I have a pandas data frame with several entries, and I want to calculate the correlation between the income of some type of stores. There are a number of stores with income data, classification of area of activity (theater, cloth stores, food ...) and other data.
I tried to create a new data frame and insert a column with the income of all kinds of stores that belong to the same category, and the returning data frame has only the first column filled and the rest is full of NaN's. The code that I tired:
corr = pd.DataFrame() for at in activity: stores.loc[stores['Activity']==at]['income']
I want to do so, so I can use
.corr() to gave the correlation matrix between the category of stores.
After that, I would like to know how I can plot the matrix values (-1 to 1, since I want to use Pearson's correlation) with matplolib.