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)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| canalyse-0.0.6-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Release files / canalyse-0.0.6-py2.py3-none-any.whl
| Download URL | canalyse-0.0.6-py2.py3-none-any.whl |
|---|---|
| Size | 8.8 kB |
| Tags | Python 2 Python 3 |
|
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