Print X_train shape. What do you see? I’d bet X_train is 2d (matrix with a single column), while y_train 1d (vector). In turn you get different sizes. I think using X_train[:,0] for plotting (which is from where the error originates) should solve the problem
For a short, fast solution that does the whole thing in one loop, without dependencies, the code below works great.
OK, two steps to this – first is to write a function that does the translation you want – I’ve put an example together based on your pseudo-code: You may want to go over this, but it seems to do the trick – notice that the parameter going into the function is considered to be … Read more
According to MAINT: silence Cython warnings about changes dtype/ufunc size. – numpy/numpy: These warnings are visible whenever you import scipy (or another package) that was compiled against an older numpy than is installed. and the checks are inserted by Cython (hence are present in any module compiled with it). Long story short, these warnings should be benign … Read more
I am new to both python and numpy. I ran a code that I wrote and I am getting this message: ‘index 0 is out of bounds for axis 0 with size 0’ Without the context, I just want to figure out what this means.. It might be silly to ask this but what do … Read more
Rewrite to and this will use much less memory. Whereas p = p*alpha allocates a whole new matrix for the result of p*alpha and then discards the old p; p*= alpha does the same thing in place. In general, with big matrices, try to use op= assignment.
The question has changed, so to has the answer: Strings can’t be tested using math.isnan as this expects a float argument. In your countries list, you have floats and strings. In your case the following should suffice: Old answer In your countries list, the literal ‘nan’ is a string not the Python float nan which is equivalent to: In your case the following should suffice:
numpy.log10(prob) calculates the base 10 logarithm for all elements of prob, even the ones that aren’t selected by the where. If you want, you can fill the zeros of prob with 10**-10 or some dummy value before taking the logarithm to get rid of the problem. (Make sure you don’t compute prob > 0.0000000001 with dummy values, though.)
Overflow error implies that an operation yields a value out of the range defined for the corresponding data type. For numpy double, that range is (-1.79769313486e+308, 1.79769313486e+308). Also, for a good discussion, please read this SO post. Example: Output: ShareFollow
In numpy, index and dimension numbering starts with 0. So axis 0 means the 1st dimension. Also in numpy a dimension can have length (size) 0. The simplest case is: I also get it if x = np.zeros((0,5), int), a 2d array with 0 rows, and 5 columns. So someplace in your code you are creating an array with a size … Read more