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  • How do I read CSV data into a record array in NumPy?
    @JoséL Patiño The second part of the question deals with the request for a Numpy record array The first part of the answer shows df values which gives a Numpy representation of the DataFrame; a convenient method imho –
  • How do numpys in-place operations (e. g. `+=`) work?
    >>> a += 4 >>> a array([ 5 , 6 , 7 ]) >>> b array([ 5 , 6 , 7 ]) In place addition of an ndarray updates the reference This is not the same as calling numpy add which creates a copy in a new reference
  • python - Is there a NumPy function to return the first index of . . .
    a = numpy arange(100) other_array[first_array > 50] The nonzero method takes booleans, too: index = numpy nonzero(first_array == item)[0][0] The two zeros are for the tuple of indices (assuming first_array is 1D) and then the first item in the array of indices
  • Multiple conditions using or in numpy array - Stack Overflow
    numpy logical_and and logical_or are the ufuncs that you want (I think) Note that is not logical and , it is bitwise and This still works for you because (a>10) returns a logical array (e g 1's and 0's) as does your second condition
  • Numpy equivalent of if else without loop - Stack Overflow
    We can sum over the following two numpy where-matrices: For matrix A: if x[i,j] >= 50, then set value 50, otherwise 1 because we want x[i,j]<50 to be equal to 1 For matrix B: if x[i,j] > 50, then set value -50, thus for x[i,j]>50 the sum over both matrices will yield value 0 for the corresponding elements
  • How to check if an object is an np. array ()? - Stack Overflow
    I'm trying to build a code that checks whether a given object is an np array() in python if isinstance(obj,np array()) doesn't seem to work I would truly appreciate any help
  • Comparing two NumPy arrays for equality, element-wise
    Method: (A==B) all(), 0 03031857 Method: np array_equal(A,B), 0 030025185 Method: np array_equiv(A,B), 0 030141515 According to the results above, the numpy methods seem to be faster than the combination of the == operator and the all() method and by comparing the numpy methods the fastest one seems to be the numpy array_equal method
  • How do I get indices of N maximum values in a NumPy array?
    NumPy proposes a way to get the index of the maximum value of an array via np argmax I would like a similar thing, but returning the indexes of the N maximum values
  • Good ways to expand a numpy ndarray? - Stack Overflow
    Just to be clear: there's no "good" way to extend a NumPy array, as NumPy arrays are not expandable Once the array is defined, the space it occupies in memory, a combination of the number of its elements and the size of each element, is fixed and cannot be changed





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