ValueError: X和y不能大于2-D，但具有形状(2，)和(2，1,991)
ValueError: X和y不能大于2-D，但具有形状(2，)和(2，1,991)
提问于 2022-07-06 13:26:57
我想绘制我的数据，但我得到了这个错误。你知道我该怎么做吗？
fig, ax = plt.subplots(figsize=(12,8))
ax.plot(wl, dat[:], color='black')
ax.plot(wl2, dat2[:], color='green')
ax.axvline(4861.32,color='b', linewidth=1)
ax.text(4861.32 + 0.2, np.mean(dat) + 4.8*np.std(dat), "H"+ r'$\beta$', fontsize = 10, color = 'b')
ax.set_title('Spectra', fontsize = 15)
ax.set_xlabel(r'Wavelength [$\mathrm{\AA}$]',fontsize=15)
ax.set_ylabel(r'Flux [erg/cm2/cm/A]', fontsize = 15)
ax.set_xlim(3700,5000)
ax.set_ylim([np.mean(dat2) - 1.5*np.std(dat2), np.mean(dat2) + 2*np.std(dat2)])回溯
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Input In [81], in <cell line: 5>()
1 fig, ax = plt.subplots(figsize=(12,8))
3 ax.plot(wl, dat[:], color='black')
----> 5 ax.plot(wl2, dat2[:], color='green')
File ~\anaconda3\envs\py10\lib\site-packages\matplotlib\axes\_axes.py:1632, in Axes.plot(self, scalex, scaley, data, *args, **kwargs)
1390 """
1391 Plot y versus x as lines and/or markers.
1392
(...)
1629 (``'green'``) or hex strings (``'#008000'``).
1630 """
1631 kwargs = cbook.normalize_kwargs(kwargs, mlines.Line2D)
-> 1632 lines = [*self._get_lines(*args, data=data, **kwargs)]
1633 for line in lines:
1634 self.add_line(line)
File ~\anaconda3\envs\py10\lib\site-packages\matplotlib\axes\_base.py:312, in _process_plot_var_args.__call__(self, data, *args, **kwargs)
310 this += args[0],
311 args = args[1:]
--> 312 yield from self._plot_args(this, kwargs)
File ~\anaconda3\envs\py10\lib\site-packages\matplotlib\axes\_base.py:501, in _process_plot_var_args._plot_args(self, tup, kwargs, return_kwargs)
498 raise ValueError(f"x and y must have same first dimension, but "
499 f"have shapes {x.shape} and {y.shape}")
500 if x.ndim > 2 or y.ndim > 2:
--> 501 raise ValueError(f"x and y can be no greater than 2D, but have "
502 f"shapes {x.shape} and {y.shape}")
503 if x.ndim == 1:
504 x = x[:, np.newaxis]
ValueError: x and y can be no greater than 2D, but have shapes (2,) and (2, 1, 991)回答 1
Stack Overflow用户
回答已采纳
发布于 2022-07-06 14:56:33
- 目前有4个数据数组，
wl、dat、wl2、dat2。 wl和wl2的形状如下。
import numpy as np
wl = wl2 = np.array([0, 1])
# wl and wl2 look essentially like this
array([0, 1])
>>> wl.shape
(2,)dat看起来本质上像wl和wl2，形状相同dat2看起来不一样，因为它是一个3D数组，而wl2的形状与dat2不匹配。
# sample data in the same shape as dat2
np.random.seed(2022)
dat2 = np.random.normal(4, 1, (2, 1, 991))
>>> dat2.shape
(2, 1, 991)
# dat2 looks like the following
array([[[3.9994721 , 3.72509858, 3.86071444, ..., 4.24822846,
2.7409143 , 5.96405405]],
[[3.54264793, 5.54945521, 5.68753333, ..., 5.88797684,
3.98211438, 5.69521236]]])dat2不能用wl2绘制，因为形状不匹配。dat2可以被切片(dat2[:, :, 0])以匹配wl2的形状，其中0是991对中的1对数字。
>>> dat2[:, :, 0]
array([[3.9994721 ],
[3.54264793]])
>>> dat2[:, :, 0].shape
(2, 1) # which corresponds to (2,) and will plot without issue- 请参阅其他资源：
一些绘图选项
- 这不是一份详尽无遗的选项清单。
1.图1一对数字
import matplotlib.pyplot as plt
fig, ax = plt.subplots(figsize=(12,8))
ax.plot(wl2, dat2[:, :, 0], color='green', marker='o')
2.图5对( 991对中)
fig, ax = plt.subplots(figsize=(12,8))
for i, pair in enumerate(zip(*dat2[0, :, :5], *dat2[1, :, :5]), 1):
ax.plot(wl2, pair, marker='o', label=f'Pair: {i}')
ax.legend()
plt.show()
3.分出每组991人
- 这不是针对
wl2绘制的。
fig, ax = plt.subplots(figsize=(12, 8))
for i, col in enumerate(dat2):
ax.plot(col.flat, marker='.', label=f'Col: {i}')
ax.legend()
plt.show()
4.重塑dat3与地块
.reshape((991, 2))
- 重塑数组的图等价于选项3.。
# reshape the array
dat2l = dat2.reshape((991, 2))
>>> print(dat2l.shape)
(991, 2)
# plot
fig, ax = plt.subplots(figsize=(12, 8))
ax.plot(dat2l, marker='.')
.reshape((2, 991))
- 重塑数组的图等价于选项2. 。
ax.plot(wl2, dat2r[:, :5], color='green', marker='o', alpha=0.4)会画出前5对。
# reshape the array
dat2r = dat2.reshape((2, 991))
>>> print(dat2r.shape)
(2, 991)
# plot
fig, ax = plt.subplots(figsize=(12, 40))
_ = ax.plot(wl2, dat2r, color='green', marker='o', alpha=0.4)
页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/72884399
复制相关文章
相似问题
腾讯云开发者
