December 2015
Beginner to intermediate
202 pages
4h
English
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Creating a Pandas DataFrame from a CSV file
With many datasets provided in the CSV format, creating a Pandas DataFrame from a CSV file is one of the most common methods.
How to do it…
- To create a Pandas DataFrame from a CSV file, we begin by importing the Python libraries. For this, use the following command:
import pandas as pd
- Next, we will define a variable for the accidents data file as follows:
accidents_data_file = '/Users/robertdempsey/Dropbox/private/Python Business Intelligence Cookbook/Data/Stats19-Data1979-2004/Accidents7904.csv'
- Next, we create a DataFrame from the data using the following code:
accidents = pd.read_csv(accidents_data_file, sep=',', header=0, index_col=False, parse_dates=True, tupleize_cols=False, error_bad_lines=False, warn_bad_lines=True, ...
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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.
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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.