rawdatx
rawdatx is a Python 2.7, 3.4, 3.5 converter that generates Excel xlsx files from TOA5 comma-separated text files produced by Campbell Scientific LoggerNet. Sensor input, processing instructions, and output structure are specified in a single XML Definition File that also serves as documentation.
rawdatx is available under the MIT license. The code of the project is hosted at https://github.com/cpetrich/rawdatx and packages are available on PyPI at https://pypi.python.org/pypi/rawdatx/. Documentation is available at https://rawdatx.readthedocs.org/.
Installation
The following prerequisites need to be installed:
Python 2.7, 3.4, or 3.5
numpy 1.9 or higher
xlsxwriter
optionally (recommended):
lxml
asteval
The easiest way to install rawdatx is through pip: pip install rawdatx
Alternatively, download the latest version from the repository https://github.com/cpetrich/rawdatx and install with python setup.py install.
Usage
To convert a TOA5 file to XLSX, run the following script:
import rawdatx.read_TOA5 as read_raw_data import rawdatx.process_XML as process_XML config = './config.cfg' read_raw_data.main(config) process_XML.main(config)
Input and output files are specified in an UTF-8 encoded configuration file config.cfg:
[RawData]
raw_data_path = ./raw-data/
mask = CR1000_*.dat
logger_time_zone = UTC+1
[Metadata]
Project = My project name
[Files]
xml_map_path = ./
xml_map = data_map.xml
data_path = ./
processed_data_xlsx = processed_data.xlsx
xml_dtd_out = data_map.dtd
raw_data = consolidated_raw_data.npy
processed_data_npy = processed_data.npy
The [RawData] section specifies the location of the logger input files, the [Metadata] section defines metadata entries copied into the XLSX file, and the [Files] section specifies path and file names of output and intermediate files (data_path) and input XML Definition File (xml_map_path and xml_map).
The XML Definition File (data_map.xml) may look like this:
<?xml version="1.0" encoding="UTF-8" ?>
<measurements from="2015/05/03 11:45">
<group name="Logger">
<map name="Battery Voltage" unit="V" src="Batt_V" />
<map name="Internal Temperature" unit="°C" src="T_panel" />
</group>
<group name="Weather">
<map name="Air Temperature" unit="°C" src="T_air" />
<map name="Relative Humidity" unit="%" src="RH" />
<map name="Wind Speed" unit="m/s" src="Wind_speed" />
<map name="Wind Direction" unit="°" src="Wind_direction" />
</group>
</measurements>
See also examples and test files in the repository at https://github.com/cpetrich/rawdatx.
Metadata
Release files for rawdatx 0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| rawdatx-0.1.zip | 67.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rawdatx-0.1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 95.0 kB
Release files / rawdatx-0.1.zip
| Download URL | rawdatx-0.1.zip |
|---|---|
| Size | 67.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / rawdatx-0.1-py2.py3-none-any.whl
| Download URL | rawdatx-0.1-py2.py3-none-any.whl |
|---|---|
| Size | 27.4 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |