I trying to run the following code in Jupyter Notebook. But it didn't work and throw out that the server is done.
I could import mayavi, but I could not 'from mayavi import malb'
%gui qt
from mayavi import mlab
import numpy as np
x, y, z = np.mgrid[-10:10:20j, -10:10:20j, -10:10:20j]
s = np.sin(xyz)/(xyz)
mlab.pipeline.volume(mlab.pipeline.scalar_field(x,y,z,s))
mlab.savefig('test')
The sever just shut down.
Related
My Jupyter Notebook server freezes when I call the style property of a large pandas DataFrame, as in this example:
import pandas as pd
import numpy as np
df = pd.DataFrame(np.random.randn(9999,3),columns=list("ABC"))
df.style
When I replace 9999 by 999 in the above code this issue doesn't occur. The same script also runs fine in the Anaconda prompt. What could be the cause of the freeze?
i must install matplotlib on a offline PC with python 3.5....to run some scripts. I copy the lib to the Right path on the offline PC....all other lib like reportlab are running. But if i trie to write something with matplotlib.pyplot as plt i got the Error Message "ImportError:cannot Import 'path'".
a the first step i
Import matplotlib
matplotlib.use('aggs')
Import matplotlib.pyplot as plt
the biggest Problem i cant download something on this offline pc.
So i am rly new to write some codes with python so pls dont jugde me guys =)
So the frist step was delet the old libs and use older versions of matplotlib
actuel i use 3.0.2.
i copy the Folders matplotlib, matplotlib-3.0.2.dist-info and matplotlib-3.0.2-py3.5-nspkg.pth
import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt
fig = plt.figure(figsize=(9.5, 6), dpi=450)
ax = fig.gca()
ax.set_xticks(np.arange(tick_scale_x))
ax.set_yticks(np.arange(tick_scale_y))
plt.title(dia_title, fontsize=20, color='black')
plt.xlabel(axis_label_x)
plt.ylabel(axis_label_y)
I am currently doing a Tensorflow course on Udacity. The code is executed there in Google Colaboratory.
Now I tryed to run the code locally on Jupyter Notebook. By doing this I get an error message.
The code is:
from __future__ import absolute_import, division, print_function, unicode_literals
import os
import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
from tensorflow.keras.preprocessing.image import ImageDataGenerator
import logging
logger = tf.get_logger()
logger.setLevel(logging.ERROR)
_URL = 'https://storage.googleapis.com/mledu-datasets/cats_and_dogs_filtered.zip'
zip_dir = tf.keras.utils.get_file('cats_and_dogs_filterted.zip', origin=_URL, extract=True)
zip_dir_base = os.path.dirname(zip_dir)
!find $zip_dir_base -type d -print
In Google Colaboratory it runs fine. On Jupyter Notebook I get after the last part the error message that it is the false date type.
What does the following line means?
!find $zip_dir_base -type d -print
What do I have to change to run it in Jupyter Notebook?
You can check out this code from deep learning with python book. its the same datasets but it runs locally.
https://github.com/fchollet/deep-learning-with-python-notebooks/blob/master/5.2-using-convnets-with-small-datasets.ipynb
I recently started using Pycharm instead of Jupyter on my laptop to do some light scientific work(mainly because I like how it auto-completes the code).
this code works fine I Jupyter
import sympy as sp
import matplotlib.pyplot as plt
x = sp.symbols("x")
sp.Integral(x, x)
but when I run it in Pycharm, nothing happens and I don't get any output and I don't know why.
I am trying to plot image using jupyter notebook.
import pylab as plt
import numpy as np
Z=np.array(((1,2,3,4,5),(4,5,6,7,8),(7,8,9,10,11)))
im = plt.imshow(Z, cmap='hot')
plt.colorbar(im, orientation='horizontal')
plt.show()
And I get some strange error.
When I ran same code in Pycharm, It worked but wont work in jupyter notebook.
.