numpy

问题 I am writing a script using python Spyder 2.2.5 with Windows 7, python 2.7 At the very beginning I have tried all the import ways: from numpy import * or import numpy and also import numpy as np And, for each an every line where I use numpy I am getting an error when compiling QR10 = numpy.array(QR10,dtype=float) QR20 = numpy.array(QR20,dtype=float) QR11 = numpy.array(QR11,dtype=float) QR21 = numpy.array(QR21,dtype=float) However, even with this 30 errors, the script works if I run it.... Any

问题 I am writing a script using python Spyder 2.2.5 with Windows 7, python 2.7 At the very beginning I have tried all the import ways: from numpy import * or import numpy and also import numpy as np And, for each an every line where I use numpy I am getting an error when compiling QR10 = numpy.array(QR10,dtype=float) QR20 = numpy.array(QR20,dtype=float) QR11 = numpy.array(QR11,dtype=float) QR21 = numpy.array(QR21,dtype=float) However, even with this 30 errors, the script works if I run it.... Any

问题 I want to create 200 image frames of size (100*100) and stack them in a 3-D array with final size(200 * 100 *100) where x axis represent each frame ie, (1, 100, 100) should be the first frame. I am not able to stack them in a 3-D array. The first loop does create a (2,100,100) array by stacking the first two frames but does not work after that and results in a (2,) array import numpy as np import random def createCircle(width,height , rad ): w = random.randint(1, height) h = random.randint(1,

问题 What I am trying to do is call a C++ method from Python to return a 2D array. The Python filename is: BaxterArm1.py and the C++ filename is: baxIK.cpp. Below is how I compiled my c++ program: g++ -c -fPIC baxIK.cpp -o baxIK.o g++ -shared -Wl,-soname,baxIK.so -o baxIK.so baxIK.o Below is the relevant part of the C++ program: int main(int argc, char** argv) { } extern "C" float** compute(float x, float y, float z, float q1, float q2, float q3, float q4) { unsigned int num_of_solutions = (int

问题 What I am trying to do is call a C++ method from Python to return a 2D array. The Python filename is: BaxterArm1.py and the C++ filename is: baxIK.cpp. Below is how I compiled my c++ program: g++ -c -fPIC baxIK.cpp -o baxIK.o g++ -shared -Wl,-soname,baxIK.so -o baxIK.so baxIK.o Below is the relevant part of the C++ program: int main(int argc, char** argv) { } extern "C" float** compute(float x, float y, float z, float q1, float q2, float q3, float q4) { unsigned int num_of_solutions = (int

问题 What I am trying to do is call a C++ method from Python to return a 2D array. The Python filename is: BaxterArm1.py and the C++ filename is: baxIK.cpp. Below is how I compiled my c++ program: g++ -c -fPIC baxIK.cpp -o baxIK.o g++ -shared -Wl,-soname,baxIK.so -o baxIK.so baxIK.o Below is the relevant part of the C++ program: int main(int argc, char** argv) { } extern "C" float** compute(float x, float y, float z, float q1, float q2, float q3, float q4) { unsigned int num_of_solutions = (int

问题 I am trying to convert Matlab code into Python, but I'm receiving an error when I append zeros in my array. Matlab Code: N_bits=1e5; a1=[0,1]; bits=a1(ceil(length(a1)*rand(1,N_bits))); bits=[0 0 0 0 0 0 0 0 bits]; Python Code: a1=array([0,0,1]) N_bits=1e2 a2=arange(0,2,1) ## Transmitter ## bits1=ceil(len(a2)*rand(N_bits)) bits=a1[array(bits1,dtype=int)] bits=array([0,0,0,0,0,0,0,0, bits]) I get an error on the last line: Error: bits=array([0,0,0,0,0,0,0,0, bits]) ValueError: setting an array

问题 I am using np.select() to construct an ndarray with values of either 1, -1, or 0, depending on some conditions. It is possible that none of these will be met, so I need a default value. I would like this value to be the value that the array holds in the previous index, if that makes sense. My naive code, which runs on some columns of a DataFrame named "total" and which raises an error, is below: condlist = [total.ratios > total.s_entry, total.ratios < total.b_entry, (total.ratios > total.b

问题 I am using np.select() to construct an ndarray with values of either 1, -1, or 0, depending on some conditions. It is possible that none of these will be met, so I need a default value. I would like this value to be the value that the array holds in the previous index, if that makes sense. My naive code, which runs on some columns of a DataFrame named "total" and which raises an error, is below: condlist = [total.ratios > total.s_entry, total.ratios < total.b_entry, (total.ratios > total.b

问题 I have a list of numpy arrays. Something like this (it won't be the same example, but similar) lst = [np.array([ 1,2,3,4,5,6 ]).reshape(-1, 1), np.array([ 1,2,3,4,5,6 ]).reshape(-1, 1), np.array([ 1,2,3,4,5,6 ]).reshape(-1, 1)] My lst in this case has 3 numpy arrays where their shape is (6,1), now I'd like to concatenate it, in something like this: # array([[1, 1, 1], # [2, 2, 2], # [3, 3, 3], # [4, 4, 4], # [5, 5, 5], # [6, 6, 6]]) and this works perfectly doing this... example = np.c_[lst[0