xhjcxxl / coursera_work Goto Github PK

run error(like this):
TypeError Traceback (most recent call last)
~/anaconda2/envs/py36/lib/python3.6/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)
~/anaconda2/envs/py36/lib/python3.6/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:

~/anaconda2/envs/py36/lib/python3.6/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

~/anaconda2/envs/py36/lib/python3.6/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:

~/anaconda2/envs/py36/lib/python3.6/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 ()
3 axes.set_xlim([-1.5,1.5])
4 axes.set_ylim([-1.5,1.5])
----> 5 plot_decision_boundary(lambda x: predict_dec(parameters, x.T), train_X, train_Y)

~/xxl_workspace/github/Coursera_work/deep_learning/My work/第二课第一周编程作业/assignment1/init_utils.py in plot_decision_boundary(model, X, y)
215 plt.ylabel('x2')
216 plt.xlabel('x1')
--> 217 plt.scatter(X[0, :], X[1, :], c=y, cmap=plt.cm.Spectral)
218 plt.show()
219

~/anaconda2/envs/py36/lib/python3.6/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

~/anaconda2/envs/py36/lib/python3.6/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:

~/anaconda2/envs/py36/lib/python3.6/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, 300) not acceptable as a color sequence for x with size 300, y with size 300

solve:
in the function :plot_decision_boundary,the fourth parameters maybe is 1 dimensional；so we should add np.squeeze();
examle:
change train_Y to np.squeeze(train_Y)