In [1]:

    

from pydelft import grd, dep
import matplotlib.pyplot as plt
import numpy as np
import sys 
import os
%matplotlib inline


    

In [2]:

    

gfname = '../test_data/natori_10_v1.0.grd'
dfname = '../test_data/natori_10_v1.0.dep'


    

In [3]:

    

grd_fname = None

f = open(dfname, 'r')
lines = f.readlines()

if '\t' in lines[0]:
    delimiter = '\t'
else:
    delimiter = 'space'
print('Delimiter = %s' % delimiter)


z = []

if delimiter != 'space':
    for line in lines:
        for s in line.split('%s' % delimiter):
            z.append(float(s))
else:
    for line in lines:
        for s in line.split():
            z.append(float(s))

# Reshape depth
if grd_fname:
    grid = grd.grd()
    grid.read_grd(grd_fname)
    z = np.ma.masked_equal(z, -999.)
    z = np.ma.compressed(z)
    z = np.reshape(z, (grid.m, grid.n))
else:
    if delimiter != 'space':
        z = np.reshape(z, (np.size(lines),
            np.size(line.split('%s' % delimiter))))
        z = z[:-1, :-1] # get rid of -999. Nans
        z = np.reshape(z, (np.size(lines)-1, np.size(line.split())-1))

        z = z[:-1, :-1] # get rid of -999. Nans
    else:
        a = np.where(np.array(z) == -999.)
        cols = np.max(np.ediff1d(a))
        rows = np.size(np.array_split(a[0],np.where(np.diff(a[0])!=1)[0]+1))+1
        z = np.reshape(z, (rows, cols))


    

    




Delimiter = space

In [4]:

    

grid = grd.grd()
depth = dep.dep()

grid.read_grd(gfname)
depth.read_dep(dfname)


    

In [6]:

    

depth.depth.shape


    

    
Out[6]:





(326, 975)

In [7]:

    

grid.x.shape


    

    
Out[7]:





(325, 974)

In [9]:

    

depth.depth[0]


    

    
Out[9]:





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In [ ]: