[Python] How to make a custom diagram with python for data analysis

I am looking for an idea how to change a diagram to make it fit to that picture:



Maybe it would make sense to make the output in a table to klick a row and show it in the diagram. But I have no idea which bib I can use.

The data I have already converted:

import pandas as pd

# Excel-Datei lesen
df = pd.read_csv('Data/DrivingRange.csv', sep=',')
df = df.drop(index=0)

# Carry-Distanz
df['Carry-Distanz'] = pd.to_numeric(df['Carry-Distanz'], errors='coerce')
# Club speed in km/h
df['Schl.gsch.'] = pd.to_numeric(df['Schl.gsch.'], errors='coerce')
# Club Path
df['Schwungbahn'] = pd.to_numeric(df['Schwungbahn'], errors='coerce')
# Face Angle
df['Schlagfläche'] = pd.to_numeric(df['Schlagfläche'], errors='coerce')
# Face to Path
df['Schlagflächenstellung'] = pd.to_numeric(df['Schlagflächenstellung'], errors='coerce')

# Club speed in mph
df['Schl_gsch_mph'] = df['Schl.gsch.'] * 0.621371

# Sequence of clubs
sequence = ['Lob-Wedge', 'Sandwedge', 'Eisen 9', 'Eisen 8', 'Eisen 7', 'Eisen 6', 'Eisen 5', 'Hybrid 4', 'Driver']
df['Schlägerart'] = pd.Categorical(df['Schlägerart'], categories=sequence, ordered=True)

# Sort DataFrame by category
df_sorted = df.sort_values(by='Schlägerart')



df_sorted_filtered = df_sorted[['Schlägerart','Schl_gsch_mph', 'Carry-Distanz', 'Schwungbahn', 'Schlagfläche', 'Schlagflächenstellung']]
df_sorted_filtered.rename(columns={'Schlägerart': 'Club', 'Schl_gsch_mph': 'Club Speed', 'Carry-Distanz' : 'Carry Distance', 'Schwungbahn': 'Club Path', 'Schlagfläche' : 'Face Angle', 'Schlagflächenstellung' : 'Face to Path'}, inplace=True)
print(df_sorted_filtered)


Output:

Club Club Speed Carry Distance Club Path Face Angle Face to Path
30 Lob-Wedge 67.779147 68.842956 -3.89 4.12 8.01
31 Lob-Wedge 67.712039 58.803586 5.71 20.79 15.08
1 Sandwedge 62.611826 76.651350 -1.75 -0.25 1.50
2 Sandwedge 62.007853 60.411199 2.02 -2.80 -4.82
3 Sandwedge 67.197544 93.361768 6.17 -5.94 -12.11

Continue reading...