3D列使用dataFrame和matplotlib绘制

时间:2017-12-15 13:17:09

标签: python pandas numpy matplotlib jupyter

我使用以下列从uniprot文件构建了一个数据框:

(index(protein_id),length, organism, sequence,acidic, polar,hydrophobic,color,width)

参数acidichydrophobicpolar是百分比(即1到100之间的数字),width介于0-1和color之间是4个数字的集合,例如:(0.5, 0.0, 0.0, 1.0)

我尝试以下列方式构建3d plot:

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')


charge_sum = 0
display(df)
for index, record in prot_df.iterrows():
    xs=int(record['acidic'])
    ys=int(record['polar'])
    zs=int(record['hydrophobic'])
    cs=record['color']
    width=record['width']
    ax.bar(xs, ys, zs, zdir='y', color=cs, alpha=width)

ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')

plt.show()

但是我收到以下错误:

>TypeError                                 Traceback (most recent call last)
><ipython-input-190-13bea2286c05> in <module>()
>     18     cs=record['color']
>     19     width=record['width']
>---> 20     ax.bar(xs, ys, zs, zdir='y', color=cs, alpha=width)
>    21 
>    22 

>C:\Users\Owner\Anaconda2\lib\site-packages\mpl_toolkits\mplot3d\axes3d.pyc in >bar(self, left, height, zs, zdir, *args, **kwargs)
>  2392         patches = super(Axes3D, self).bar(left, height, *args, **kwargs)
>  2393 
>-> 2394         zs = _backports.broadcast_to(zs, len(left))
>   2395 
>   2396         verts = []
>
>TypeError: object of type 'int' has no len()

有人可以帮助我摆脱这个错误吗?

0 个答案:

没有答案