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Pandas
{:.no_toc}
* TOC {:toc}The goal
Questions to David Rotermund
pip install pandas
Pandas
The two most important data types of Pandas are:
- Series
- Data Frames
“Pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.”
It is the basis for:
This module contains a large number of probability distributions, summary and frequency statistics, correlation functions and statistical tests, masked statistics, kernel density estimation, quasi-Monte Carlo functionality, and more.
Pingouin is an open-source statistical package written in Python 3 and based mostly on Pandas and NumPy.
rpy2 is an interface to R running embedded in a Python process.
Pandas.Series
class pandas.Series(data=None, index=None, dtype=None, name=None, copy=None, fastpath=False)
One-dimensional ndarray with axis labels (including time series).
Labels need not be unique but must be a hashable type. The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index. Statistical methods from ndarray have been overridden to automatically exclude missing data (currently represented as NaN).
Operations between Series (+, -, /, *, **) align values based on their associated index values– they need not be the same length. The result index will be the sorted union of the two indexes.