like so:
import seaborn as sns
import matplotlib.pyplot as plt
sns.set(style="ticks")
exercise = sns.load_dataset("exercise")
g = sns.catplot(x="time", y="pulse", hue="kind", data=exercise)
plt.grid() #just add this
plt.show()
Which results in this graph:
sns.set_style()
methodYou can also use sns.set_style
which will enable grid over all subplots in any given FacetGrid
. You can do that like so:
import seaborn as sns
import matplotlib.pyplot as plt
sns.set(style="ticks")
exercise = sns.load_dataset("exercise")
sns.set_style("darkgrid")
g = sns.catplot(x="time", y="pulse", hue="kind", col="diet", data=exercise)
plt.show()
Which returns this graph:
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