October 2015
Beginner
200 pages
3h 56m
English
book
Learning IPython for Interactive Computing and Data Visualization, Second Edition
by Cyrille Rossant
Content preview from Learning IPython for Interactive Computing and Data Visualization, Second EditionBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Computing with NumPy arrays
We now get to the substance of array programming with NumPy. We will perform manipulations and computations on ndarrays.
Let's first import NumPy, pandas, matplotlib, and seaborn:
In [1]: import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns %matplotlib inline
We load the NYC taxi dataset with pandas:
In [2]: data = pd.read_csv('../chapter2/data/nyc_data.csv', parse_dates=['pickup_datetime', 'dropoff_datetime'])
We get the pickup and dropoff locations of the taxi rides as ndarrays, using the .values attribute of pandas DataFrames:
In [3]: pickup = data[['pickup_longitude', 'pickup_latitude']].values dropoff = data[['dropoff_longitude', 'dropoff_latitude']].values pickup ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.