I have a simple dataframe that looks like this.
Rating Count
AA+ 0.06
AA 0
AA 0
AA+ 0.09
BBB 0.55
AA+ 0.04
AA 0
AA 0.11
B 0.54
A 0
BBB 0.5
I tried to plot it as both a HeatMap and a TreeMap. I tested this simple code and got an error.
f, ax = plt.subplots(figsize=(9, 6))
sns.heatmap(df1, annot=True, fmt=".01", linewidths=.5, ax=ax)
Error: TypeError: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
I think the dataframe has to be pivoted, or somehow coerced into some other form. What I would like to do is count the number of occurrences of 'AA+ 0.06' & 'AA+ 0.04', etc. There are several of these patterns repeating. There could be 1, 2, 3, 4, etc., counts or each. How can I do that, and plot the results in a HeatMap or TreeMap? Thank you.
This is what worked for me.
import squarify # pip install squarify (algorithm for treemap)
import matplotlib
...etc.
squarify.plot(sizes=df_rtg['Count'], label=df_rtg['Rating'], alpha=.8 )
plt.axis('off')
plt.show()
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