我有以下代码尝试为数据集 YearlyKeywordsFrequency 创建 3d Plot。我无法弄清楚为什么会出现此错误
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from mpl_toolkits import mplot3d
myData = pd.read_csv('counted-JOSAIC.csv', delimiter=',', skiprows=0,usecols=range(0,5))
print(myData)
item_list = list(myData.columns) #Names of Columns
item_list = item_list[1:]
print(item_list)
myData = np.array(myData) #Convert to numpy
keywords = np.asarray(myData[:,0]) #Get the Keywords
print(keywords)
data = np.asarray(myData[:,1:]) #remove Keywords from data
print(data.shape)
print(data)
##################################################################################
###x=keyword
###y=year
###z=freq
y=range(len(keywords))
x=range(len(item_list))
fig = plt.figure()
ax = plt.axes(projection='3d')
ax.contour3D(x, y, data, 50, cmap='binary')
ax.set_yticklabels(keywords)
ax.set_xticklabels(item_list)
ax.set_xlabel('x')
ax.set_ylabel('y')
ax.set_zlabel('z');
plt.show()
此代码给出了以下错误结果
Kewords freq-2015 ... freq-2017 freq-2018
0 energy 526 ... 89 97
1 power 246 ... 170 125
2 wireless 194 ... 121 144
3 transmission 157 ... 77 106
4 optimal 153 ... 100 110
5 interference 136 ... 100 78
6 spectrum 132 ... 126 29
7 allocation 125 ... 143 101
8 harvesting 123 ... 5 11
9 node 114 ... 25 63
10 capacity 106 ... 92 67
11 cellular 102 ... 72 39
12 relay 98 ... 20 35
13 access 97 ... 138 98
14 control 94 ... 50 87
15 link 91 ... 62 105
16 radio 91 ... 78 55
17 localization 89 ... 11 3
18 receiver 84 ... 20 38
19 sensor 82 ... 4 21
20 optical 80 ... 6 50
21 simulation 79 ... 90 94
22 probability 79 ... 51 44
23 the 78 ... 59 64
24 mimo 78 ... 192 49
25 signal 76 ... 38 38
26 sensing 76 ... 33 0
27 throughput 73 ... 65 39
28 packet 73 ... 8 38
29 heterogeneous 71 ... 36 42
... ... ... ... ...
8348 rated 0 ... 0 1
8349 150 0 ... 0 1
8350 highdefinition 0 ... 0 1
8351 facilitated 0 ... 0 1
8352 750 0 ... 0 1
8353 240 0 ... 0 1
8354 supplied 0 ... 0 1
8355 robotic 0 ... 0 1
8356 confinement 0 ... 0 1
8357 jam 0 ... 0 1
8358 8x6 0 ... 0 1
8359 megahertz 0 ... 0 1
8360 rotations 0 ... 0 1
8361 sudden 0 ... 0 1
8362 fades 0 ... 0 1
8363 marine 0 ... 0 1
8364 habitat 0 ... 0 1
8365 probes 0 ... 0 1
8366 uowcs 0 ... 0 1
8367 uowc 0 ... 0 1
8368 manchestercoded 0 ... 0 1
8369 avalanche 0 ... 0 1
8370 apd 0 ... 0 1
8371 pin 0 ... 0 1
8372 shallow 0 ... 0 1
8373 harbor 0 ... 0 1
8374 waters 0 ... 0 1
8375 focal 0 ... 0 1
8376 lcd 0 ... 0 1
8377 display 0 ... 0 1
[8378 rows x 5 columns]
[' freq-2015', ' freq-2016', ' freq-2017', ' freq-2018']
['energy' 'power' 'wireless' ... 'focal' 'lcd' 'display']
(8378, 4)
[[526 747 89 97]
[246 457 170 125]
[194 248 121 144]
...
[0 0 0 1]
[0 0 0 1]
[0 0 0 1]]
Traceback (most recent call last):
File "<ipython-input-5-7d351bf710cc>", line 1, in <module>
runfile('C:/Users/Haseeb/Desktop/Report 5/PYTHON word removal/PlotingCharts.py', wdir='C:/Users/Haseeb/Desktop/Report 5/PYTHON word removal')
File "e:\ProgramData\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 668, in runfile
execfile(filename, namespace)
File "e:\ProgramData\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 108, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "C:/Users/Haseeb/Desktop/Report 5/PYTHON word removal/PlotingCharts.py", line 111, in <module>
ax.contour3D(x, y, data, 50, cmap='binary')
File "e:\ProgramData\Anaconda3\lib\site-packages\mpl_toolkits\mplot3d\axes3d.py", line 2076, in contour
self.auto_scale_xyz(X, Y, Z, had_data)
File "e:\ProgramData\Anaconda3\lib\site-packages\mpl_toolkits\mplot3d\axes3d.py", line 494, in auto_scale_xyz
self.xy_dataLim.update_from_data_xy(np.array([x, y]).T, not had_data)
File "e:\ProgramData\Anaconda3\lib\site-packages\matplotlib\transforms.py", line 913, in update_from_data_xy
path = Path(xy)
File "e:\ProgramData\Anaconda3\lib\site-packages\matplotlib\path.py", line 127, in __init__
vertices = _to_unmasked_float_array(vertices)
File "e:\ProgramData\Anaconda3\lib\site-packages\matplotlib\cbook\__init__.py", line 1365, in _to_unmasked_float_array
return np.asarray(x, float)
File "e:\ProgramData\Anaconda3\lib\site-packages\numpy\core\numeric.py", line 492, in asarray
return array(a, dtype, copy=False, order=order)
ValueError: setting an array element with a sequence
我正在尝试制作类似
最佳答案
您必须将 x 和 y 类型更改为数组:
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from mpl_toolkits import mplot3d
myData = pd.read_csv('counted-JOSAIC.csv', delimiter=',', skiprows=0,usecols=range(0,5))
item_list = list(myData.columns) #Names of Columns
item_list = item_list[1:]
print(item_list)
myData = np.array(myData) #Convert to numpy
keywords = np.asarray(myData[:,0]) #Get the Keywords
print(keywords)
data = np.asarray(myData[:,1:]) #remove Keywords from data
print(data.shape)
print(data)
##################################################################################
###x=keyword
###y=year
###z=freq
y=np.arange(len(keywords))
x=np.arange(len(item_list))
X, Y = np.meshgrid(x, y)
fig = plt.figure()
ax = plt.axes(projection='3d')
ax.contour3D(X, Y, data, 50, cmap='binary')
ax.set_yticklabels(keywords)
ax.set_xticklabels(item_list)
ax.set_xlabel('x')
ax.set_ylabel('y')
ax.set_zlabel('z');
plt.show()
显然，您必须相应地更改颜色以及 x 和 y 才能获得所需的输出。
关于python - Matplot Numpy ValueError : setting an array element with a sequence，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/59136020/