我在本地运行的作业代码的时候一直报错

[bois93]

你好，我在运行的一直遇到这样的问题
比如第二课，第一周的Regularization
train_X, train_Y, test_X, test_Y = load_2D_dataset()

TypeError Traceback (most recent call last)
c:\users\administrator\appdata\local\programs\python\python36-32\lib\site-packages\matplotlib\colors.py in to_rgba(c, alpha)
131 try:
--> 132 rgba = _colors_full_map.cache[c, alpha]
133 except (KeyError, TypeError): # Not in cache, or unhashable.

TypeError: unhashable type: 'numpy.ndarray'

During handling of the above exception, another exception occurred:

ValueError Traceback (most recent call last)
c:\users\administrator\appdata\local\programs\python\python36-32\lib\site-packages\matplotlib\axes_axes.py in scatter(self, x, y, s, c, marker, cmap, norm, vmin, vmax, alpha, linewidths, verts, edgecolors, **kwargs)
3985 # must be acceptable as PathCollection facecolors
-> 3986 colors = mcolors.to_rgba_array(c)
3987 except ValueError:

c:\users\administrator\appdata\local\programs\python\python36-32\lib\site-packages\matplotlib\colors.py in to_rgba_array(c, alpha)
232 for i, cc in enumerate(c):
--> 233 result[i] = to_rgba(cc, alpha)
234 return result

c:\users\administrator\appdata\local\programs\python\python36-32\lib\site-packages\matplotlib\colors.py in to_rgba(c, alpha)
133 except (KeyError, TypeError): # Not in cache, or unhashable.
--> 134 rgba = _to_rgba_no_colorcycle(c, alpha)
135 try:

c:\users\administrator\appdata\local\programs\python\python36-32\lib\site-packages\matplotlib\colors.py in _to_rgba_no_colorcycle(c, alpha)
188 if len(c) not in [3, 4]:
--> 189 raise ValueError("RGBA sequence should have length 3 or 4")
190 if len(c) == 3 and alpha is None:

ValueError: RGBA sequence should have length 3 or 4

During handling of the above exception, another exception occurred:

ValueError Traceback (most recent call last)
in ()
----> 1 train_X, train_Y, test_X, test_Y = load_2D_dataset()

~\Desktop\deeplearning.ai_JupyterNotebooks-master\deeplearning.ai_JupyterNotebooks-master\2_Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization\week1\2_Regularization\reg_utils.py in load_2D_dataset()
332 test_Y = data['yval'].T
333
--> 334 plt.scatter(train_X[0, :], train_X[1, :], c=train_Y, s=40, cmap=plt.cm.Spectral);
335
336 return train_X, train_Y, test_X, test_Y

c:\users\administrator\appdata\local\programs\python\python36-32\lib\site-packages\matplotlib\pyplot.py in scatter(x, y, s, c, marker, cmap, norm, vmin, vmax, alpha, linewidths, verts, edgecolors, hold, data, **kwargs)
3376 vmin=vmin, vmax=vmax, alpha=alpha,
3377 linewidths=linewidths, verts=verts,
-> 3378 edgecolors=edgecolors, data=data, **kwargs)
3379 finally:
3380 ax._hold = washold

c:\users\administrator\appdata\local\programs\python\python36-32\lib\site-packages\matplotlib_init_.py in inner(ax, *args, **kwargs)
1715 warnings.warn(msg % (label_namer, func.name),
1716 RuntimeWarning, stacklevel=2)
-> 1717 return func(ax, *args, **kwargs)
1718 pre_doc = inner.doc
1719 if pre_doc is None:

c:\users\administrator\appdata\local\programs\python\python36-32\lib\site-packages\matplotlib\axes_axes.py in scatter(self, x, y, s, c, marker, cmap, norm, vmin, vmax, alpha, linewidths, verts, edgecolors, **kwargs)
3989 msg = ("c of shape {0} not acceptable as a color sequence "
3990 "for x with size {1}, y with size {2}")
-> 3991 raise ValueError(msg.format(c.shape, x.size, y.size))
3992 else:
3993 colors = None # use cmap, norm after collection is created

ValueError: c of shape (1, 211) not acceptable as a color sequence for x with size 211, y with size 211

[XingxingHuang]

抱歉， 我这里代码有些过时了。现在coursera的协议不允许分享代码，即使没有答案的代码也不行。请到官网上运行代码。

[pengzhendong]

数组维度不对。可以用 numpy.ravel() 将数组降维成一维。