Specifying data to plot in Seaborn pairplot

Question

I really like using Seaborn's PairPlot chart/function, but I wondered if there was a way to be a bit more specific about what plots to see.

For example, I have a df of stock prices. Let's say Stock A, Stock B, Stock C, Stock D etc.

Using sns.pairplot(df) I get the following:

What I would like to do is be able to plot for example, Stock A, Stock B, Stock C, against Stock X, Stock Y, Stock Z. SO A, B and C will appear along the X-axis, and X, Y and Z will appear along the Y-axis. This will of course result in to bar charts.

And as an extra point if anyone knows how I can display the line of best fit along with the r-squared number on each plot that would be amazing.

Cheers

Ignacio Vergara Kausel · Accepted Answer · 2019-04-27 10:25:20Z

2

Using x_varsand y_vars indicating which columns you want see. pairplot documentation

sns.pairplot(df, x_vars=["Stock A", "Stock B", "Stock C"], y_vars=["Stock X", "Stock Y", "Stock Z"])

answered Apr 27, 2019 at 10:25

Ignacio Vergara Kausel

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2 Comments

top bantz Over a year ago

Ah perfect, lovely answer thanks mate. I did actually see that in the documentation but wasn't really sure what it meant as I couldn't see any examples. Thanks again mate.

Ignacio Vergara Kausel Over a year ago

There is an example using that argument at some point, but I agree it's not the best worked one.

Sam Mason · Accepted Answer · 2019-04-27 10:35:59Z

2

you can use seaborn's PairGrid to do regression plots. something like this should work:

g = sns.PairGrid(
    df,
    x_vars=["Stock A", "Stock B", "Stock C"],
    y_vars=["Stock X", "Stock Y", "Stock Z"]
)
g.map(sns.regplot)

answered Apr 27, 2019 at 10:35

Sam Mason

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Comments

P.hunter · Accepted Answer · 2019-04-27 10:35:29Z

1

for bar graph:

sns.barplot(x=["Stock A", "Stock B", "Stock C"], y=["Stock X", "Stock Y", "Stock Z"], data=your_data)

for the latter you might wanna look at: https://seaborn.pydata.org/generated/seaborn.regplot.html

answered Apr 27, 2019 at 10:35

P.hunter

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