源代码
cyprus_predicted_life_satisfaction = lin1.predict(cyprus_gdp_per_capita)[0][0]
#cyprus_predicted_life_satisfaction = lin1.predict(cyprus_gdp_per_capita)
cyprus_predicted_life_satisfaction
OUT: array([[5.96244744]])
sample_data.plot(kind='scatter', x="GDP per capita", y='Life satisfaction', figsize=(5,3), s=1)
X=np.linspace(0, 60000, 1000)
plt.plot(X, t0 + t1*X, "b")
plt.axis([0, 60000, 0, 10])
plt.text(5000, 7.5, r"$\theta_0 = 4.85$", fontsize=14, color="b")
plt.text(5000, 6.6, r"$\theta_1 = 4.91 \times 10^{-5}$", fontsize=14, color="b")
plt.plot([cyprus_gdp_per_capita, cyprus_gdp_per_capita], [0, cyprus_predicted_life_satisfaction], "r--")
plt.text(25000, 5.0, r"Prediction = 5.96", fontsize=14, color="b")
plt.plot(cyprus_gdp_per_capita, cyprus_predicted_life_satisfaction, "ro")
save_fig('cyprus_prediction_plot')
plt.show()
错误
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-36-c7d7af89ced4> in <module>
5 plt.text(5000, 7.5, r"$\theta_0 = 4.85$", fontsize=14, color="b")
6 plt.text(5000, 6.6, r"$\theta_1 = 4.91 \times 10^{-5}$", fontsize=14, color="b")
----> 7 plt.plot([cyprus_gdp_per_capita, cyprus_gdp_per_capita], [0, cyprus_predicted_life_satisfaction], "r--")
8 plt.text(25000, 5.0, r"Prediction = 5.96", fontsize=14, color="b")
9 plt.plot(cyprus_gdp_per_capita, cyprus_predicted_life_satisfaction, "ro")
~/anaconda3/lib/python3.7/site-packages/matplotlib/pyplot.py in plot(scalex, scaley, data, *args, **kwargs)
2809 return gca().plot(
2810 *args, scalex=scalex, scaley=scaley, **({"data": data} if data
-> 2811 is not None else {}), **kwargs)
2812
2813
~/anaconda3/lib/python3.7/site-packages/matplotlib/__init__.py in inner(ax, data, *args, **kwargs)
1808 "the Matplotlib list!)" % (label_namer, func.__name__),
1809 RuntimeWarning, stacklevel=2)
-> 1810 return func(ax, *args, **kwargs)
1811
1812 inner.__doc__ = _add_data_doc(inner.__doc__,
~/anaconda3/lib/python3.7/site-packages/matplotlib/axes/_axes.py in plot(self, scalex, scaley, *args, **kwargs)
1609 kwargs = cbook.normalize_kwargs(kwargs, mlines.Line2D._alias_map)
1610
-> 1611 for line in self._get_lines(*args, **kwargs):
1612 self.add_line(line)
1613 lines.append(line)
~/anaconda3/lib/python3.7/site-packages/matplotlib/axes/_base.py in _grab_next_args(self, *args, **kwargs)
391 this += args[0],
392 args = args[1:]
--> 393 yield from self._plot_args(this, kwargs)
394
395
~/anaconda3/lib/python3.7/site-packages/matplotlib/axes/_base.py in _plot_args(self, tup, kwargs)
368 x, y = index_of(tup[-1])
369
--> 370 x, y = self._xy_from_xy(x, y)
371
372 if self.command == 'plot':
~/anaconda3/lib/python3.7/site-packages/matplotlib/axes/_base.py in _xy_from_xy(self, x, y)
232 if x.ndim > 2 or y.ndim > 2:
233 raise ValueError("x and y can be no greater than 2-D, but have "
--> 234 "shapes {} and {}".format(x.shape, y.shape))
235
236 if x.ndim == 1:
ValueError: x and y can be no greater than 2-D, but have shapes (2, 1, 1) and (2,)
尝试的解决方案
- 这个问题在我的情况下涉及到相反的1D和3D维度，而我涉及到的是3D和1D - 绘制图像傅里叶变换时出现“ValueError：x和y不能大于2-D，但形状为(2592,)和(2592, 1, 3)”错误
- 无答案：错误：x和y不能大于2-D，但形状为（2，）和（2，150000，1）
- 无答案 - x和y不能大于2-D，但形状为（1，）和（1，224，224，3）