More datasets can be found at the UCI website

Practice loading CSV files into Python using the CSV.reader() function in the standard library
Practice loading CSV files using NumPy and the numpy.loadtxt() function
Practice loading CSV files using Pandas and the pandas.read_csv() function



In [84]:

    
# Load CSV using Pandas from URL
import pandas

url = "https://archive.ics.uci.edu/ml/machine-learning-databases/pima-indians-diabetes/pima-indians-diabetes.data"
names = ['preg', 'plas', 'pres', 'skin', 'test', 'mass', 'pedi', 'age', 'class']

data = pandas.read_csv(url, names=names)

print(data.shape)



In [83]:

    
# Load the data into a numpy array
import numpy as np
import requests

url = "https://archive.ics.uci.edu/ml/machine-learning-databases/pima-indians-diabetes/pima-indians-diabetes.data"
file = requests.get(url)
    
data = np.loadtxt(file.iter_lines(), delimiter=',')

print(data.shape)