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Short Introduction to Python,

pandas and Anaconda

(2)

Python

https://www.python.org/

Python is a open-source high-level programming

language. The goal is to have an easy understandable

syntax but also be efficient.

Users: Google, youtube

(3)

pandas

http://pandas.pydata.org/

pandas is a specialiced

Python Data Analysis

Library

(4)

Anaconda

http://docs.continuum.io/anaconda/index

“Anaconda is an easy-to-install,

free package manager, environment manager, Python distribution, and collection of over 150 open source packages with free community

support.”

(5)

Some pandas function

Tutorial: http://pandas.pydata.org/pandas-docs/stable/tutorials.html

Tutorial only data cleansing: https://data.library.utoronto.ca/cleaning-data-python

In [1]: import pandas as pd # import pandas

pd.set_option('display.mpl_style', 'default') # Make the graphs a bit prettier

read_csv function for reading CSV files, default is comma-separated, otherwise use (as in R the sep=‘ ‘ attribute in the function

In [2]: tempdata = pd.read_csv('../data/TempData.csv') rain = pd.read_csv('../data/RainData.csv')

In [3]: weatherdata = pd.merge(tempdata, rain)

In [4]: tempdata[‘AVG_TEMPERATURE’] .plot() / tempdata[‘AVG_TEMPERATURE’] .plot(kind='bar‘)

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