Delft 3D Timestep to Seconds Function #155
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* changing path to data following organizational update * Reorganized headers Co-authored-by: rpauly18 <[email protected]> Co-authored-by: rpauly18 <[email protected]>
ssolson
reviewed
Mar 3, 2022
mhkit/river/io/d3d.py
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| except: | ||
| idx = (np.abs(times - time_stamp)).argmin() | ||
| QoI= idx | ||
| print(f'ERROR: invalid time_stamp. Closest time_stamp found {times[idx]}') |
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no underscore in time stamp.
Include the last day of the year when using years parameter. Fixes MHKiT-Software#154.
…ware#161) * Bug fix: remove timezone replace for astimezone * add pytz to required packages
* Plot each col in DataFrame individually * Remove numpy and pandas version requirements
* Working version of Gaussian Copula * Create dedicated function for iso probs and quantiles * Contour plots worsk for single and multiple contours * Gumbel Copula. * Clayton Copula * Rosenblatt Copula * Guass and gumbel general copula * Add support for nonparametric gaussian, clayton, and gumbel copulas * Require statsmodel for nonparametric KDE copulas * Small changes * Fix bug in KDE log transformation * Adding docstrings * All doc strings updated * Add markers option to contours plotting * Add Copula tests comparing to WDRTresults * Fix x1, x2 pts bug in KDE contour, clean up * Example showing the calculation of all copla methods and comparing to WDRT results * Simplifications and lanuguage cleanup * Add statsmodel * Add testing data files * In plot envrionmental contors convert x1,x2 to values if a Series is passed * Docstring typo corrections * Corrected notebook description typos. * module and example for short-term extreme distributions * docstrings for short-term extreme functions * fixes MHKiT-Software#140 Speedup surface elevation calculation. * correction to surface_elevation * elevation * minor fixes based on review comments * add environmental_contours to init * Remove WDRT functionality * All WDRT contour functionality can be called from one function * Rework tests for new contour functions setup and location * Move all contour example into this file * Update to work with new structure. * Remove all commented out wdrt functions from resource * No changes made. Reverting back. * Have PCA method use general fit. Adds PCAmethod to fit method but can also accept the PCA dictionary. General Docstring Cleanup * Update discussion around the use of the copula method. * Remove copula stand alone notebook * minor formmating changes * Remove test bugs created from merge with origin * Import env contours into resource module and adjust test, examples, ect to function with tthe new structure * Uncommented tests * Remove reference to import the env contours module * fixing minor typo * Move env contours to _file and adjust package to handle new structure * Minor formatting cleanup * Cleanup unsed packages and variables * intial mler upload * formalize functions * add tests and example * sampling rate to averaging period * rename MLER example * working * merging * WDRT functions and examples finalized. Missing tests. * integrate mler into extreme * fixes tests? * fix tests * fix tests * fix full sea state example? * test contour samples * test sample full seastate * random seed * test long term extreme * expand MLER functionality * test short-term extremes * fix mler tests * MLER test error * mler fix 2 * update formats and asserts * further cleanup of countours.py for consistency, typos, and pep8 * run tests? * fix test? * change lists to np.array so they pass the assert statements * clean extreme.py for consistency, pep8 * points_per_interval should be int * typing in examples * full sea state example: make it easier to follow, add more explanation, and use consistent naming * contour example: make it easier to follow, add more explanation, and use consistent naming * Alias ste function and minor formatting. * naming convention * rename example * ste example * allow weights to be np.array * allow weights to be np.ndarray Co-authored-by: ssolson <[email protected]> Co-authored-by: ssolson <[email protected]> Co-authored-by: rpauly18 <[email protected]> Co-authored-by: hivanov-nrel <[email protected]>
* input output files + testing * Code update * Test reformatting * Testing paths * dependency switch from h5netcdf to netcdf4 * Code cleanup * Test import fix * Minor docstring edits * Add dolfyn test data * Test fixes for mhkit * Removing uneeded test files, improving consistency * Not sure why these files didn't upload * Organizational changes and clarifications. Request for additional clarification * Dolfyn codebase updates * Dolfyn example notebooks update * Testing updates * Update example datafile * Latest dolfyn v0.13.0 updates * Name change * input output files + testing * Code update * Organizational changes and clarifications. Request for additional clarification * Dolfyn codebase updates * fix bug and make faster. Un-hard-code default seed/phase. * fix tests * delete commented out tests * retrigger checks * Checkpoint push * New dolfyn data files * Reorganize dolfyn testing * pytest install for warnings tests * Final update for IO * Remove future updates * Ensure file compression runs * Update numpy dependency * trying numpy v1.22 * changing numpy requirements * Remake unittest test cases * Save format options * Add dolfyn view to notebooks * Decode remaining binary ad2cp variables * DOLfYN 1.0.0 dependency Co-authored-by: jmcvey3 <[email protected]> Co-authored-by: ssolson <[email protected]> Co-authored-by: Michelen <[email protected]> Co-authored-by: jmcvey3 <[email protected]> Co-authored-by: rpauly18 <[email protected]>
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Superceeded by #168 |
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Adding on to the PR #
Delft3D io functionsthis PR outputs the time output based on the time step in functionconvert_time,d3d. get_layer_dataandd3d.get_all_data_points. A function to get all timestamps 'get_all_timestamps' will return an array of all the timestamps for a data set.Additions:
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get_all_timestamps: inputs netcdf4 dataframe and returnas all the time stamps for that data set-
convert_time: converts atime_indexto atime_stampin seconds or vice versaChanges in 'get_layer_data`
z:z=[bottom_depth*Layer_percentages[layer_index]]-water_levelChanges in 'get_all_data_points`
zis pulled from 'get_layer_data` and takes into account water level