I'm trying to make a 3d contour plot using countourfcommand in Matplotlib.
Here's the variable distribution:
I'm trying to plot the contour over 3 sides of a cube:
plt.close('all')
fig = plt.figure()
ax = fig.gca(projection='3d')
ax.pbaspect = [1.0, 1.0, 1.0]
levels = np.linspace(0,1,10)
cset = [[],[],[]]
n=0
for i in range(0,m-1):
for j in range(0,m-1):
znum[i,j]=DELTAcrit[n]
n+=1
cset[0] = ax.contourf(xnum, ynum, znum, zdir='z', offset=2*np.pi,
levels=levels,cmap='jet',antialiased=True)
for i in range(0,m-1):
for j in range(0,m-1):
znum[i,j]=DELTAcrit[n]
n+=1
cset[1] = ax.contourf(znum, xnum, ynum, zdir='x', offset=2*np.pi,
levels=levels,cmap='jet',antialiased=True)
for i in range(0,m-1):
for j in range(0,m-1):
znum[i,j]=DELTAcrit[n]
n+=1
cset[2] = ax.contourf(xnum, znum, ynum, zdir='y', offset=2*np.pi,
levels=levels,cmap='jet',antialiased=True)
# setting 3D-axis-limits:
ax.set_xlim3d(0,2*np.pi)
ax.set_ylim3d(0,2*np.pi)
ax.set_zlim3d(0,2*np.pi)
ax.set_xticks([0., .5*np.pi, np.pi, 1.5*np.pi, 2*np.pi])
ax.set_xticklabels(["$0$", r"$\frac{1}{2}\pi$",
r"$\pi$", r"$\frac{3}{2}\pi$", r"$2\pi$"])
ax.set_yticks([0., .5*np.pi, np.pi, 1.5*np.pi, 2*np.pi])
ax.set_yticklabels(["$0$", r"$\frac{1}{2}\pi$",
r"$\pi$", r"$\frac{3}{2}\pi$", r"$2\pi$"])
ax.set_zticks([0., .5*np.pi, np.pi, 1.5*np.pi, 2*np.pi])
ax.set_zticklabels(["$0$", r"$\frac{1}{2}\pi$",
r"$\pi$", r"$\frac{3}{2}\pi$", r"$2\pi$"])
ax.view_init(25, 45)
fig.subplots_adjust(bottom=-0.2,top=0.7)
cb = fig.colorbar(cset[0], shrink=0.7)
plt.show()
When I change the levels variable to a numpy.linspace with 3 or 5 levels it goes ok.
When I try like in the example with ten levels, like the one in the example I've just showed I got the following error:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
c:\users\rapha\pycharmprojects\vortexpy\venv\lib\site-packages\IPython\core\formatters.py in __call__(self, obj)
339 pass
340 else:
--> 341 return printer(obj)
342 # Finally look for special method names
343 method = get_real_method(obj, self.print_method)
c:\users\rapha\pycharmprojects\vortexpy\venv\lib\site-packages\IPython\core\pylabtools.py in <lambda>(fig)
246
247 if 'png' in formats:
--> 248 png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))
249 if 'retina' in formats or 'png2x' in formats:
250 png_formatter.for_type(Figure, lambda fig: retina_figure(fig, **kwargs))
c:\users\rapha\pycharmprojects\vortexpy\venv\lib\site-packages\IPython\core\pylabtools.py in print_figure(fig, fmt, bbox_inches, **kwargs)
130 FigureCanvasBase(fig)
131
--> 132 fig.canvas.print_figure(bytes_io, **kw)
133 data = bytes_io.getvalue()
134 if fmt == 'svg':
c:\users\rapha\pycharmprojects\vortexpy\venv\lib\site-packages\matplotlib\backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)
2191 else suppress())
2192 with ctx:
-> 2193 self.figure.draw(renderer)
2194
2195 bbox_inches = self.figure.get_tightbbox(
c:\users\rapha\pycharmprojects\vortexpy\venv\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
39 renderer.start_filter()
40
---> 41 return draw(artist, renderer, *args, **kwargs)
42 finally:
43 if artist.get_agg_filter() is not None:
c:\users\rapha\pycharmprojects\vortexpy\venv\lib\site-packages\matplotlib\figure.py in draw(self, renderer)
1861
1862 self.patch.draw(renderer)
-> 1863 mimage._draw_list_compositing_images(
1864 renderer, self, artists, self.suppressComposite)
1865
c:\users\rapha\pycharmprojects\vortexpy\venv\lib\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
129 if not_composite or not has_images:
130 for a in artists:
--> 131 a.draw(renderer)
132 else:
133 # Composite any adjacent images together
c:\users\rapha\pycharmprojects\vortexpy\venv\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
39 renderer.start_filter()
40
---> 41 return draw(artist, renderer, *args, **kwargs)
42 finally:
43 if artist.get_agg_filter() is not None:
c:\users\rapha\pycharmprojects\vortexpy\venv\lib\site-packages\mpl_toolkits\mplot3d\axes3d.py in draw(self, renderer)
443 for axis in self._get_axis_list()) + 1
444 for i, col in enumerate(
--> 445 sorted(self.collections,
446 key=lambda col: col.do_3d_projection(renderer),
447 reverse=True)):
c:\users\rapha\pycharmprojects\vortexpy\venv\lib\site-packages\mpl_toolkits\mplot3d\axes3d.py in <lambda>(col)
444 for i, col in enumerate(
445 sorted(self.collections,
--> 446 key=lambda col: col.do_3d_projection(renderer),
447 reverse=True)):
448 col.zorder = zorder_offset + i
c:\users\rapha\pycharmprojects\vortexpy\venv\lib\site-packages\mpl_toolkits\mplot3d\art3d.py in do_3d_projection(self, renderer)
766 key=lambda x: x[0], reverse=True)
767
--> 768 zzs, segments_2d, self._facecolors2d, self._edgecolors2d, idxs = \
769 zip(*z_segments_2d)
770
ValueError: not enough values to unpack (expected 5, got 0)
Thanks for the help!
My code for gradient calculation is as follows :
from skimage.feature import canny
import numpy as np
def Canny_detector(img):
import cv2
from scipy.ndimage.filters import convolve
import math
blur = cv2.GaussianBlur(img, (5, 5), 1.4)
Kx = np.array([[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]], np.float32)
Ky = np.array([[1, 2, 1], [0, 0, 0], [-1, -2, -1]], np.float32)
Ix = convolve(blur, Kx)
Iy = convolve(blur, Ky)
G = np.hypot(Ix, Iy)
theta = np.arctan2(Iy, Ix)
plt.imshow(G, cmap=plt.cm.gray)
return
canny_imgs = []
for img in plates:
Canny_detector(img)
Here the plates contain information about 6 images in form of a 2D array (Gray scale)
The error when executing the above code is :
ValueError Traceback (most recent call last)
E:\Programs\anaconda3\lib\site-packages\IPython\core\formatters.py in __call__(self, obj)
339 pass
340 else:
--> 341 return printer(obj)
342 # Finally look for special method names
343 method = get_real_method(obj, self.print_method)
E:\Programs\anaconda3\lib\site-packages\IPython\core\pylabtools.py in <lambda>(fig)
246
247 if 'png' in formats:
--> 248 png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))
249 if 'retina' in formats or 'png2x' in formats:
250 png_formatter.for_type(Figure, lambda fig: retina_figure(fig, **kwargs))
E:\Programs\anaconda3\lib\site-packages\IPython\core\pylabtools.py in print_figure(fig, fmt,
bbox_inches, **kwargs)
130 FigureCanvasBase(fig)
131
--> 132 fig.canvas.print_figure(bytes_io, **kw)
133 data = bytes_io.getvalue()
134 if fmt == 'svg':
E:\Programs\anaconda3\lib\site-packages\matplotlib\backend_bases.py in print_figure(self, filename,
dpi, facecolor, edgecolor, orientation, format, bbox_inches, **kwargs)
2098 else suppress())
2099 with ctx:
-> 2100 self.figure.draw(renderer)
2101 bbox_artists = kwargs.pop("bbox_extra_artists", None)
2102 bbox_inches = self.figure.get_tightbbox(renderer,
E:\Programs\anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer,
*args, **kwargs)
36 renderer.start_filter()
37
---> 38 return draw(artist, renderer, *args, **kwargs)
39 finally:
40 if artist.get_agg_filter() is not None:
E:\Programs\anaconda3\lib\site-packages\matplotlib\figure.py in draw(self, renderer)
1733
1734 self.patch.draw(renderer)
-> 1735 mimage._draw_list_compositing_images(
1736 renderer, self, artists, self.suppressComposite)
1737
E:\Programs\anaconda3\lib\site-packages\matplotlib\image.py in
_draw_list_compositing_images(renderer, parent, artists, suppress_composite)
135 if not_composite or not has_images:
136 for a in artists:
--> 137 a.draw(renderer)
138 else:
139 # Composite any adjacent images together
E:\Programs\anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args,
**kwargs)
36 renderer.start_filter()
37
---> 38 return draw(artist, renderer, *args, **kwargs)
39 finally:
40 if artist.get_agg_filter() is not None:
E:\Programs\anaconda3\lib\site-packages\matplotlib\axes\_base.py in draw(self, renderer, inframe)
2628 renderer.stop_rasterizing()
2629
-> 2630 mimage._draw_list_compositing_images(renderer, self, artists)
2631
2632 renderer.close_group('axes')
E:\Programs\anaconda3\lib\site-packages\matplotlib\image.py in
_draw_list_compositing_images(renderer,
parent, artists, suppress_composite)
135 if not_composite or not has_images:
136 for a in artists:
--> 137 a.draw(renderer)
138 else:
139 # Composite any adjacent images together
E:\Programs\anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args,
**kwargs)
36 renderer.start_filter()
37
---> 38 return draw(artist, renderer, *args, **kwargs)
39 finally:
40 if artist.get_agg_filter() is not None:
E:\Programs\anaconda3\lib\site-packages\matplotlib\image.py in draw(self, renderer, *args, **kwargs)
623 self._draw_unsampled_image(renderer, gc)
624 else:
--> 625 im, l, b, trans = self.make_image(
626 renderer, renderer.get_image_magnification())
627 if im is not None:
E:\Programs\anaconda3\lib\site-packages\matplotlib\image.py in make_image(self, renderer,
magnification, unsampled)
912 bbox = Bbox(np.array([[x1, y1], [x2, y2]]))
913 transformed_bbox = TransformedBbox(bbox, trans)
--> 914 return self._make_image(
915 self._A, bbox, transformed_bbox,
916 self.get_clip_box() or self.axes.bbox,
E:\Programs\anaconda3\lib\site-packages\matplotlib\image.py in _make_image(self, A, in_bbox,
out_bbox, clip_bbox, magnification, unsampled, round_to_pixel_border)
476 A_scaled += 0.1
477 # resample the input data to the correct resolution and shape
--> 478 A_resampled = _resample(self, A_scaled, out_shape, t)
479 # done with A_scaled now, remove from namespace to be sure!
480 del A_scaled
E:\Programs\anaconda3\lib\site-packages\matplotlib\image.py in _resample(image_obj, data, out_shape,
transform, resample, alpha)
195 if resample is None:
196 resample = image_obj.get_resample()
--> 197 _image.resample(data, out, transform,
198 _interpd_[interpolation],
199 resample,
ValueError: Unsupported dtype
<Figure size 432x288 with 1 Axes>
The final error is Unsupported data type. Is that any problem with the matplotlib imshow() method. I spent a lot of time checking for the error I was not able to figure it out. Can anyone please tell me how to rectify this?
Thank you!
The below code suddenly stated producing error. It was working fine earlier. I just reinstalled seaborn package.
plt.figure(figsize=(26,16))
sns.scatterplot(
x="tsne-2d-one",
y="tsne-2d-two",
hue="label",
palette=sns.color_palette("hls", 14),
data=df_subset,
legend="full",
alpha=1,
s=100
)
Traceback:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
c:\<path>_venv\lib\site-packages\IPython\core\formatters.py in __call__(self, obj)
339 pass
340 else:
--> 341 return printer(obj)
342 # Finally look for special method names
343 method = get_real_method(obj, self.print_method)
c:\<path>_venv\lib\site-packages\IPython\core\pylabtools.py in <lambda>(fig)
246
247 if 'png' in formats:
--> 248 png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))
249 if 'retina' in formats or 'png2x' in formats:
250 png_formatter.for_type(Figure, lambda fig: retina_figure(fig, **kwargs))
c:\<path>_venv\lib\site-packages\IPython\core\pylabtools.py in print_figure(fig, fmt, bbox_inches, **kwargs)
130 FigureCanvasBase(fig)
131
--> 132 fig.canvas.print_figure(bytes_io, **kw)
133 data = bytes_io.getvalue()
134 if fmt == 'svg':
c:\<path>_venv\lib\site-packages\matplotlib\backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)
2191 else suppress())
2192 with ctx:
-> 2193 self.figure.draw(renderer)
2194
2195 bbox_inches = self.figure.get_tightbbox(
c:\<path>_venv\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
39 renderer.start_filter()
40
---> 41 return draw(artist, renderer, *args, **kwargs)
42 finally:
43 if artist.get_agg_filter() is not None:
c:\<path>_venv\lib\site-packages\matplotlib\figure.py in draw(self, renderer)
1861
1862 self.patch.draw(renderer)
-> 1863 mimage._draw_list_compositing_images(
1864 renderer, self, artists, self.suppressComposite)
1865
c:\<path>_venv\lib\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
129 if not_composite or not has_images:
130 for a in artists:
--> 131 a.draw(renderer)
132 else:
133 # Composite any adjacent images together
c:\<path>_venv\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
39 renderer.start_filter()
40
---> 41 return draw(artist, renderer, *args, **kwargs)
42 finally:
43 if artist.get_agg_filter() is not None:
c:\<path>_venv\lib\site-packages\matplotlib\cbook\deprecation.py in wrapper(*inner_args, **inner_kwargs)
409 else deprecation_addendum,
410 **kwargs)
--> 411 return func(*inner_args, **inner_kwargs)
412
413 return wrapper
c:\<path>_venv\lib\site-packages\matplotlib\axes\_base.py in draw(self, renderer, inframe)
2746 renderer.stop_rasterizing()
2747
-> 2748 mimage._draw_list_compositing_images(renderer, self, artists)
2749
2750 renderer.close_group('axes')
c:\<path>_venv\lib\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
129 if not_composite or not has_images:
130 for a in artists:
--> 131 a.draw(renderer)
132 else:
133 # Composite any adjacent images together
c:\<path>_venv\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
39 renderer.start_filter()
40
---> 41 return draw(artist, renderer, *args, **kwargs)
42 finally:
43 if artist.get_agg_filter() is not None:
c:\<path>_venv\lib\site-packages\matplotlib\collections.py in draw(self, renderer)
929 def draw(self, renderer):
930 self.set_sizes(self._sizes, self.figure.dpi)
--> 931 Collection.draw(self, renderer)
932
933
c:\<path>_venv\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
39 renderer.start_filter()
40
---> 41 return draw(artist, renderer, *args, **kwargs)
42 finally:
43 if artist.get_agg_filter() is not None:
c:\<path>_venv\lib\site-packages\matplotlib\collections.py in draw(self, renderer)
383 else:
384 combined_transform = transform
--> 385 extents = paths[0].get_extents(combined_transform)
386 if (extents.width < self.figure.bbox.width
387 and extents.height < self.figure.bbox.height):
c:\<path>_venv\lib\site-packages\matplotlib\path.py in get_extents(self, transform, **kwargs)
601 xys.append(curve([0, *dzeros, 1]))
602 xys = np.concatenate(xys)
--> 603 return Bbox([xys.min(axis=0), xys.max(axis=0)])
604
605 def intersects_path(self, other, filled=True):
c:\<path>_venv\lib\site-packages\numpy\core\_methods.py in _amin(a, axis, out, keepdims, initial, where)
32 def _amin(a, axis=None, out=None, keepdims=False,
33 initial=_NoValue, where=True):
---> 34 return umr_minimum(a, axis, None, out, keepdims, initial, where)
35
36 def _sum(a, axis=None, dtype=None, out=None, keepdims=False,
ValueError: zero-size array to reduction operation minimum which has no identity
Note: df_subset is not empty, I checked. It has 3 columns "tsne-2d-one", "tsne-2d-two", "label"
"tsne-2d-one", "tsne-2d-two" contains float datatype values
"label" has String/Object data type values
Sample data:
tsne-2d-one,tsne-2d-two,label
-14.02892,-24.425629,A_A-A
-13.000096,-23.515806,A_A-A
-14.205202,-24.717735,A_A-A
-15.494256,-25.991783,A_A-A
-13.5905905,-23.419744,A_A-A
-13.350816,-25.939915,A_A-A
-12.438069,-24.727852,A_A-A
-13.54109,-26.080505,A_A-A
-14.834715,-26.33772,A_A-A
-13.562927,-23.37612,A_A-A
-15.59718,-24.024368,A_A-A
-14.931401,-22.854977,A_A-A
-15.655616,-24.41179,A_A-A
-15.716855,-25.620882,A_A-A
-15.219434,-23.031553,A_A-A
2.084894,-14.178911,B_B
5.5166216,-12.401592,B_B
2.0064962,-14.086351,B_B
5.5460343,1.7539215,B_B
5.002867,-13.499105,B_B
-0.13123433,0.9796202,B_B
7.7138877,-7.102608,B_B
-0.119276464,0.99467605,B_B
6.679522,1.4599445,B_B
4.96602,-13.200384,B_B
9.150655,-3.64276,B_B
10.205461,-6.4425406,B_B
9.038797,-3.5547273,B_B
7.0086393,1.1566005,B_B
9.934251,-6.873103,B_B
-11.11679,-11.341377,C_C C
-14.512915,-8.015724,C_C C
-9.953341,-11.557578,C_C C
-16.696735,-6.1155863,C_C C
-15.87594,-8.795022,C_C C
-11.377112,-14.174167,C_C C
-13.324324,-9.64841,C_C C
-11.897048,-13.814134,C_C C
-16.109194,-11.869152,C_C C
-16.046644,-8.998125,C_C C
-9.286824,-14.231626,C_C C
-12.704834,-7.5153055,C_C C
-9.349987,-13.253436,C_C C
-18.200735,-7.0271044,C_C C
-12.994204,-6.0151153,C_C C
-3.0917523,-10.06981,D_D_1
4.6217837,-10.767031,D_D_1
-3.1154654,-10.096936,D_D_1
5.0603623,1.1476644,D_D_1
3.369002,-11.283088,D_D_1
-5.780945,-7.966547,D_D_1
6.6392574,-8.486886,D_D_1
-5.7979536,-7.9725084,D_D_1
5.7012763,0.1932977,D_D_1
3.4227533,-11.3441305,D_D_1
-4.905956,-10.156104,D_D_1
5.8067675,-9.307196,D_D_1
-4.96808,-10.07095,D_D_1
6.28622,0.08598101,D_D_1
5.3993483,-9.526921,D_D_1
-11.131304,-11.375446,E_E_E
-14.445314,-8.006492,E_E_E
-9.945171,-11.480152,E_E_E
-16.731579,-6.1148796,E_E_E
-15.929554,-8.714455,E_E_E
-11.266886,-14.26166,E_E_E
-13.352065,-9.705651,E_E_E
-12.172098,-13.885426,E_E_E
-15.697548,-11.84327,E_E_E
-15.805679,-8.887896,E_E_E
-9.271222,-14.296528,E_E_E
-12.608987,-7.5177,E_E_E
-9.163923,-13.434417,E_E_E
-18.181078,-6.843873,E_E_E
-12.912988,-6.0278206,E_E_E
-1.5422965,-7.8732953,F_F_F
3.1139162,-8.750587,F_F_F
-2.028107,-7.784009,F_F_F
2.9877954,-1.4773916,F_F_F
1.7015373,-9.468788,F_F_F
-4.2344203,-5.2941556,F_F_F
5.2705426,-6.563142,F_F_F
-4.2245245,-5.600589,F_F_F
4.684833,-1.3839812,F_F_F
1.722953,-9.421918,F_F_F
-1.1982858,-4.9888654,F_F_F
3.6919396,-6.494554,F_F_F
-2.0073545,-5.178361,F_F_F
3.9441528,-2.738101,F_F_F
2.5451581,-6.1722994,F_F_F
-1.120436,-7.3399386,G_G_G_G
2.8947587,-8.145696,G_G_G_G
-1.4918948,-7.1562057,G_G_G_G
2.9648385,-1.7110974,G_G_G_G
1.5439045,-8.104277,G_G_G_G
-3.5719488,-4.901991,G_G_G_G
4.9950256,-6.279537,G_G_G_G
-3.4592612,-5.118906,G_G_G_G
4.573509,-1.6888899,G_G_G_G
1.4670004,-8.103425,G_G_G_G
-1.326964,-4.7369046,G_G_G_G
3.5509024,-6.1993237,G_G_G_G
-1.9852517,-4.7963614,G_G_G_G
3.8905938,-2.847331,G_G_G_G
2.3077533,-6.1591887,G_G_G_G
-0.6611299,14.413035,H_H
1.6424932,16.130213,H_H
-0.7701603,14.268575,H_H
2.9109209,8.180244,H_H
0.5201868,15.787671,H_H
-1.6890637,12.033475,H_H
2.8793135,16.313625,H_H
-1.6425153,11.930886,H_H
4.051731,8.0262375,H_H
0.43125528,15.851444,H_H
-0.049206052,12.614705,H_H
2.4294627,15.448605,H_H
-0.1478604,12.405042,H_H
3.6674721,8.151972,H_H
1.3558089,14.236326,H_H
-11.285671,15.540629,I_I_I
-9.562131,15.355534,I_I_I
-11.530592,15.769008,I_I_I
-13.046774,14.795182,I_I_I
-10.370458,15.011783,I_I_I
-12.224443,17.218636,I_I_I
-9.128062,16.107723,I_I_I
-12.329284,17.033316,I_I_I
-13.2455635,15.28421,I_I_I
-10.374858,15.010645,I_I_I
-11.048521,17.406425,I_I_I
-9.423859,16.605726,I_I_I
-11.302727,17.159101,I_I_I
-13.303642,14.898152,I_I_I
-10.067334,17.044987,I_I_I
19.458284,3.601622,J_J
18.161573,1.9801935,J_J
19.400095,4.1047544,J_J
16.417835,5.31509,J_J
18.94254,2.32699,J_J
18.529085,4.935621,J_J
16.578032,2.6348052,J_J
18.3073,5.0299187,J_J
16.369411,4.8019056,J_J
18.929241,2.3260906,J_J
18.18062,3.939813,J_J
16.98714,2.6408002,J_J
17.972517,4.1568704,J_J
16.239166,4.6899467,J_J
17.585348,2.8919232,J_J
-20.025661,8.026763,K_K_K
-20.538462,6.0866313,K_K_K
-19.686363,8.2460785,K_K_K
-18.748287,9.191302,K_K_K
-20.795744,7.023851,K_K_K
-17.74393,7.074227,K_K_K
-19.303535,5.2147784,K_K_K
-17.688332,7.3439727,K_K_K
-17.846653,8.789439,K_K_K
-20.777353,7.0788684,K_K_K
-18.925882,7.140357,K_K_K
-19.634892,5.644755,K_K_K
-18.661663,7.5221934,K_K_K
-18.29901,8.960838,K_K_K
-19.38654,6.43482,K_K_K
13.265437,15.976807,L_L_L
13.597595,19.052914,L_L_L
13.323307,16.138601,L_L_L
12.454088,17.811083,L_L_L
13.339949,19.46192,L_L_L
14.46764,15.587214,L_L_L
14.454488,18.439106,L_L_L
14.335033,15.607529,L_L_L
12.673782,17.41954,L_L_L
13.322454,19.446009,L_L_L
15.088017,16.46231,L_L_L
15.003597,18.347887,L_L_L
14.939234,16.422993,L_L_L
13.032935,17.582718,L_L_L
15.379603,18.11169,L_L_L
2.9893792,11.708033,M_M
4.0582185,14.155455,M_M
2.8813481,11.428211,M_M
2.9041388,8.880342,M_M
4.0471163,13.003807,M_M
-0.24122916,10.381815,M_M
3.4628656,15.878884,M_M
-0.17790422,10.348041,M_M
4.228249,8.942132,M_M
4.1144986,13.007208,M_M
1.0553777,11.241994,M_M
3.0545413,14.678934,M_M
1.1478767,10.947674,M_M
3.724015,9.194509,M_M
2.356918,13.5421915,M_M
19.131111,-8.112185,N_N_N
20.842833,-8.569077,N_N_N
19.030348,-8.294446,N_N_N
22.435442,-8.890868,N_N_N
20.483664,-8.155657,N_N_N
18.633186,-9.510608,N_N_N
20.852346,-9.7075,N_N_N
18.776926,-9.64985,N_N_N
22.413244,-9.279601,N_N_N
20.41144,-8.146459,N_N_N
19.47922,-10.565168,N_N_N
20.925726,-10.302838,N_N_N
19.37557,-10.4150505,N_N_N
22.429592,-9.683258,N_N_N
20.584888,-10.687437,N_N_N
Problem is related to a matplotlib regression in 3.3.1.
Original seaborn issue (closed)
Solution is to pin matplotlib to 3.3.0 until 3.3.2 is released, although the next release of seaborn will include a workaround.
Update (9/10/20): Seaborn 0.11.0 is now available that contains the workaround to make scatterplots work even with matplotlib 3.3.1.
I've noticed the same error mentioned originally by #Hitsesh Somani is occurring even for some of the example code snippets given on Seaborn's official site (https://seaborn.pydata.org/generated/seaborn.scatterplot.html).
For example the below example, copied and pasted directly from Seaborn, gives the same error as mentioned by #Hitesh Somani:
import seaborn as sns; sns.set()
import matplotlib.pyplot as plt
tips = sns.load_dataset("tips")
ax = sns.scatterplot(x="total_bill", y="tip", hue="time", data=tips)
the above will return the following error:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
c:\users\will\desktop\new folder\tester\lib\site-packages\IPython\core\formatters.py in __call__(self, obj)
339 pass
340 else:
--> 341 return printer(obj)
342 # Finally look for special method names
343 method = get_real_method(obj, self.print_method)
c:\users\will\desktop\new folder\tester\lib\site-packages\IPython\core\pylabtools.py in <lambda>(fig)
246
247 if 'png' in formats:
--> 248 png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))
249 if 'retina' in formats or 'png2x' in formats:
250 png_formatter.for_type(Figure, lambda fig: retina_figure(fig, **kwargs))
c:\users\will\desktop\new folder\tester\lib\site-packages\IPython\core\pylabtools.py in print_figure(fig, fmt, bbox_inches, **kwargs)
130 FigureCanvasBase(fig)
131
--> 132 fig.canvas.print_figure(bytes_io, **kw)
133 data = bytes_io.getvalue()
134 if fmt == 'svg':
c:\users\will\desktop\new folder\tester\lib\site-packages\matplotlib\backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)
2191 else suppress())
2192 with ctx:
-> 2193 self.figure.draw(renderer)
2194
2195 bbox_inches = self.figure.get_tightbbox(
c:\users\will\desktop\new folder\tester\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
39 renderer.start_filter()
40
---> 41 return draw(artist, renderer, *args, **kwargs)
42 finally:
43 if artist.get_agg_filter() is not None:
c:\users\will\desktop\new folder\tester\lib\site-packages\matplotlib\figure.py in draw(self, renderer)
1861
1862 self.patch.draw(renderer)
-> 1863 mimage._draw_list_compositing_images(
1864 renderer, self, artists, self.suppressComposite)
1865
c:\users\will\desktop\new folder\tester\lib\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
129 if not_composite or not has_images:
130 for a in artists:
--> 131 a.draw(renderer)
132 else:
133 # Composite any adjacent images together
c:\users\will\desktop\new folder\tester\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
39 renderer.start_filter()
40
---> 41 return draw(artist, renderer, *args, **kwargs)
42 finally:
43 if artist.get_agg_filter() is not None:
c:\users\will\desktop\new folder\tester\lib\site-packages\matplotlib\cbook\deprecation.py in wrapper(*inner_args, **inner_kwargs)
409 else deprecation_addendum,
410 **kwargs)
--> 411 return func(*inner_args, **inner_kwargs)
412
413 return wrapper
c:\users\will\desktop\new folder\tester\lib\site-packages\matplotlib\axes\_base.py in draw(self, renderer, inframe)
2746 renderer.stop_rasterizing()
2747
-> 2748 mimage._draw_list_compositing_images(renderer, self, artists)
2749
2750 renderer.close_group('axes')
c:\users\will\desktop\new folder\tester\lib\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
129 if not_composite or not has_images:
130 for a in artists:
--> 131 a.draw(renderer)
132 else:
133 # Composite any adjacent images together
c:\users\will\desktop\new folder\tester\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
39 renderer.start_filter()
40
---> 41 return draw(artist, renderer, *args, **kwargs)
42 finally:
43 if artist.get_agg_filter() is not None:
c:\users\will\desktop\new folder\tester\lib\site-packages\matplotlib\collections.py in draw(self, renderer)
929 def draw(self, renderer):
930 self.set_sizes(self._sizes, self.figure.dpi)
--> 931 Collection.draw(self, renderer)
932
933
c:\users\will\desktop\new folder\tester\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
39 renderer.start_filter()
40
---> 41 return draw(artist, renderer, *args, **kwargs)
42 finally:
43 if artist.get_agg_filter() is not None:
c:\users\will\desktop\new folder\tester\lib\site-packages\matplotlib\collections.py in draw(self, renderer)
383 else:
384 combined_transform = transform
--> 385 extents = paths[0].get_extents(combined_transform)
386 if (extents.width < self.figure.bbox.width
387 and extents.height < self.figure.bbox.height):
c:\users\will\desktop\new folder\tester\lib\site-packages\matplotlib\path.py in get_extents(self, transform, **kwargs)
601 xys.append(curve([0, *dzeros, 1]))
602 xys = np.concatenate(xys)
--> 603 return Bbox([xys.min(axis=0), xys.max(axis=0)])
604
605 def intersects_path(self, other, filled=True):
c:\users\will\desktop\new folder\tester\lib\site-packages\numpy\core\_methods.py in _amin(a, axis, out, keepdims, initial, where)
41 def _amin(a, axis=None, out=None, keepdims=False,
42 initial=_NoValue, where=True):
---> 43 return umr_minimum(a, axis, None, out, keepdims, initial, where)
44
45 def _sum(a, axis=None, dtype=None, out=None, keepdims=False,
ValueError: zero-size array to reduction operation minimum which has no identity
<Figure size 432x288 with 1 Axes>
Where I'm on a Windows 10 machine, with:
jupyter core==4.6.3
jupyter-notebook==6.1.3
ipython==7.18.1
matplotlib==3.3.1
numpy==1.19.1
pandas==1.1.1
seaborn==0.10.1
and Python v3.8.5.
Seconding #Brock, there is an error in the matplotlib regression. Changing back to matplotlib 3.3.0, with the conda command below, solved the problem for me.
conda install -c conda-forge matplotlib=3.3.0
I want use red and green to distinguish positive and negative num which will be used abs(num) in one picture. I search on web and find some method to deal with it. but the result is error. I paste the code and wish sb. to help.
"df_combine" file like this:
t o h l c nu octime ocsize cum_size
0 2017-07-02 22:01:00 1241.65 1241.85 1241.63 1241.85 0 2017-07-02 22:01:32 32 32
1 2017-07-02 22:02:00 1241.95 1241.95 1241.85 1241.95 0 2017-07-02 22:02:00 -24 12
2 2017-07-02 22:03:00 1242.05 1242.15 1242.05 1242.15 0 2017-07-02 22:03:00 -48 -36
3 2017-07-02 22:04:00 1242.25 1242.25 1242.16 1242.17 0 2017-07-02 22:04:00 -100 -136
4 2017-07-02 22:05:00 1242.16 1242.57 1241.85 1242.57 0 2017-07-02 22:05:00 200 64
holding_info file like this:
cum_size factor
0 32.0 True
1 12.0 True
2 -36.0 False
3 -136.0 False
4 64.0 True
code like this:
import pandas as pd
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
t=df_combine.iloc[:,0]
o=df_combine.iloc[:,1]
h=df_combine.iloc[:,2]
l=df_combine.iloc[:,3]
c=df_combine.iloc[:,4]
holding_octime=df_combine['t']
holding_size=df_combine['cum_size'] ##df_cumbine is a DataFrame
holding_info=pd.Series.to_frame(holding_size)
holding_info['factor']=holding_info['cum_size']>0
fig,ax1=plt.subplots()
ax1.plot_date(t,o,linestyle='--',color='b',marker='D',alpha=0.6) ##t,o,h,l,c are pd.Series which contains time and price
ax1.plot_date(t,c,linestyle='--',color='k',marker='D',alpha=0.6)
ax1.plot_date(t,h,color='g',marker='^',alpha=0.3)
ax1.plot_date(t,l,color='r',marker='v',alpha=0.3)
ax2=ax1.twinx()
ax2.plot_date(holding_octime,abs(holding_size),color=holding_info.factor.map({True:'r', False:'k'})) ##octime is a pd.Series which contains time
dformat=mpl.dates.DateFormatter('%Y.%m.%d %H:%M')
ax1.xaxis.set_major_formatter(dformat)
fig.autofmt_xdate()
plt.show()
find error like this:
> ---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
C:\Anaconda3\lib\site-packages\IPython\core\formatters.py in __call__(self, obj)
305 pass
306 else:
--> 307 return printer(obj)
308 # Finally look for special method names
309 method = get_real_method(obj, self.print_method)
C:\Anaconda3\lib\site-packages\IPython\core\pylabtools.py in <lambda>(fig)
238
239 if 'png' in formats:
--> 240 png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))
241 if 'retina' in formats or 'png2x' in formats:
242 png_formatter.for_type(Figure, lambda fig: retina_figure(fig, **kwargs))
C:\Anaconda3\lib\site-packages\IPython\core\pylabtools.py in print_figure(fig, fmt, bbox_inches, **kwargs)
122
123 bytes_io = BytesIO()
--> 124 fig.canvas.print_figure(bytes_io, **kw)
125 data = bytes_io.getvalue()
126 if fmt == 'svg':
C:\Anaconda3\lib\site-packages\matplotlib\backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, **kwargs)
2198 orientation=orientation,
2199 dryrun=True,
-> 2200 **kwargs)
2201 renderer = self.figure._cachedRenderer
2202 bbox_inches = self.figure.get_tightbbox(renderer)
C:\Anaconda3\lib\site-packages\matplotlib\backends\backend_agg.py in print_png(self, filename_or_obj, *args, **kwargs)
543
544 def print_png(self, filename_or_obj, *args, **kwargs):
--> 545 FigureCanvasAgg.draw(self)
546 renderer = self.get_renderer()
547 original_dpi = renderer.dpi
C:\Anaconda3\lib\site-packages\matplotlib\backends\backend_agg.py in draw(self)
462
463 try:
--> 464 self.figure.draw(self.renderer)
465 finally:
466 RendererAgg.lock.release()
C:\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
61 def draw_wrapper(artist, renderer, *args, **kwargs):
62 before(artist, renderer)
---> 63 draw(artist, renderer, *args, **kwargs)
64 after(artist, renderer)
65
C:\Anaconda3\lib\site-packages\matplotlib\figure.py in draw(self, renderer)
1142
1143 mimage._draw_list_compositing_images(
-> 1144 renderer, self, dsu, self.suppressComposite)
1145
1146 renderer.close_group('figure')
C:\Anaconda3\lib\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, dsu, suppress_composite)
137 if not_composite or not has_images:
138 for zorder, a in dsu:
--> 139 a.draw(renderer)
140 else:
141 # Composite any adjacent images together
C:\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
61 def draw_wrapper(artist, renderer, *args, **kwargs):
62 before(artist, renderer)
---> 63 draw(artist, renderer, *args, **kwargs)
64 after(artist, renderer)
65
C:\Anaconda3\lib\site-packages\matplotlib\axes\_base.py in draw(self, renderer, inframe)
2424 renderer.stop_rasterizing()
2425
-> 2426 mimage._draw_list_compositing_images(renderer, self, dsu)
2427
2428 renderer.close_group('axes')
C:\Anaconda3\lib\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, dsu, suppress_composite)
137 if not_composite or not has_images:
138 for zorder, a in dsu:
--> 139 a.draw(renderer)
140 else:
141 # Composite any adjacent images together
C:\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
61 def draw_wrapper(artist, renderer, *args, **kwargs):
62 before(artist, renderer)
---> 63 draw(artist, renderer, *args, **kwargs)
64 after(artist, renderer)
65
C:\Anaconda3\lib\site-packages\matplotlib\lines.py in draw(self, renderer)
826 gc = renderer.new_gc()
827 self._set_gc_clip(gc)
--> 828 rgbaFace = self._get_rgba_face()
829 rgbaFaceAlt = self._get_rgba_face(alt=True)
830 edgecolor = self.get_markeredgecolor()
C:\Anaconda3\lib\site-packages\matplotlib\lines.py in _get_rgba_face(self, alt)
1335 def _get_rgba_face(self, alt=False):
1336 facecolor = self._get_markerfacecolor(alt=alt)
-> 1337 if is_string_like(facecolor) and facecolor.lower() == 'none':
1338 rgbaFace = None
1339 else:
C:\Anaconda3\lib\site-packages\pandas\core\generic.py in __getattr__(self, name)
2968 if name in self._info_axis:
2969 return self[name]
-> 2970 return object.__getattribute__(self, name)
2971
2972 def __setattr__(self, name, value):
AttributeError: 'Series' object has no attribute 'lower'
<matplotlib.figure.Figure at 0x9db80b8>
i study the code from another case like this. if I use ax1.plot instead of ax1.plot_date, then the error information change to :
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
C:\Anaconda3\lib\site-packages\matplotlib\colors.py in to_rgba(c, alpha)
140 try:
--> 141 rgba = _colors_full_map.cache[c, alpha]
142 except (KeyError, TypeError): # Not in cache, or unhashable.
C:\Anaconda3\lib\site-packages\pandas\core\generic.py in __hash__(self)
830 raise TypeError('{0!r} objects are mutable, thus they cannot be'
--> 831 ' hashed'.format(self.__class__.__name__))
832
TypeError: 'Series' objects are mutable, thus they cannot be hashed
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
C:\Anaconda3\lib\site-packages\IPython\core\formatters.py in __call__(self, obj)
305 pass
306 else:
--> 307 return printer(obj)
308 # Finally look for special method names
309 method = get_real_method(obj, self.print_method)
C:\Anaconda3\lib\site-packages\IPython\core\pylabtools.py in <lambda>(fig)
225
226 if 'png' in formats:
--> 227 png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))
228 if 'retina' in formats or 'png2x' in formats:
229 png_formatter.for_type(Figure, lambda fig: retina_figure(fig, **kwargs))
C:\Anaconda3\lib\site-packages\IPython\core\pylabtools.py in print_figure(fig, fmt, bbox_inches, **kwargs)
117
118 bytes_io = BytesIO()
--> 119 fig.canvas.print_figure(bytes_io, **kw)
120 data = bytes_io.getvalue()
121 if fmt == 'svg':
C:\Anaconda3\lib\site-packages\matplotlib\backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, **kwargs)
2190 orientation=orientation,
2191 dryrun=True,
-> 2192 **kwargs)
2193 renderer = self.figure._cachedRenderer
2194 bbox_inches = self.figure.get_tightbbox(renderer)
C:\Anaconda3\lib\site-packages\matplotlib\backends\backend_agg.py in print_png(self, filename_or_obj, *args, **kwargs)
543
544 def print_png(self, filename_or_obj, *args, **kwargs):
--> 545 FigureCanvasAgg.draw(self)
546 renderer = self.get_renderer()
547 original_dpi = renderer.dpi
C:\Anaconda3\lib\site-packages\matplotlib\backends\backend_agg.py in draw(self)
462
463 try:
--> 464 self.figure.draw(self.renderer)
465 finally:
466 RendererAgg.lock.release()
C:\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist,
renderer, *args, **kwargs)
61 def draw_wrapper(artist, renderer, *args, **kwargs):
62 before(artist, renderer)
---> 63 draw(artist, renderer, *args, **kwargs)
64 after(artist, renderer)
65
C:\Anaconda3\lib\site-packages\matplotlib\figure.py in draw(self, renderer)
1141
1142 mimage._draw_list_compositing_images(
-> 1143 renderer, self, dsu, self.suppressComposite)
1144
1145 renderer.close_group('figure')
C:\Anaconda3\lib\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, dsu, suppress_composite)
137 if not_composite or not has_images:
138 for zorder, a in dsu:
--> 139 a.draw(renderer)
140 else:
141 # Composite any adjacent images together
C:\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
61 def draw_wrapper(artist, renderer, *args, **kwargs):
62 before(artist, renderer)
---> 63 draw(artist, renderer, *args, **kwargs)
64 after(artist, renderer)
65
C:\Anaconda3\lib\site-packages\matplotlib\axes\_base.py in draw(self, renderer, inframe)
2407 renderer.stop_rasterizing()
2408
-> 2409 mimage._draw_list_compositing_images(renderer, self, dsu)
2410
2411 renderer.close_group('axes')
C:\Anaconda3\lib\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, dsu, suppress_composite)
137 if not_composite or not has_images:
138 for zorder, a in dsu:
--> 139 a.draw(renderer)
140 else:
141 # Composite any adjacent images together
C:\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
61 def draw_wrapper(artist, renderer, *args, **kwargs):
62 before(artist, renderer)
---> 63 draw(artist, renderer, *args, **kwargs)
64 after(artist, renderer)
65
C:\Anaconda3\lib\site-packages\matplotlib\lines.py in draw(self, renderer)
801 self._set_gc_clip(gc)
802
--> 803 ln_color_rgba = self._get_rgba_ln_color()
804 gc.set_foreground(ln_color_rgba, isRGBA=True)
805 gc.set_alpha(ln_color_rgba[3])
C:\Anaconda3\lib\site-packages\matplotlib\lines.py in _get_rgba_ln_color(self, alt)
1342
1343 def _get_rgba_ln_color(self, alt=False):
-> 1344 return mcolors.to_rgba(self._color, self._alpha)
1345
1346 # some aliases....
C:\Anaconda3\lib\site-packages\matplotlib\colors.py in to_rgba(c, alpha)
141 rgba = _colors_full_map.cache[c, alpha]
142 except (KeyError, TypeError): # Not in cache, or unhashable.
--> 143 rgba = _to_rgba_no_colorcycle(c, alpha)
144 try:
145 _colors_full_map.cache[c, alpha] = rgba
C:\Anaconda3\lib\site-packages\matplotlib\colors.py in _to_rgba_no_colorcycle(c, alpha)
190 # not numpy floats.
191 try:
--> 192 c = tuple(map(float, c))
193 except TypeError:
194 raise ValueError("Invalid RGBA argument: {!r}".format(orig_c))
ValueError: could not convert string to float: 'k'
<matplotlib.figure.Figure at 0x263096fa128>
why this happen?
and what i really what to do is make a bar chart of cumsum size and plot price in the same image
or
if size>n(linspace maybe 50,100,200),make the whole background which in several time range in different colors. like between 2017-8-19 08:20:10 and 2017-8-19 08:30:20,size=70,then use yellow to fill this range background.and between 2017-8-20 08:20:10 and 2017-8-20 08:30:20,size=150,then use red to fill this range background.
just solve one problem is good, some idea can not figure out in one time:)
I am having some trouble saving a series of two Seaborn violin plots and a normal matplotlib plot which runs each time my code iterates over a loop.
My code is:
for symbol in symbol_list:
<DO SOMETHING - CREATE PANDAS DATAFRAME NAMED "df">
img = sns.violinplot(x=df['Onside'].dropna().astype(float))
fig = img.get_figure()
fig.savefig(symbol+" Onside Violin Plot.png")
fig.clf()
sns.violinplot(x=df['Offside'].dropna().astype(float))
fig = img.get_figure()
fig.savefig(symbol+" Offside Violin Plot.png")
fig.clf()
plt.figure(1)
plt.subplot(211)
plt.hist(df['Onside'],bins=50,alpha=0.5,label="Onside")
plt.hist(df['Offside'],bins=50,alpha=0.5,label="Offside")
plt.legend(loc='best')
plt.xlabel("Pips")
plt.ylabel("Number of Trades")
plt.subplot(212)
plt.bar(df.index,df['Offside'],color='r',width=0.5)
plt.bar(df.index,df['Onside'],color='blue',width=0.5)
plt.savefig(symbol+'_Onside_Offside')
plt.plot()
It runs correctly on the first iteration through the loop but on the second go around I get the following error message:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-51-269b21e53a2f> in <module>()
112 img = sns.violinplot(x=df['Onside'].dropna().astype(float))#.figure.savefig(symbol+" Onside Violin Plot.png")
113 fig = img.get_figure()
--> 114 fig.savefig(symbol+" Onside Violin Plot.png")
115 fig.clf()
116
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\figure.py in savefig(self, *args, **kwargs)
1561 self.set_frameon(frameon)
1562
-> 1563 self.canvas.print_figure(*args, **kwargs)
1564
1565 if frameon:
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, **kwargs)
2230 orientation=orientation,
2231 bbox_inches_restore=_bbox_inches_restore,
-> 2232 **kwargs)
2233 finally:
2234 if bbox_inches and restore_bbox:
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\backends\backend_agg.py in print_png(self, filename_or_obj, *args, **kwargs)
525
526 def print_png(self, filename_or_obj, *args, **kwargs):
--> 527 FigureCanvasAgg.draw(self)
528 renderer = self.get_renderer()
529 original_dpi = renderer.dpi
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\backends\backend_agg.py in draw(self)
472
473 try:
--> 474 self.figure.draw(self.renderer)
475 finally:
476 RendererAgg.lock.release()
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
60 def draw_wrapper(artist, renderer, *args, **kwargs):
61 before(artist, renderer)
---> 62 draw(artist, renderer, *args, **kwargs)
63 after(artist, renderer)
64
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\figure.py in draw(self, renderer)
1157 dsu.sort(key=itemgetter(0))
1158 for zorder, a, func, args in dsu:
-> 1159 func(*args)
1160
1161 renderer.close_group('figure')
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
60 def draw_wrapper(artist, renderer, *args, **kwargs):
61 before(artist, renderer)
---> 62 draw(artist, renderer, *args, **kwargs)
63 after(artist, renderer)
64
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\axes\_base.py in draw(self, renderer, inframe)
2317
2318 for zorder, a in dsu:
-> 2319 a.draw(renderer)
2320
2321 renderer.close_group('axes')
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
60 def draw_wrapper(artist, renderer, *args, **kwargs):
61 before(artist, renderer)
---> 62 draw(artist, renderer, *args, **kwargs)
63 after(artist, renderer)
64
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\axis.py in draw(self, renderer, *args, **kwargs)
1106 renderer.open_group(__name__)
1107
-> 1108 ticks_to_draw = self._update_ticks(renderer)
1109 ticklabelBoxes, ticklabelBoxes2 = self._get_tick_bboxes(ticks_to_draw,
1110 renderer)
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\axis.py in _update_ticks(self, renderer)
949
950 interval = self.get_view_interval()
--> 951 tick_tups = [t for t in self.iter_ticks()]
952 if self._smart_bounds:
953 # handle inverted limits
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\axis.py in <listcomp>(.0)
949
950 interval = self.get_view_interval()
--> 951 tick_tups = [t for t in self.iter_ticks()]
952 if self._smart_bounds:
953 # handle inverted limits
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\axis.py in iter_ticks(self)
892 Iterate through all of the major and minor ticks.
893 """
--> 894 majorLocs = self.major.locator()
895 majorTicks = self.get_major_ticks(len(majorLocs))
896 self.major.formatter.set_locs(majorLocs)
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\dates.py in __call__(self)
1005 def __call__(self):
1006 'Return the locations of the ticks'
-> 1007 self.refresh()
1008 return self._locator()
1009
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\dates.py in refresh(self)
1025 def refresh(self):
1026 'Refresh internal information based on current limits.'
-> 1027 dmin, dmax = self.viewlim_to_dt()
1028 self._locator = self.get_locator(dmin, dmax)
1029
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\dates.py in viewlim_to_dt(self)
769 vmin, vmax = vmax, vmin
770
--> 771 return num2date(vmin, self.tz), num2date(vmax, self.tz)
772
773 def _get_unit(self):
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\dates.py in num2date(x, tz)
417 tz = _get_rc_timezone()
418 if not cbook.iterable(x):
--> 419 return _from_ordinalf(x, tz)
420 else:
421 x = np.asarray(x)
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\dates.py in _from_ordinalf(x, tz)
269
270 ix = int(x)
--> 271 dt = datetime.datetime.fromordinal(ix).replace(tzinfo=UTC)
272
273 remainder = float(x) - ix
ValueError: ordinal must be >= 1
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\IPython\core\formatters.py in __call__(self, obj)
305 pass
306 else:
--> 307 return printer(obj)
308 # Finally look for special method names
309 method = get_real_method(obj, self.print_method)
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\IPython\core\pylabtools.py in <lambda>(fig)
225
226 if 'png' in formats:
--> 227 png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))
228 if 'retina' in formats or 'png2x' in formats:
229 png_formatter.for_type(Figure, lambda fig: retina_figure(fig, **kwargs))
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\IPython\core\pylabtools.py in print_figure(fig, fmt, bbox_inches, **kwargs)
117
118 bytes_io = BytesIO()
--> 119 fig.canvas.print_figure(bytes_io, **kw)
120 data = bytes_io.getvalue()
121 if fmt == 'svg':
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, **kwargs)
2178 orientation=orientation,
2179 dryrun=True,
-> 2180 **kwargs)
2181 renderer = self.figure._cachedRenderer
2182 bbox_inches = self.figure.get_tightbbox(renderer)
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\backends\backend_agg.py in print_png(self, filename_or_obj, *args, **kwargs)
525
526 def print_png(self, filename_or_obj, *args, **kwargs):
--> 527 FigureCanvasAgg.draw(self)
528 renderer = self.get_renderer()
529 original_dpi = renderer.dpi
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\backends\backend_agg.py in draw(self)
472
473 try:
--> 474 self.figure.draw(self.renderer)
475 finally:
476 RendererAgg.lock.release()
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
60 def draw_wrapper(artist, renderer, *args, **kwargs):
61 before(artist, renderer)
---> 62 draw(artist, renderer, *args, **kwargs)
63 after(artist, renderer)
64
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\figure.py in draw(self, renderer)
1157 dsu.sort(key=itemgetter(0))
1158 for zorder, a, func, args in dsu:
-> 1159 func(*args)
1160
1161 renderer.close_group('figure')
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
60 def draw_wrapper(artist, renderer, *args, **kwargs):
61 before(artist, renderer)
---> 62 draw(artist, renderer, *args, **kwargs)
63 after(artist, renderer)
64
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\axes\_base.py in draw(self, renderer, inframe)
2317
2318 for zorder, a in dsu:
-> 2319 a.draw(renderer)
2320
2321 renderer.close_group('axes')
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
60 def draw_wrapper(artist, renderer, *args, **kwargs):
61 before(artist, renderer)
---> 62 draw(artist, renderer, *args, **kwargs)
63 after(artist, renderer)
64
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\axis.py in draw(self, renderer, *args, **kwargs)
1106 renderer.open_group(__name__)
1107
-> 1108 ticks_to_draw = self._update_ticks(renderer)
1109 ticklabelBoxes, ticklabelBoxes2 = self._get_tick_bboxes(ticks_to_draw,
1110 renderer)
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\axis.py in _update_ticks(self, renderer)
949
950 interval = self.get_view_interval()
--> 951 tick_tups = [t for t in self.iter_ticks()]
952 if self._smart_bounds:
953 # handle inverted limits
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\axis.py in <listcomp>(.0)
949
950 interval = self.get_view_interval()
--> 951 tick_tups = [t for t in self.iter_ticks()]
952 if self._smart_bounds:
953 # handle inverted limits
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\axis.py in iter_ticks(self)
892 Iterate through all of the major and minor ticks.
893 """
--> 894 majorLocs = self.major.locator()
895 majorTicks = self.get_major_ticks(len(majorLocs))
896 self.major.formatter.set_locs(majorLocs)
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\dates.py in __call__(self)
1005 def __call__(self):
1006 'Return the locations of the ticks'
-> 1007 self.refresh()
1008 return self._locator()
1009
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\dates.py in refresh(self)
1025 def refresh(self):
1026 'Refresh internal information based on current limits.'
-> 1027 dmin, dmax = self.viewlim_to_dt()
1028 self._locator = self.get_locator(dmin, dmax)
1029
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\dates.py in viewlim_to_dt(self)
769 vmin, vmax = vmax, vmin
770
--> 771 return num2date(vmin, self.tz), num2date(vmax, self.tz)
772
773 def _get_unit(self):
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\dates.py in num2date(x, tz)
417 tz = _get_rc_timezone()
418 if not cbook.iterable(x):
--> 419 return _from_ordinalf(x, tz)
420 else:
421 x = np.asarray(x)
C:\Users\s\AppData\Local\Continuum\Anaconda3\lib\site-packages\matplotlib\dates.py in _from_ordinalf(x, tz)
269
270 ix = int(x)
--> 271 dt = datetime.datetime.fromordinal(ix).replace(tzinfo=UTC)
272
273 remainder = float(x) - ix
ValueError: ordinal must be >= 1
Could anyone please point out where I am going wrong?
I assume it's seomthing to do with the "plt" figure not being cleared properly and therefore the code is trying to plot two different indices on the x axis of the same figure, hence the "ordinal must be >= 1" error.
Am i in the right ball park?
You need to clear the figure first thing in the loop, otherwise the new content would be plottet to the old figure from the previous loop step.
So you can add
plt.gcf().clf()
at the start of the loop.