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Jupyter Cookbook
book

Jupyter Cookbook

by Toomey, Nikhil Borkar, Nikhil Akki, Juan Tomás Oliva Ramos
April 2018
Beginner content levelBeginner
238 pages
7h 13m
English
Packt Publishing
Content preview from Jupyter Cookbook

How to do it...

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 ...
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Publisher Resources

ISBN: 9781788839440Supplemental Content