Pandas Numpy and Matplotlib

I have created demo code with Jupyter Notebook, which can be viewed here: https://github.com/marcuspaget/pythonDSFromScratch/blob/master/PandasDemo.md

Panda – Python Data Analysis Library

Quick install with:

pip install pandas

Python’s answer to R’s DataFrames for data manipulation

Providing tools to read and write data between data structures and different formats: CSV and text files, Microsoft Excel, SQL databases, and the fast HDF5 format;

Easily to manipulate, slice and dice data, with integrated indexing.

Possible to convert HDF5 to HDFS for ingestion in Hadoop

Time series-functionality:

  • Date range generation & modification
  • Frequency conversion
  • Moving window statistics
  • Join time series without losing data

Numpy – Python Number Library

pip install numpy
Create, manipulate , slice and run ops i.e std, mean, min, max, etc
Please see link at top for examples

Matplotlib – Python plotting and figures

pip install matplotlib
Graph data from lists, dataframes, etc.

For example:


Matplotlib output example

I have created demo code with Jupyter Notebook, which can be viewed here: https://github.com/marcuspaget/pythonDSFromScratch/blob/master/PandasDemo.md

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