Metadata-Version: 2.1
Name: pylake
Version: 0.0.8
Summary: pylake
Home-page: https://github.com/hugocruzz/pylake
Author: Hugo Cruz
Author-email: <huggcruzz@gmail.com>
License: MIT
Description: # PyLake
        
        This work present methods used to compute meaningful physical properties in aquatic sciences.
        
        Multi-dimensional array (time and depth) are compatible.
        
        Algorithms and documentation are inspired by LakeAnalyzer in R (https://github.com/GLEON/rLakeAnalyzer)
        
        Implemented methods:
        * Thermocline
        * Mixed layer
        * Metalimnion extent (top metalimnion and bottom metalimnion)
        * Wedderburn Number
        * Schmidt stability
        * internal energy
        * Seiche periode
        * Lake Number
        * Brunt-Vaisala frequency
        * Average layer temperature
        
        Future updates:
        * Data check and comparison with other sources
        * Xarray based algorithms for spatial data compatibility
        * Thermocline uses a smoothing algorithm (savgol filter) to correct the variability in vertical resolution. This method is temporary and need to be replaced.
        * Mixed layer interpolation need to be optimized, set as parameter for now
        
        ## Installation
        
        `pip install pylake`
        
        ## Usage
        ```python
        import pylake
        import numpy as np
        
        temp = np.array([14.3,14,12.1,10,9.7,9.5])
        depth = np.array([1,2,3,4,5,6])
        hypolimnion, epilimnion = pylake.metalimnion(temp, depth)
        ```
Keywords: python,pylake,Lake analyzer,environmental data,Physical properties
Platform: UNKNOWN
Description-Content-Type: text/markdown
