PyKrige | Kriging Toolkit for Python

by GeoStat-Framework Python Version: 1.7.1 License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | PyKrige Summary

PyKrige is a Python library. PyKrige has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install PyKrige' or download it from GitHub, PyPI.

Kriging Toolkit for Python.

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Quality

Security

License

Reuse

Support

PyKrige has a low active ecosystem.

It has 628 star(s) with 177 fork(s). There are 37 watchers for this library.

There were 1 major release(s) in the last 12 months.

There are 26 open issues and 125 have been closed. On average issues are closed in 149 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of PyKrige is 1.7.1

Quality

PyKrige has 0 bugs and 0 code smells.

Security

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

PyKrige code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

PyKrige is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

PyKrige releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

PyKrige saves you 3163 person hours of effort in developing the same functionality from scratch.

It has 7044 lines of code, 164 functions and 31 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Execute the Kriging algorithm
Adjusts coordinates for anisotropy
Evaluate the covariance matrix
Evaluate the loop
Execute the kriging algorithm
Return the great circle distance between two points
Evaluate loop moving window
Evaluates the covariance matrix
Execute the Universal Kriging
Calculate the z scalars of the data points
Evaluate the variogram function
Calculates the kriging matrix
Execute the Kriging operator
Execute loop moving window
Evaluates the covariance matrix
Write a zmap file
Generate a Benchmark for a set of variogram models
Execute the Ordinary Kriging algorithm
Fit the variogram
Prints a benchmark
Fit the classification model
Fit the regression model
Compute r2 score
Compute the accuracy of the model
Predict using the model
Return a function to resolve a linkcode
Validate sklearn

Get all kandi verified functions for this library.

PyKrige Key Features

No Key Features are available at this moment for PyKrige.

PyKrige Examples and Code Snippets

No Code Snippets are available at this moment for PyKrige.

Community Discussions

Trending Discussions on PyKrige

css "tooltips" for both mouse hover & keyboard focus

How do I solve jagged grids in Matplotlib?

QUESTION

css "tooltips" for both mouse hover & keyboard focus

Asked 2021-Sep-08 at 08:28

preable

I have a website where I document a list of installed pythonic libraries.

For each library, I want to have available:

The name of the library (obviously)
A link to the documentation for the library (because documentation is useful)
A brief description of the library (so people can quickly see what the library does)
The currently installed version (to stop people asking me "Are you using version x.y?")

My current solution is to use the name as the text of a link, href'd to its documentation, and accept that the version & description are supplementary information, and can be made available to the user using a tool-tip - so they can sit in a title attribute

Example:

...

ANSWER

Answered 2021-Sep-08 at 08:25

Use focus-within rather than focus

Source https://stackoverflow.com/questions/69099284

QUESTION

How do I solve jagged grids in Matplotlib?

Asked 2020-Jun-28 at 12:43

I have a problem that needs your help. Now I have a grid data. It is composed of multiple different values. The structure is shown below. actual graphics

In fact, the graph I want to get should be composed of smooth filled surface. As shown below. The graphics i want

I provided a specific data set. Please refer. Sample data set。 this dataset is in asc format defined by "surfer" software. You can use "pykrige" to read. Use the following code to render

...

ANSWER

Answered 2020-Jun-28 at 12:43

use scipy.ndimage.zoom to smooth the image. Here's I'm using smoothing with the number 5, but you can try other numbers are well.

Source https://stackoverflow.com/questions/62620571

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

Vulnerabilities

No vulnerabilities reported

Install PyKrige

PyKrige requires Python 3.5+ as well as numpy, scipy. It can be installed from PyPi with,. scikit-learn is an optional dependency needed for parameter tuning and regression kriging. matplotlib is an optional dependency needed for plotting. If you use conda, PyKrige can be installed from the conda-forge channel with,.

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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