pyacs.lib.utils module

Various useful routines

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


Converts a structured array (with homogeneous dtype) to a np.array

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.

  • A – 2D numpy array to be saved

  • S – 1D numpy string array. S.ndim = A.shape[0]

  • fmt – format for printing

  • outfile – out file


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’)

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

  • 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.


the grid as 2D numpy array


Converts a list provided as a string to a true list of float


my_str – string e.g. ‘[0,2.5,1E9]’