appliedchemlabwork_tayra.D3 package

Module contents

The D3 experiment analysis.

Module Functions

estimate(slope, intercept, df)	Estimates the length of the DNA from the line data.
find_boxes(filepath, save_to[, fsave])	Find bands as bounding boxes.
plot_dna(bdata[, style])	Plots the data from the DataFrame and returns the linear regression result.
SuperWindow(parent, flags)	The main window of the GUI tools.

class appliedchemlabwork_tayra.D3.SuperWindow(parent: QWidget | None = None, flags: WindowType = <WindowType.Window: 1>)

Bases: QMainWindow

The main window of the GUI tools.

Parameters:

parentQWidget | None

The parent widget.

flagsWindowType | None

The flags.

Attributes:

file_sourceQLineEdit

The text box for the file path to the source image.

result_locationstr | None

The result output location.

pick_source_btnQPushButton

The file picking button to open the source image.

start_btnQPushButton

The button to start detection process.

imgQImage

The image on the window.

Methods

__init__(parent=None,flags=…)	Initializes the class.
createWindowContents()	Creates the window main contents.
pick_file()	Picks the file.

createWindowContents()

Creates the window’s main contents.

This method defines the window’s CentralWidget contents.

file_source: QLineEdit

img: QImage

pick_file()

pick_source_btn: QPushButton

result_location: str | None

start_btn: QPushButton

appliedchemlabwork_tayra.D3.estimate(slope: floating[Any] | float, intercept: floating[Any] | float, df: DataFrame) → DataFrame

Estimates the length of the DNA from the line data.

Parameters:

slopefloating number

The slope of the line.

interceptfloating number

The intercept of the line.

dfDataFrame

The table data.

Returns:

dfDataFrame

Modified DataFrame object.

appliedchemlabwork_tayra.D3.find_boxes(filepath: str, save_to: str, fsave: str = './runs/detect/predict')

Find bands as bounding boxes.

Parameters:

filepathstr

The path to the image file containing the DNA electrophoresis bands.

save_tostr

The directory to save the data.

fsavestr, optional

The directory to save the result.

Returns:

dataList of Results

The list of the results.

Raises:

FileNotFoundError

The image file was not found.

appliedchemlabwork_tayra.D3.plot_dna(bdata: DataFrame, style: str = 'default') → tuple[_Float1D, _Float1D]

Plots the data from the DataFrame and returns the linear regression result.

Parameters:

bdataDataFrame

The DataFrame of the bands of DNA ladder.

styleValid MatplotLib style

The plotting style.

Returns:

coeffsArray in shape (2,)

The coefficients.

errArray in shape (2,)

The standard errors.

Notes

The bdata parameter must be the following shape.

Length / bp	Location
12345	89.07
…	…