April 2018
Beginner
238 pages
7h 13m
English
We use this script:
%matplotlib inline# import tools we are usingimport pandas as pdimport numpy as npfrom mpl_toolkits.mplot3d import Axes3Dimport matplotlib.pyplot as plt# read in the car ‘table’ – not a csv, so we need# to add in the column namescolumn_names = ['mpg', 'cylinders', 'displacement', 'horsepower', 'weight', 'acceleration', 'year', 'origin', 'name']df = pd.read_table('http://archive.ics.uci.edu/ml/machine-learning-databases/auto-mpg/auto-mpg.data', sep=r"\s+", index_col=0, header=None, names = column_names)print(df.head())#start out plotting (uses a subplot as that can be 3d)fig = plt.figure()ax = fig.add_subplot(111, projection='3d')X# pull out the 3 columns that we wantxs = []ys = []zs = []for index, row in ...