Τη Δευτέρα, 3 Οκτωβρίου 2016 - 7:17:03 μ.μ. UTC+3, ο χρήστης
chrischr...@gmail.com έγραψε:
> hello
>
>
> i try to follow some tutorial but i have that error :
>
> Traceback (most recent call last):
> File "C:\Python27\test\test\earth.py", line 42, in <module>
> slope_array = np.ones_like(data_array) * nodataval
> TypeError: unsupported operand type(s) for *: 'int' and 'NoneType'
>
>
> first i define that lines of code :
>
> data_array = raster2array(filename)
> nodataval = getNoDataValue(filename)
>
> and the line with error :
>
> slope_array = np.ones_like(data_array) * nodataval
>
> how can i fix this error ?i change type field ?
>
> on the four prints:
>
> print(resolution)
> print(nodataval)
> print(type(data_array))
> print(data_array.shape)
>
> i take that exports :
>
> {'east-west': 0.0002777777777777778, 'north-south': 0.0002777777777777778}
> None
> <type 'numpy.ndarray'>
> (3601, 3601)
>
> the full code :
>
>
> from __future__ import division
> from osgeo import gdal
> from matplotlib.colors import ListedColormap
> from matplotlib import colors
> import sys
> import numpy as np
> import matplotlib
> import matplotlib.pyplot as plt
> import math
>
> filename = 'dem.tif'
>
> def getResolution(rasterfn):
> raster = gdal.Open(rasterfn)
> geotransform = raster.GetGeoTransform()
> res = {"east-west": abs(geotransform[1]),
> "north-south": abs(geotransform[5])}
> return res
>
> def raster2array(rasterfn):
> raster = gdal.Open(rasterfn)
> band = raster.GetRasterBand(1)
> return band.ReadAsArray()
>
> def getNoDataValue(rasterfn):
> raster = gdal.Open(rasterfn)
> band = raster.GetRasterBand(1)
> return band.GetNoDataValue()
>
> data_array = raster2array(filename)
> nodataval = getNoDataValue(filename)
> resolution = getResolution(filename)
> print(resolution)
> print(nodataval)
>
> print(type(data_array))
> print(data_array.shape)
>
> num_rows = data_array.shape[0]
> num_cols = data_array.shape[1]
>
> slope_array = np.ones_like(data_array) * nodataval
> aspect_array = np.ones_like(data_array) * nodataval
>
> for i in range(1, num_rows - 1):
> for j in range(1, num_cols - 1):
> a = data_array[i - 1][j - 1]
> b = data_array[i - 1][j]
> c = data_array[i - 1][j + 1]
> d = data_array[i][j - 1]
> e = data_array[i][j]
> f = data_array[i][j + 1]
> g = data_array[i + 1][j - 1]
> h = data_array[i + 1][j]
> q = data_array[i + 1][j + 1]
>
> vals = [a, b, c, d, e, f, g, h, q]
>
> if nodataval in vals:
> all_present = False
> else:
> all_present = True
>
> if all_present == True:
> dz_dx = (c + (2 * f) + q - a - (2 * d) - g) / (8 *
> resolution['east-west'])
> dz_dy = (g + (2 * h) + q - a - (2 * b) - c) / (8 *
> resolution['north-south'])
> dz_dx_sq = math.pow(dz_dx, 2)
> dz_dy_sq = math.pow(dz_dy, 2)
>
> rise_run = math.sqrt(dz_dx_sq + dz_dy_sq)
> slope_array[i][j] = math.atan(rise_run) * 57.29578
>
> aspect = math.atan2(dz_dy, (-1 * dz_dx)) * 57.29578
> if aspect < 0:
> aspect_array[i][j] = 90 - aspect
> elif aspect > 90:
> aspect_array[i][j] = 360 - aspect + 90
> else:
> aspect_array[i][j] = 90 - aspect
>
> hist, bins = np.histogram(slope_array, bins=100, range=(0,
> np.amax(slope_array)))
> width = 0.7 * (bins[1] - bins[0])
> center = (bins[:-1] + bins[1:]) / 2
> plt.bar(center, hist, align='center', width=width)
> plt.xlabel('Slope (degrees)')
> plt.ylabel('Frequency')
> plt.show()
>
> color_map = ListedColormap(['white', 'darkgreen', 'green', 'limegreen',
> 'lime',
> 'greenyellow', 'yellow', 'gold',
> 'orange', 'orangered', 'red'])
>
> # range begins at negative value so that missing values are white
> color_bounds = list(range(-3, math.ceil(np.amax(slope_array)), 1))
> color_norm = colors.BoundaryNorm(color_bounds, color_map.N)
>
> #Create the plot and colorbar
> img = plt.imshow(slope_array, cmap = color_map, norm = color_norm)
> cbar = plt.colorbar(img, cmap = color_map, norm = color_norm,
> boundaries = color_bounds, ticks = color_bounds)
>
> #Show the visualization
> plt.axis('off')
> plt.title("Slope (degrees)")
> plt.show()
> plt.close()
yes you are corrent now i dont have error,i have coloring from -3 to 50 with
step 1.. the -3 number is the -3 from my range ?
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