73 lines
3.4 KiB
Plaintext
73 lines
3.4 KiB
Plaintext
Traceback (most recent call last):
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File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/jupyter_cache/executors/utils.py", line 51, in single_nb_execution
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executenb(
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File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/nbclient/client.py", line 1204, in execute
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return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute()
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File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/nbclient/util.py", line 84, in wrapped
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return just_run(coro(*args, **kwargs))
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File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/nbclient/util.py", line 62, in just_run
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return loop.run_until_complete(coro)
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File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/asyncio/base_events.py", line 647, in run_until_complete
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return future.result()
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File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/nbclient/client.py", line 663, in async_execute
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await self.async_execute_cell(
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File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/nbclient/client.py", line 965, in async_execute_cell
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await self._check_raise_for_error(cell, cell_index, exec_reply)
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File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/nbclient/client.py", line 862, in _check_raise_for_error
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raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)
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nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:
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------------------
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from mpl_toolkits.mplot3d import Axes3D
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import matplotlib.pyplot as plt
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from matplotlib import cm
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from matplotlib.ticker import LinearLocator, FormatStrFormatter
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import numpy as np
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from random import random, seed
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fig = plt.figure()
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ax = fig.gca(projection='3d')
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# Make data.
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x = np.arange(0, 1, 0.05)
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y = np.arange(0, 1, 0.05)
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x, y = np.meshgrid(x,y)
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def FrankeFunction(x,y):
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term1 = 0.75*np.exp(-(0.25*(9*x-2)**2) - 0.25*((9*y-2)**2))
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term2 = 0.75*np.exp(-((9*x+1)**2)/49.0 - 0.1*(9*y+1))
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term3 = 0.5*np.exp(-(9*x-7)**2/4.0 - 0.25*((9*y-3)**2))
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term4 = -0.2*np.exp(-(9*x-4)**2 - (9*y-7)**2)
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return term1 + term2 + term3 + term4
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z = FrankeFunction(x, y)
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# Plot the surface.
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surf = ax.plot_surface(x, y, z, cmap=cm.coolwarm,
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linewidth=0, antialiased=False)
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# Customize the z axis.
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ax.set_zlim(-0.10, 1.40)
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ax.zaxis.set_major_locator(LinearLocator(10))
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ax.zaxis.set_major_formatter(FormatStrFormatter('%.02f'))
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# Add a color bar which maps values to colors.
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fig.colorbar(surf, shrink=0.5, aspect=5)
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plt.show()
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------------------
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[0;31m---------------------------------------------------------------------------[0m
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[0;31mTypeError[0m Traceback (most recent call last)
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Cell [0;32mIn[30], line 9[0m
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[1;32m 6[0m [38;5;28;01mfrom[39;00m [38;5;21;01mrandom[39;00m [38;5;28;01mimport[39;00m random, seed
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[1;32m 8[0m fig [38;5;241m=[39m plt[38;5;241m.[39mfigure()
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[0;32m----> 9[0m ax [38;5;241m=[39m [43mfig[49m[38;5;241;43m.[39;49m[43mgca[49m[43m([49m[43mprojection[49m[38;5;241;43m=[39;49m[38;5;124;43m'[39;49m[38;5;124;43m3d[39;49m[38;5;124;43m'[39;49m[43m)[49m
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[1;32m 11[0m [38;5;66;03m# Make data.[39;00m
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[1;32m 12[0m x [38;5;241m=[39m np[38;5;241m.[39marange([38;5;241m0[39m, [38;5;241m1[39m, [38;5;241m0.05[39m)
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[0;31mTypeError[0m: gca() got an unexpected keyword argument 'projection'
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TypeError: gca() got an unexpected keyword argument 'projection'
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