Skip to main content

Generate Excel files from logger data files

Project description

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.

Project details


Release history Release notifications | RSS feed

This version

0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rawdatx-0.1.zip (67.7 kB view details)

Uploaded Source

Built Distribution

rawdatx-0.1-py2.py3-none-any.whl (27.4 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file rawdatx-0.1.zip.

File metadata

  • Download URL: rawdatx-0.1.zip
  • Upload date:
  • Size: 67.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for rawdatx-0.1.zip
Algorithm Hash digest
SHA256 6fb03e8c06ac8b33023f527845131160e1ba2f31f57532ad7dda5d55982374d6
MD5 bd3e5803fc1d2df700e5c3ceab910667
BLAKE2b-256 020bf569c08cb64479f0d13693ae742514853365a7c6dd72a9245e5aa893a0eb

See more details on using hashes here.

File details

Details for the file rawdatx-0.1-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for rawdatx-0.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 9e920e53aea95fff54c1786a7adc31f04d707fe7b283b09f1e901c18fd91fefa
MD5 97132a21a30b4563c58b9496dc17d8d5
BLAKE2b-256 ec3d55927165233659a9e04af0e4e2ddc79c618e56735cb019dcdacf08543066

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page