How to make a radar chart using python with data stored in variables

Question

i have 9 values that i calculate and store in variables, now i want to make a radar chart out of these values. After looking at some tutorials i wanted to make a data frame out of the data, like in the following exaple. I only need one colum in the first step.

df2 = pd.DataFrame(np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]),
                   columns=['a', 'b', 'c'])
df2
   a  b  c
0  1  2  3
1  4  5  6
2  7  8  9

thats the example i found on pandas.pydata.org

so i tried this

df2 = pd.DataFrame(np.array([avgac], [avgda], [avgen], [avgin], [avgke], [avgli], [avglo], [avgsp], [avgva]),
            columns=['values']
        )

If i try to run this i get an error (ValueError: only 2 non-keyword arguments accepted) my values which i want to use are in these variables avgac... when i print them it looks like this

print("acousticness: ", avgac, ...

acousticness: 0.20569285714285715 ....

How could i make a radar chart out of these variables?

Answer 1

Just create the dataframe in this way:

a=1;b=2;c=3;d=4
df2 = pd.DataFrame({"Variable":[a,b,c,d],"Name": ["a","b","c","d"]})

Replace a,b,c,d.. with the name of your variables. Then you can use plotly to make the radar chart:

import plotly.express as px
fig = px.line_polar(df2, r="Variable", theta='Name', line_close=True)
fig.show()