February 2018
Beginner to intermediate
364 pages
10h 32m
English
Content preview from Python Web Scraping Cookbook
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How to do it
This is a very simple task to perform with pandas. The code of the example is in 08/03_visualize_wikipedia_edits.py.
- The code begins by importing pandas and matplotlib.pyplot:
>>> import pandas as pd>>> import matplotlib.pyplot as plt
- The data file we created in the previous recipe is already in a format that can be read directly by pandas. This is one of the benefits of using JSON as a data format; pandas has built-in support for reading and writing data from JSON. The following reads in the data using the pd.read_json() function and displays the first five rows on the console:
>>> df = pd.read_json("geo_ips.json")>>> df[:5])city country_code country_name ip latitude \0 Hanoi VN Vietnam 118.70.248.17 21.0333 1 Roskilde DK ...
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