Show the progression of a Kaggle leader board distribution over time

kaggle_lb_score.py

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
sns.set()

scores = pd.read_csv('liberty-mutual-group-property-inspection-prediction_public_leaderboard.csv')

scores['SubmissionDate'] = [time.date() for time in scores['SubmissionDate'].astype('datetime64[ns]')]
scores['SubmissionDate'] = [time for time in scores['SubmissionDate'].astype(str)]

cum_date = []

min_score = 0.30
max_score = 0.40

for e, d in enumerate(scores['SubmissionDate'].unique()):
  cum_date.append(d)
  lb = scores.loc[scores['SubmissionDate'].isin(cum_date)].groupby('TeamName').min()
  plt.hist(lb[(lb.Score < max_score) & (lb.Score > min_score)].Score.values,np.linspace(min_score,max_score,101), color='b')
  plt.xlim((min_score,max_score))
  plt.ylim((0,200))
  plt.title(d)
  plt.savefig('figs/{:03d}.png'.format(e))
  plt.show()