pyTMD

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Windows builds

2

Fixing the GDAL issues with Windows Creating a working windows test build in GitHub actions

tsutterley

Automated changes by [create-pull-request](https://github.com/peter-evans/create-pull-request) GitHub action

github-actions[bot]

Error on import

2

Hello, just to let you know that, installing from conda and trying to run the "Plot Tidal Forecasts at a Location" example, the pyTMD.tools module is not found. Trying to...

Alerovere

Inconsistency between GDAL and PROJ dependencies

4

Hi, I am trying to install **pyTMD** by the source code on a conda environment, but I am having some problems with the dependencies of the project. First, I created...

JoaoLopez

switching to camel case and flake8 styling

1

tsutterley

nearest_extrap.py cuts model grid independent of cutoff distance

3

Hi, I found a bug in nearest_extrap.py. This program shall find the nearest model data for locations where the model grid itself is NaN. To specify the search range, you...

ludwigus

read_FES_model.py: explicit definition of hc.mask fails on NaN fill_value

1

Hi, in `read_FES_model.py` at the very end of `read_netcdf_file` you explicitly set the mask using `hc.mask = (amp.data == amp.fill_value) | (ph.data == ph.fill_value)` However, this doesn't work if fill_value...

ludwigus

Can the interpolation range be limited in advance to improve program efficiency?

3

It's very slow when I use the program to read TPXO9-atlas-v5 and compute tidal elevations. So I check the profile of the code and found that the most time-consuming function...

lyingTree

Optimization of `compute_tide_corrections` with `FES2014` for multiple lat/lons

4

First of all, congrats @tsutterley on an incredible package... such an amazing resource! I've been looking into using `pyTMD` for modelling tide heights from `FES2014` for our [DEA Coastlines](https://github.com/GeoscienceAustralia/dea-coastlines) coastline...

robbibt

Weird behaviour in bilinear_interp.py

3

Issue one: np.nonzero returns a tuple of 2 np.array to represent the indices. in line 63 of bilinear_interp.py, there is an extra , behind the assignment. This causes the output...

tommy307507