semvec/pypi-packages huggingface dataset:
axio2zarr 0.2.6
AXIOSCAN to Zarr conversion
Requires Python: >=3.9

# AXIO to Zarr converter


Convert AXIOSCAN dataset to Zarr.

NOTE: only those AXIOSCAN datasets with SCMYX dimensions where S=1 are supported at the moment.

## Install

```
pip install axio2zarr
```

### Requirements

* aicspylibczi
* click
* dask
* numpy
* xarray
* zarray
## Usage

### From Python script

```
from axio2zarr import axio2zarr

axio2zarr(input_path, output_path)
```

### From command line

```
axio2zarr input_path output_path
SWaN-accel 1.18
A pacakge to classify sleep-wear, wake-wear, and non-wear in accelerometer dataset.
Requires Python: >=3.6

# SWaN_accel package

This is an algorithm to distinguish between sleep-wear, wake-wear, and non-wear in accelerometer dataset. 

To install the package, use the following pip command:
### pip install swan_accel

To import the two relevant methods from the package, type:
### from SWaN_accel import swan_first_pass, swan_second_pass

To run swan first pass algorithm:
### swan_first_pass.main(df=dataframe object, file_path=path for output file,sampling_rate=sampling rate of data)

To run swan second pass algorithm
### swan_second_pass.main(day_folder=path of the date folder, debug="No")