Issue
I have a tf-idf matrix in a dataframe. I ran it through tsne.
tsne_vecs_clarke2 = TSNE(n_components=3, perplexity=30.0, init='pca', learning_rate='auto').fit_transform(clarke)
clarke['component1'] = tsne_vecs_clarke2[:,0]
clarke['component2'] = tsne_vecs_clarke2[:,1]
clarke['component3'] = tsne_vecs_clarke2[:,2]
When I plotted clarke['component2'] against clarke['component2'] with the following code, I get this plot:
sns.scatterplot(x=clarke['component3'], y=clarke['component2'], hue=clarke['0inclusion'],
data=clarke).set(title="T-SNE projection ")
I would like to look at it in 3D to get more insights. I tried to plot it in 3D matplotlib but I ran into a TypeError stating that input z must be 2D, not 1D.
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
x = clarke['component1']
y = clarke['component2']
z = clarke['component3']
fig = plt.figure()
ax = plt.axes(projection='3d')
ax.contour3D(x, y, z, 50, cmap='binary')
ax.set_xlabel('x')
ax.set_ylabel('y')
ax.set_zlabel('z')
TypeError Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_16936/3386285865.py in <module>
1 fig = plt.figure()
2 ax = plt.axes(projection='3d')
----> 3 ax.contour3D(x, y, z, 50, cmap='binary')
4 ax.set_xlabel('x')
5 ax.set_ylabel('y')
~\anaconda3\lib\site-packages\mpl_toolkits\mplot3d\axes3d.py in contour(self, X, Y, Z, extend3d, stride, zdir, offset, *args, **kwargs)
2173
2174 jX, jY, jZ = art3d.rotate_axes(X, Y, Z, zdir)
-> 2175 cset = super().contour(jX, jY, jZ, *args, **kwargs)
2176 self.add_contour_set(cset, extend3d, stride, zdir, offset)
2177
~\anaconda3\lib\site-packages\matplotlib\__init__.py in inner(ax, data, *args, **kwargs)
1359 def inner(ax, *args, data=None, **kwargs):
1360 if data is None:
-> 1361 return func(ax, *map(sanitize_sequence, args), **kwargs)
1362
1363 bound = new_sig.bind(ax, *args, **kwargs)
~\anaconda3\lib\site-packages\matplotlib\axes\_axes.py in contour(self, *args, **kwargs)
6418 def contour(self, *args, **kwargs):
6419 kwargs['filled'] = False
-> 6420 contours = mcontour.QuadContourSet(self, *args, **kwargs)
6421 self._request_autoscale_view()
6422 return contours
~\anaconda3\lib\site-packages\matplotlib\contour.py in __init__(self, ax, levels, filled, linewidths, linestyles, hatches, alpha, origin, extent, cmap, colors, norm, vmin, vmax, extend, antialiased, nchunk, locator, transform, *args, **kwargs)
775 self._transform = transform
776
--> 777 kwargs = self._process_args(*args, **kwargs)
778 self._process_levels()
779
~\anaconda3\lib\site-packages\matplotlib\contour.py in _process_args(self, corner_mask, *args, **kwargs)
1364 self._corner_mask = corner_mask
1365
-> 1366 x, y, z = self._contour_args(args, kwargs)
1367
1368 _mask = ma.getmask(z)
~\anaconda3\lib\site-packages\matplotlib\contour.py in _contour_args(self, args, kwargs)
1422 args = args[1:]
1423 elif Nargs <= 4:
-> 1424 x, y, z = self._check_xyz(args[:3], kwargs)
1425 args = args[3:]
1426 else:
~\anaconda3\lib\site-packages\matplotlib\contour.py in _check_xyz(self, args, kwargs)
1450
1451 if z.ndim != 2:
-> 1452 raise TypeError(f"Input z must be 2D, not {z.ndim}D")
1453 if z.shape[0] < 2 or z.shape[1] < 2:
1454 raise TypeError(f"Input z must be at least a (2, 2) shaped array, "
TypeError: Input z must be 2D, not 1D
I am not sure how to fix this issue. Any help will be much appreciated.
Solution
If you're doing PCA you probably want a scatterplot, which you can make with ax.scatter3D(x, y, z)
.
If you do want this as a contour, see this answer for how to structure your data: Why does pyplot.contour() require Z to be a 2D array?
Answered By - Scott
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