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Canalyse

Analyse CURP result.

Install

Canalyse require python 3.6 or more upper version.

pip install canalyse

Usage

as a CLI

Verify statistical quantity of data

The variance should be grater than:

canalyse conductivity --quantity=variance --grater-than 2.0e-5 conductivity.dot

The variance should be less than:

canalyse conductivity --quantity=variance --less-than 2.0e-4 conductivity.dot

You can use --quantity option:

Option description
variance variance of data
average average of data
std standard deviation of data

as a Python package

from canalyse.parser import (
    ConductivityParser,
    ConductivityFormatter
)

conductivity_file = "conductivity.dot"
parser = ConductivityParser()
df = parser.run(conductivity_file)
formatter = ConductivityFormatter()
new_df = formatter.run(df)

and you can see the frame of new_df :

      source     target  conductivity  source_number source_residue  target_number target_residue
0  00001_MET  00036_PHE      0.017448              1            MET             36            PHE
1  00001_MET  00005_GLU      0.021499              1            MET              5            GLU
2  00001_MET  00004_ASP      0.012439              1            MET              4            ASP

Metadata

Release files for canalyse 0.0.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for canalyse 0.0.6
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