creating plot matrix with relplot in seaborn

Question

I am trying to add multiple plots and create a matrix plot with seaborn. unfortunately python give me following warning.

"relplot is a figure-level function and does not accept target axes. You may wish to try scatterplot"

fig, axes = plt.subplots(nrows=5,ncols=5,figsize=(20,20),sharex=True, sharey=True)

for i in range(5):
    for j in range(5):
        axes[i][j]=seaborn.relplot(x=col[i+2],y=col[j+2],data=df,ax=axes=[i][j])

I would like to know if there's any method with which I can combine all the plots plotted with relplot.

Answer 1

relplot works differently than for example scatterplot. With relplot you don't need to define subplots and loop over them. Instead you can say what you would like to vary on each row or column of a graph.

For an example from the documentation:

import seaborn as sns
sns.set(style="ticks")
tips = sns.load_dataset("tips")
g = sns.relplot(
    x="total_bill", y="tip", hue="day",
    col="time", row="sex", data=tips
)

Which says: on each subplot, plot the total bill on the x-axis, the tip on the y-axis and vary the hue in a subplot with the day. Then for each column, plot unique data from the "time" column of the tips dataset. In this case there are two unique times: "Lunch" and "Diner". And finally vary the "sex" for each subplot row. In this case there are two types of "sex": "Male" and "Female", so on one row you plot the male tipping behavior and on the second the female tipping behavior.

I'm not sure what your data looks like, but hopefully this explanation helps you.