Profile

from datetime import datetime

def calc_age(DOB) :
    today = datetime.today()
    return today.year - DOB.year - ((today.month, today.day) < (DOB.month, DOB.day))

# data setting
DOB = datetime(1992, 1, 7)
age = calc_age(DOB)
work_exprience = {'NGO_Director' : 2,
                  'Marketer' : 1,
                  'DataScientist' : 1.3}
skill = {'ML' : 5,
         'DeepLearning' : 2,
         'Analysis' : 4,
         'Presentaion' : 3,
         'Communication' : 4}
language = {'python' : 5,
            'R' : 4,
            'SQL' : 2}

df_vis_tmp = pd.DataFrame.from_dict(
    work_exprience, orient='index'
).rename(columns={0:'year'})
plt.bar(df_vis_tmp.index, df_vis_tmp.year, color = ['cornflowerblue', 'lightseagreen', 'pink'])

#  drow plot
import numpy as np
import matplotlib.pyplot as plt

def make_radar_plot(target_dict, target_color) :
    label = list(target_dict.keys())
    label = [*label, label[0]]
    score = list(target_dict.values())
    score = [*score, score[0]]

    # theta
    label_loc = np.linspace(start= 0, stop= 2* np.pi, num = len(label))

    _ = plt.figure(figsize = (6, 6.))
    ax = plt.subplot(polar = True)
    _ = plt.xticks(label_loc, labels= label)
    _ = ax.plot(label_loc, score, linestyle = 'dashed', color = target_color)
    _ = ax.fill(label_loc, score, color = target_color, alpha = 0.3)
    plt.show()

    return

df_vis_tmp = pd.DataFrame.from_dict(
      work_exprience, orient='index'
  ).rename(columns={0:'year'})
  plt.bar(df_vis_tmp.index, df_vis_tmp.year, color = ['cornflowerblue', 'lightseagreen', 'pink'])

skill = {'ML' : 5,
         'DeepLearning' : 2,
         'Analysis' : 4,
         'Presentaion' : 3,
         'Communication' : 4}    
make_radar_plot(target_dict = skill , target_color = 'skyblue')

language = {'python' : 5,
            'R' : 4,
            'SQL' : 2}
make_radar_plot(target_dict = language , target_color = 'violet')