指定要在Seaborn对图中绘制的数据

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

Answer 1

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)

Answer 2

Using x_vars and 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"])

Answer 3

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