text_plain_output_1.png
import matplotlib.mlab as mlab

import matplotlib.pyplot as plt

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

data = pd.read_csv('../input/winemag-data_first150k.csv')

import matplotlib.mlab as mlab
num_bins = 20
n, bins, patches = plt.hist(data['points'], num_bins, normed=1, facecolor='blue', alpha=0.5)
plt.title('Distribution of Wine Scores')
plt.xlabel('Score out of 100')
plt.ylabel('Frequency')
mu = 88
sigma = 3
y = mlab.normpdf(bins, mu, sigma)
plt.plot(bins, y, 'r--')