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pypm install histogramy

How to install histogramy

  1. Download and install ActivePython
  2. Open Command Prompt
  3. Type pypm install histogramy
 Python 2.7Python 3.2Python 3.3
Windows (32-bit)
Windows (64-bit)
Mac OS X (10.5+)
Linux (32-bit)
Linux (64-bit)
0.1.5 Available View build log
 
Author
License
MIT
Dependencies
Imports
Lastest release
version 0.1.5 on Jan 9th, 2014

Histogramy is a CUI program to analyze 1-dimensional data.

It draw a histogram with specified data and it also can draw the fitting curve estimated by a Gaussian Mixture Model probability distribution.

![Screenshot](https://raw.github.com/lambdalisue/Histogramy/master/static/screenshot.png)

Requirements

  • [Python][]
  • [numpy][]
  • [matplotlib][]
  • [scikit-learn][]

[Python]: http://www.python.org/ [numpy]: http://www.numpy.org/ [matplotlib]: http://matplotlib.org/ [scikit-learn]: http://scikit-learn.org/dev/index.html

Install

  1. You have to install [Python][]. Follow the instruction at http://www.python.org/getit/

  2. You also have to instal [numpy][], and [matplotlib][]. Follow the instructions below

    1. numpy: http://docs.scipy.org/doc/numpy/user/install.html
    2. matplotlib: http://matplotlib.org/users/installing.html
  3. Now, you can install Histogramy with [pip][] or [easy_install][]. [scikit-learn][] will be installed automatically when you install Histogramy

    1. Install [pip][] or [easy_install][], follow the instrcutions below

    2. Install Histogramy with the following command in Terminal (Command Prompt)

      ~~~ pip install histogramy ~~~

      or

      ~~~ easy_install histogramy ~~~

[pip]: http://www.pip-installer.org/ [easy_install]: http://pypi.python.org/pypi/setuptools

Usage

usage: histogramy [-h] [-b BINS] [-c N] [-C N] [--base BASE] [--auto-base]
[--min-threshold MIN] [--max-threshold MAX] [--covariance-type TYPE] [--min-covar MIN_COVAR] [--delimiter DELIMITER] [--encoding ENCODING] [--demo] [filenames [filenames ...]] {histogram,fit,plot} ...

positional arguments: filenames {histogram,fit,plot}

System Message: ERROR/3 (<string>, line 75)

Unexpected indentation.
histogram Show histogram data fit Show fitting data plot Create graph by matplotlib

optional arguments: -h, --help show this help message and exit -b BINS, --bins BINS It defines the number of equal-width bins. -c N, --column N A number of column in data file used for analysis -C N, --classifiers N

System Message: ERROR/3 (<string>, line 84)

Unexpected indentation.
The maximum number classifiers to simulate the fitting

System Message: WARNING/2 (<string>, line 85)

Block quote ends without a blank line; unexpected unindent.
--base BASE Base value to modulate the data
--auto-base Automatically find the base value to modulate the data
--min-threshold MIN
 Minimum threshold. Value smaller than this will be ignored
--max-threshold MAX
 Maximum threshold. Value grater than this will be ignored
--covariance-type TYPE
 Type of covariance. Default is "diag"
--min-covar MIN_COVAR
 Minimum value of covariance
--delimiter DELIMITER
 Delimiter used to parse the data file
--encoding ENCODING
 Encoding used to open the data file
--demo Use demo data to analysis

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Last updated Jan 9th, 2014

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