#!/usr/bin/python
import os
import pandas as pd
from sklearn.datasets import fetch_openml
import matplotlib
import matplotlib.pyplot as plt
HOUSING_URL = "https://github.com/ageron/handson-ml/blob/master/datasets/housing/housing.tgz"
HOUSING_PATH = "c:\\datasets\\housing\\"
def load_housing_data(housing_path=HOUSING_PATH):
csv_path = os.path.join(housing_path, "housing.csv")
return pd.read_csv(csv_path)
if __name__ == "__main__":
mnist = fetch_openml('mnist_784')
X, y = mnist["data"], mnist["target"]
some_digit = X[36000]
some_digit_image = some_digit.reshape(28, 28)
plt.imshow(some_digit_image, cmap=matplotlib.cm.binary, interpolation="nearest")
plt.axis("off")
plt.show()
print(y[36000])