Do you want to use the Gaussian kernel for e.g. image smoothing? If so, there’s a function gaussian_filter() in scipy: Updated answer This should work – while it’s still not 100% accurate, it attempts to account for the probability mass within each cell of the grid. I think that using the probability density at the … Read more
arange generates lists (well, numpy arrays); type help(np.arange) for the details. You don’t need to call it on existing lists. I should add that I tend to use poly1d here rather than write out “m*x+b” and the higher-order equivalents, so my version of your code would look something like this:
I regularly “jsonify” np.arrays. Try using the “.tolist()” method on the arrays first, like this: In order to “unjsonify” the array use:
Just taking the input from BrenBarn and Warren Weckesser to provide a code snippet which should run (by converting your strings to float): or simpler as suggested by @JLT But as Warren Weckesser already said, you should check the types of the array, most likely one already contains floats
There is a (somewhat) related question on StackOverflow: Showing an image with pylab.imshow() Here the problem was that an array of shape (nx,ny,1) is still considered a 3D array, and must be squeezed or sliced into a 2D array. More generally, the reason for the Exception TypeError: Invalid dimensions for image data is shown here: matplotlib.pyplot.imshow() needs a … Read more
First, you should not be using NumPy arrays as lists of lists. Second, let’s forget about NumPy; your listcomp doesn’t make any sense in the first place, even for lists of lists. In the inner comprehension, for i in X is going to iterate over the rows in X. Those rows aren’t numbers, they’re lists (or, in … Read more
You can use PyPNG. It’s a pure Python (no dependencies) open source PNG encoder/decoder and it supports writing NumPy arrays as images.
Use the arrays’ size attribute instead: You also probably want to use numpy.fromstring to take and convert the input string into an array:
As @aydow says, “change from numpy import * to import numpy as np“: Or don’t write np: Because, from numpy import *, Import every function in numpy, so np is not a function of numpy, so have to Import numpy like import numpy as np, Or, Remove np part of np.random.randint(low=10, high=30, size=6), and make it like this: random.randint(low=10, high=30, size=6), it’s all since random is a function of … Read more
I got the same error and ended up using a pre-built distribution of numpy available in SourceForge (similarly, a distribution of matplotlib can be obtained). Builds for both 32-bit 2.7 and 3.3/3.4 are available.PyCharm detected them straight away, of course.