7. Pandas - IPython Notebook Tutorial
Pandas is a powerful and easy-to-use library for data analysis. We work with Series and DataFrame objects. Covering basic operation and any() all() functions for the truth about a boolean Series. Also working with apply(), astype(), and copy().
With DataFrame we talk about selection, adding columns, filtering and chaining filters with "AND &" and "OR |" gates. We also cover functions like map(), and drop() and how to control your display options from pd.options.display to control max_rows, max_columns and notebook_repr_html to control text/HTML table.
Scatter Matrix pd.scatter_matrix() to visualize all numerical data in your DataFrame. Finally we read stock prices from Google finance as a CSV file (Comma Separated Values) and do simple analysis of that.
This is open source, Github/NBViwer:
http://nbviewer.ipython.org/github/tw...
Watch video 7. Pandas - IPython Notebook Tutorial online without registration, duration hours minute second in high quality. This video was added by user Roshan 12 August 2014, don't forget to share it with your friends and acquaintances, it has been viewed on our site 20,255 once and liked it 166 people.