python: one kernel density plot which includes multiple columns in a single dataframe

Question

I need to make a single gaussian kernel density plot of a dataframe with multiple columns which includes all columns of the dataframe. Does anyone know how to do this?

So far I only found how to draw a gaussian kernel plot of a single column with seaborn. ax = sns.kdeplot(df['shop1']) However, neither ax = sns.kdeplot(df)norax = sns.kdeplot(df['shop1','shop2]) do not work.

Otherwise is there a workaround where I could transform the dataframe with shape df.shape(544, 33) to (17952, 2), by appending each columns to eachother?

The dataframe includes normalized prices for one product, whereas each column represents a different seller and the rows indicate date and time of the prices.

Answer 1

I did find how to work around by transforming the dataframe's columns into one single column.

df.stack()