import numerapi
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np

napi = numerapi.NumerAPI()

df_lb = pd.io.json.json_normalize(napi.get_leaderboard(limit=300))
rep_stack = np.zeros((len(df_lb.date.values),0))
for uu in df_lb.username.values:
    df = pd.io.json.json_normalize(napi.daily_user_performances(uu), sep="-")
    if not len(df.reputation.values) == rep_stack.shape[0]:
        print('Skipping',uu,'|',len(df.reputation.values),'-',rep_stack.shape[0])
    else:
        rep_stack = np.column_stack((rep_stack,df.reputation.values))

plt.plot(df.date.values,np.mean(rep_stack,axis=1),'-',label='top300')
plt.xlim(pd.Timestamp.today()-pd.Timedelta(days=100),pd.Timestamp.today())
plt.legend(loc='upper left')
plt.gcf().autofmt_xdate()
plt.show()