groundwater_chem_data_explorer | simple python script for processing

by NumericalEnvironmental Python Version: Current License: No License

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kandi X-RAY | groundwater_chem_data_explorer Summary

groundwater_chem_data_explorer is a Python library. groundwater_chem_data_explorer has no bugs, it has no vulnerabilities and it has low support. However groundwater_chem_data_explorer build file is not available. You can download it from GitHub.

This Python 2.7 script uses pandas, scikit-learn, and scipy to process groundwater quality data sets from California's Groundwater Ambient Monitoring and Assessment (GAMA) database. These data sets are large text files and must be downloaded from the GAMA website. The script requires the numpy, scipy, pandas, and sklearn libraries. Background discussion is provided at: A slidehsare summary is provided at: I'd appreciate hearing back from you if you find the script useful. Questions or comments are welcome at walt.mcnab@gmail.com. THIS CODE/SOFTWARE IS PROVIDED IN SOURCE OR BINARY FORM "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

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Support

groundwater_chem_data_explorer has a low active ecosystem.

It has 3 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

groundwater_chem_data_explorer has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of groundwater_chem_data_explorer is current.

Quality

groundwater_chem_data_explorer has no bugs reported.

Security

groundwater_chem_data_explorer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

groundwater_chem_data_explorer does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

groundwater_chem_data_explorer releases are not available. You will need to build from source code and install.

groundwater_chem_data_explorer has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed groundwater_chem_data_explorer and discovered the below as its top functions. This is intended to give you an instant insight into groundwater_chem_data_explorer implemented functionality, and help decide if they suit your requirements.

Return a list of tuples for Gama .
Extract chemical data from analytes .
Compute the principal components of the given PCA set .

Get all kandi verified functions for this library.

groundwater_chem_data_explorer Key Features

No Key Features are available at this moment for groundwater_chem_data_explorer.

groundwater_chem_data_explorer Examples and Code Snippets

No Code Snippets are available at this moment for groundwater_chem_data_explorer.

Community Discussions

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Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install groundwater_chem_data_explorer

You can download it from GitHub.
You can use groundwater_chem_data_explorer like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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