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data_hist.py
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data_hist.py
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import ast
import os
import numpy as np
import matplotlib.pyplot as plt
import pickle
from pathlib import Path
def histedges_equalN(x, nbin):
npt = len(x)
return np.interp(np.linspace(0, npt, nbin + 1),
np.arange(npt),
np.sort(x))
if __name__ == "__main__":
media_file = "pages_final_vidush.txt"
# with open(media_file,'r', encoding="utf8") as file:
# i = 1
# sell_prices = []
# for line in file:
# print(i)
# data_dict = ast.literal_eval(line)
# sell_prices.append(int(data_dict['sell_price_adjusted']))
# i += 1
# sell_prices = np.array(sell_prices)
# np.save('sell_prices',sell_prices)
sell_prices = np.load('sell_prices.npy')
print(sell_prices)
n, bins, patches = plt.hist(sell_prices, histedges_equalN(sell_prices, 10))
print(bins)
plt.hist(sell_prices, histedges_equalN(sell_prices, 10))
plt.show()
# artist_num_of_works = {}
# with open(media_file,'r', encoding="utf8") as file:
# i = 1
# for line in file:
# print(i)
# data_dict = ast.literal_eval(line)
# artist_name = data_dict['artist']
# artist = ''
# for c in artist_name:
# if c == '(':
# break
# else:
# artist += c
# artist = artist[:-1]
# print(artist)
# i += 1
# if artist in artist_num_of_works.keys():
# artist_num_of_works[artist] += 1
# else:
# artist_num_of_works[artist] = 1
# with open('artist_dict.pkl', 'wb') as pickle_file:
# pickle.dump(artist_num_of_works, pickle_file, protocol=4)
# with open('artist_dict.pkl', 'rb') as pickle_load:
# artist_num_of_works = pickle.load(pickle_load)
# artist_num_of_works.pop('')
# # artist_num_of_works.pop('William')
# max_works_artist, value = max(artist_num_of_works.items(), key = lambda p: p[1])
# print((max_works_artist,value))