太多的值要解压（预期 3）？

Question

I am trying to load some data from a text file, but keep on getting this error:

def getData(file):
    f = open('N_20_T_10.txt','r')
    x, y, z = [], [], []
    f.readline()
    for line in f:
        xp, yp, zp = line.split(' ')
        x.append(float(xp))
        y.append(float(yp))
        z.append(float(zp))
    f.close()
    return x, y, z
def plotData(inputFile):
    x, y, z = getData(inputFile)
    x = pylab.array(x)
    y = pylab.array(y)
    z = pylab.array(z)
    N = np.linspace(1, 100, 100)
    r = np.sqrt(x**2 + y**2+z**2)
    mean_r = N*r
    data = np.column_stack(N)
    data1 = np.column_stack(mean_r)
    print(data, mean_r)
    #print(N, r)
    np.savetxt('new.txt', list(zip(N, mean_r)), fmt='%.1f', delimiter=",")
    pylab.plot(N, mean_r)
    pylab.xlabel('N')
    pylab.show()
plotData('N_20_T_10.txt.txt')

Here is the data I'm using. I think it keeps on coming maybe because of some extra whitespaces in the data, because when I use a different file with no spaces it works well. But I'm not sure.

Answer 1

From the picture it seems before the first number there is a space. Then you will get back 4 elements of the split(' ') operation. See the following example:

numbers = " 1 2 3"
numbers.split(' ')
# output: ['','1', '2', '3']

You can solve your problem by skipping the first element of the array as follows:

numbers.split(' ')[1:]
# output: ['1', '2', '3']

or using strip() :

numbers.strip().split(' ')
# output: ['1', '2', '3']

or you can simply use split() without a parameter:

numbers.split()
# output: ['1', '2', '3']

So in your case, the following code should work:

xp, yp, zp = line.spilt()

Answer 2

I would try to strip all whitespaces at the beginning and the end of each line by using

xp, yp, zp = line.strip().split(' ')

Answer 3

If this is whitespace problem then you can solve it using split without defining separator. Split docs explain:

If sep is not specified or is None, a different splitting algorithm is applied: runs of consecutive whitespace are regarded as a single separator...

and example

>>> '   1   2   3   '.split()
['1', '2', '3']