pyacs.lib.utils module¶
Various useful routines
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pyacs.lib.utils.numpy_array_2_numpy_recarray(A, names)[source]¶ Converts a numpy array to a numpy recarray names is the names of each field
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pyacs.lib.utils.numpy_recarray_2_numpy_array(A)[source]¶ Converts a structured array (with homogeneous dtype) to a np.array
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pyacs.lib.utils.save_np_array_with_string(A, S, fmt, outfile, comment='')[source]¶ saves a numpy array as a text file. This is equivalent to np.savetxt except that S contains strings that are added to each row.
- Parameters
A – 2D numpy array to be saved
S – 1D numpy string array. S.ndim = A.shape[0]
fmt – format for printing
outfile – out file
- Example
A = np.arange(4).reshape(-1,2) S = np.array([‘lima’,’quito’]) from pyacs.lib.utils import save_np_array_with_string save_np_array_with_string(A,S,”%03d %03d %s”,’test.dat’)
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pyacs.lib.utils.make_grid(outfile, min_lon, max_lon, min_lat, max_lat, nx=None, ny=None, step_x=None, step_y=None, format='psvelo', comment='')[source]¶ Generates a text file as a grid
- Parameters
outfile – output file name
min_lon,max_lon,min_lat,max_lat – grid bounds coordinates in decimal degrees
ny (nx) – number of points in the grid along longitude. If ny is not provided, ny=nx
step_x,step_y – step for the grid. This is an alternative to nx. If step_y is not provided, step_y=step_x
format – if format is None, then only lon, lat are written. If format=’psvelo’ (default), then the line is filled with 0. and sequentially site names
comment – comment to be added to the output file.
- Returns
the grid as 2D numpy array