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histogramy 0.1.5

A small program to analysis 1 dimensional data


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.



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



1.  You have to install [Python][]. Follow the instruction at

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

    1.  numpy:
    2.  matplotlib:

3.  Now, you can install Histogramy with [pip][] or [easy_install][].
    [scikit-learn][] will be installed automatically when you install

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

        -   pip:
        -   easy_install:

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

        pip install histogramy


        easy_install histogramy



    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:
        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
                            The maximum number classifiers to simulate the fitting
    --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
    --max-threshold MAX   Maximum threshold. Value grater than this will be
    --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
File Type Py Version Uploaded on Size
histogramy-0.1.5.tar.gz (md5) Source 2013-01-29 454KB
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