Python Data Analysis Initial (i)

Base Library

A data Analysis library for Pandas:python (pip install pandas)

Seaborn: Data visualization (pip install Seaborn)

SCIPY: Numerical calculation library (pip install scipy)

• SciPy (pronounced "sigh Pie") is an open source mathematical, scientific, and engineering computing package. It is a convenient, easy-to-use, scientific and Engineered Python toolkit that includes statistics, optimization, integration, linear algebra modules, Fourier transforms, signal and image processing, ordinary differential equation solvers, and more.

Matplotlib: Data visualization (pip install matplotlib)

• matplotlib is a Python graphics framework, similar to the MATLAB and R languages. It is Python's most famous drawing library, which provides a complete set of command APIs similar to those of MATLAB, making it ideal for interactive mapping. It can also be easily used as a drawing control, embedded in GUI applications.

Sklearn: Modeling, Scientific Computing Library (pip install Scikit-learn)

• Scikit-learn is a python-based machine learning module based on BSD open source licensing. The basic functions of scikit-learn are mainly divided into six parts, classification, regression, clustering, data dimensionality reduction, model selection, data preprocessing.

NumPy: linear algebra, vector matrix, etc., Scientific Operations Library (PIP install numpy)

• The NumPy(Numeric python) system is an open-source numerical extension of Python, a scientific computing package implemented in Python. It provides a number of advanced numerical programming tools, such as matrix data types, vector processing, and sophisticated operations libraries. Designed for rigorous digital processing. The content includes: 1, a powerful n-dimensional array object array;2, a relatively mature (broadcast) function library, 3, for the integration of C/D and Fortran Code Toolkit, 4, Practical linear algebra, Fourier transform and random number generation function. NumPy and sparse matrix Operations pack scipy are more convenient to use.

Windows environment can be downloaded to http://www.lfd.uci.edu/~gohlke/pythonlibs/installation

Tools

Ipython Notebooks:python as an important tool for teaching, computing and scientific research

Pip install Ipythonpip Install "Ipython[notebook]"

Access command: Ipython notebook

Four decimal points

The four-digit (quartile), that is, the statistics, all the values from small to large and divided into four equal parts, at three points in the position of the value is four-digit.

Example:

First determine the position of the four-bit: (n indicates the number of items)

• Position of Q1 = (n+1) x0.25
• Position of Q2 = (n+1) x0.5
• Position of Q3 = (n+1) x0.75

There are different methods for determining the four-bit number, and the other is based on the N-1 basis. That

• Q1 's position =1+ (n-1) x 0.25
• Q2 's position =1+ (n-1) x 0.5
• Q3 's position =1+ (n-1) x 0.75

There are two four-digit functions in Excel. Quartile. EXC and Quartile.inc

Python Data Analysis Initial (i)