komanawa.nz_depth_to_water.get_data#
created matt_dumont on: 11/30/24
Functions#
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copy the geotifs of distance to nearest [1|10] points and number of points within [1|5|10|20] km to the outdir. |
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Export the depth to water data to csv files. |
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Get the distance to the nearest [1|10] points for each point in the model grid. |
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Get the metadata string for a key. |
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Get the metadata keys for the depth to water data for New Zealand. |
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Get the netcdf dataset for the depth to water data for New Zealand. |
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Get the number of points within [1000 | 5000 | 10,000 | 20,000] m of each point in the model grid. |
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Get the depth to water data for New Zealand. |
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Get the water level keys for the depth to water data for New Zealand. |
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Get the metadata string for the depth to water data for New Zealand. equivalent to ncDump |
Module Contents#
- copy_geotifs(outdir)[source]#
copy the geotifs of distance to nearest [1|10] points and number of points within [1|5|10|20] km to the outdir.
- Parameters:
outdir – directory to copy the geotifs to.
- Returns:
- export_dtw_to_csv(outdir, source=None, convert_wl_dtw_flag=False, wl_water_elev_flag=False)[source]#
Export the depth to water data to csv files.
- Parameters:
outdir – str, the directory to save the csv files to.
source – None (get all data), str (get data from a specific source) see get_nz_depth_to_water for acceptable sources.
- Returns:
- get_distance_to_nearest(npoints)[source]#
Get the distance to the nearest [1|10] points for each point in the model grid.
- Parameters:
npoints – int, the number of points to consider.
- Returns:
distance(m), mx, my (np.ndarray, np.ndarray, np.ndarray) gridded output
- get_metadata_string(key) str[source]#
Get the metadata string for a key.
- Parameters:
key – str, the key to get the metadata string for. or None (dataset metadata)
- Returns:
str, the metadata string.
- get_metdata_keys() list[source]#
Get the metadata keys for the depth to water data for New Zealand.
- Returns:
list, the metadata keys.
- get_nc_dataset(to_path=None, rewrite=False) pathlib.Path[source]#
Get the netcdf dataset for the depth to water data for New Zealand.
- Parameters:
to_path – str, optional, the path to save the dataset to. if None then saves to temp directory and returns the dataset path. This behavior prevents overwriting the original data.
- Returns:
nc.Dataset
- get_npoint_in_radius(distlim)[source]#
Get the number of points within [1000 | 5000 | 10,000 | 20,000] m of each point in the model grid.
- Parameters:
distlim – int, the distance limit in meters.
- Returns:
ndatapoints, mx, my (np.ndarray, np.ndarray, np.ndarray) gridded output
- get_nz_depth_to_water(source=None, convert_wl_dtw_flag=False, wl_water_elev_flag=False, ncdataset_path=None)[source]#
Get the depth to water data for New Zealand.
acceptable_sources = (None, ‘auk’, ‘bop’, ‘gdc’, ‘hbrc’, ‘hrc’, ‘mdc’, ‘nrc’, ‘ncc’, ‘orc’, ‘src’, ‘trc’, ‘tdc’, ‘wc’, ‘gwrc’, ‘wcrc’, ‘nzgd’, ‘ecan’)
- Parameters:
source – None (get all data), str (get data from a specific source)
convert_wl_dtw_flag – bool, if True then convert the wl_dtw_flag to a string.
wl_water_elev_flag – bool, if True then convert the wl_water_elev_flag to a string.
ncdataset_path – str, optional, the path to the netcdf dataset to use. if None then uses the default path stored in the repo. This provides a mechanism to access a higher precision dataset, which is available on request (it is too large to host in the github repo).
- Returns:
metadata: pd.DataFrame, water_level_data: pd.DataFrame