将txt文件作为数据源 绘制 pyplot 曲线

import numpy
import matplotlib.pyplot as plt

# Load data from a text file  data.txt
data = numpy.loadtxt("data.txt")

# # 6行，三列
print(data)
# print(type(data))    <class 'numpy.ndarray'>    nd:   n,  d:dimensionality

# 三行，六列
print(data.T)

'''  
只要维度大于1， 实现就会调转
Same as self.transpose(), except that self is returned if  
    self.ndim < 2.


Examples
    --------
    >>> x = np.array([[1.,2.],[3.,4.]])
    >>> x
    array([[ 1.,  2.],
           [ 3.,  4.]])
    >>> x.T
    array([[ 1.,  3.],
           [ 2.,  4.]])
    >>> x = np.array([1.,2.,3.,4.])
    >>> x
    array([ 1.,  2.,  3.,  4.])
    >>> x.T
    array([ 1.,  2.,  3.,  4.])

    '''


print('----------data.T----------')
print(data.T)


for row in data.T:

    x = data.T[0]
    y = row

    print('--------xy-----------')
    print(x)
    print(y)

    plt.plot(x, y)

plt.show()

output:  
----------data.T----------
[[ 0.  1.  2.  4.  5.  6.]
 [ 0.  1.  2. 12. 33. 36.]
 [ 6.  5.  4.  3.  2.  1.]]
--------xy-----------
[0. 1. 2. 4. 5. 6.]
[0. 1. 2. 4. 5. 6.]
--------xy-----------
[0. 1. 2. 4. 5. 6.]
[ 0.  1.  2. 12. 33. 36.]
--------xy-----------
[0. 1. 2. 4. 5. 6.]
[6. 5. 4. 3. 2. 1.]