🔒 Trying to make a heatmap, but for counts of categorical variables

[sick pumice]

@cinder tide

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[cinder tide]

Code creating the dataset is as follows:

{python}
n_color_clarity=diamonds.groupby(["cut", "color", "clarity"]).agg(count=("cut", "count")).reset_index() # this resets the indices back to that of a normal dataset
print(n_color_clarity)

[cinder tide]

I settled on a stripplot, but now it's just a grid of points. Thus, I'm thinking of varying the size of the points based on the number of observations in said point (based on the count in the above dataframe). Here's what I've got so far:

g=sns.FacetGrid(n_color_clarity,col="cut")
g.map_dataframe(
    sns.stripplot,
    x="clarity",
    y="color",
    size="count"
)

Unfortunately, I keep getting an error that says:

TypeError: unsupported operand type(s) for ** or pow(): 'str' and 'int'```
This is weird because `count` is an `int64`. What is wrong and how can I fix this?

This is the head of n_color_clarity btw:

   cut color clarity  count
0  Fair     D      I1      4
1  Fair     D      IF      3
2  Fair     D     SI1     58
3  Fair     D     SI2     56
4  Fair     D     VS1      5

[sick pumice]

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