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Matplotlib 2.x By Example
book

Matplotlib 2.x By Example

by Nikhil Borkar, Allen Yu, Christopher Shoe, Claire Chung, Aldrin Yim
August 2017
Beginner to intermediate
334 pages
8h 22m
English
Packt Publishing
Content preview from Matplotlib 2.x By Example

The pandas way

Similar to Numpy, pandas offers an easy way to load text files into a pandas dataframe:

import pandas as pdpd.read_csv(usecols=1)

Here the separation can be denoted by either sep or delimiter, which is set as comma , by default (CSV stands for comma-separated values).

There is a long list of less commonly used options available as to determine how different data formats, data types, and errors should be handled. You may refer to the documentation at http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html. Besides flat CSV files, Pandas also has other built-in functions for reading other common data formats, such as Excel, JSON, HTML, HDF5, SQL, and Google BigQuery.

To stay focused on data visualization, ...

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Publisher Resources

ISBN: 9781788295260