I am trying to set the theme for bokeh plots on jupyter lab.
To do so I am following the official docs, copying the exact code from https://docs.bokeh.org/en/latest/docs/reference/themes.html.
However, I get an error cannot import name 'built_in_themes'.
I assume the default themes location changed, but can't seem to find anything else besides the said page documenting bokeh.themes.
I assume the default themes location changed
No, it has only ever been in the same location since it was added in version 1.0. The explanation is almost certainly that the version you are using is older than that.
As bigreddot said, same location.
Check your Bokeh version:
$ python3.7
>>> import sys
>>> print(sys.version)
>>> import bokeh
>>> print(bokeh.__version__)
Or via jupyter notebook:
import numpy as np
from bokeh.io import output_notebook, show
from bokeh.plotting import figure
Following the example here provided, the output should look like this:
Maybe you are just working in an environment with an older version.
Related
I am sorry if this is a silly question but I came across a wierd behaviour. I have a folder with some files, one of them named inspect.py
However, if I change the name inspect.py to somethingelse.py, importing pandas starts working.
I would really like to understand why this is. I assume it has something to do with the module called inspect which (I THINK??) comes by default installed.
Can anyone help me understand this, please?
Looking a np.ma.core.py I see
import builtins
import inspect
import operator
import warnings
import textwrap
import re
These are all base Python modules. Your local inspect.py gets imported instead, which messes with the importing the rest of np.ma.core, and numpy in turn. And pandas depends on numpy.
Working on a salary dataset. Everything works fine except when I use the python-graphviz module in Spyder 3.3.2 to show the decision tree graph it simply shows an image icon in console window. Well the same thing works on other systems. What I'm missing here?
The output image is here.Console Output
from sklearn.tree import DecisionTreeClassifier
dtf = DecisionTreeClassifier()
dtf.fit(X_train, y_train)
from sklearn.tree import export_graphviz
export_graphviz(dtf, out_file="tree.dot", class_names=["Less than 50k",
"More than 50k"])
import graphviz
with open("tree.dot") as f:
dot_graph = f.read()
graphviz.Source(dot_graph)
(spyder maintainer here) This seems a limitation of QtConsole, which is the package that powers our IPython consoles.
Please open an issue on the repo referenced above about this so we don't forget to fix it in the future.
I am using pycharm after upgrading my python to python 3.5.
I re-run a standard code that i had in place and had a problem with plt.show()
example:
import matplotlib
import matplotlib.pyplot as plt
plt.plot([1,2,3,4])
plt.show()
The suggestion by DavidG made things worked fine. But this time when I do
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
plt.plot([1,2,3,4])
plt.show()
i get an error saying
/apps/qtrinst/install/python/anaconda/envs/sx_anaconda/lib/python3.5/site-packages/matplotlib/__init__.py:1401: UserWarning: This call to matplotlib.use() has no effect
because the backend has already been chosen;
matplotlib.use() must be called *before* pylab, matplotlib.pyplot,
or matplotlib.backends is imported for the first time.
It didnt get this error before-not sure what happened there.
I think the problem is with your "backend". The documentation has a section entitled "What is a backend?" which will be helpful.
I'm not familiar with WebAgg but I don't think you want to be using it. A more conventional one might be TkAgg which requires Tkinger or Qt4Agg which requires PyQt4. You can switch backends using
import matplotlib
matplotlib.use("TkAgg") # Do this before importing pyplot!
import matplotlib.pyplot as plt
Try using a different Backend. It worked for me when I used QtAgg
PyQt
you will need to install some version of PyQt. At the moment:
pip install PyQt6
Specify the GUI backend
import matplotlib
matplotlib.use("QtAgg")
Try plt.show()
from matplotlib import pyplot as plt
# some code here
plt.show()
This worked flawlessly for me. Hope It worked for you too.
I am trying to make a span in bokeh using jupyter widgets.
from ipywidgets import interact
import numpy as np
from scipy.stats import norm
from bokeh.sampledata.daylight import daylight_warsaw_2013
from bokeh.io import push_notebook, show, output_notebook
from bokeh.plotting import figure
from bokeh.models import Span
output_notebook()
p = figure()
x_axis = np.arange(-10, 10, 0.001)
# Mean = 0, SD = 2.
y_axis = norm.pdf(x_axis,0,2)
p.line(x_axis, y_axis, line_dash='solid', line_width=2)
cutoff = Span(location=1,
dimension='height', line_color='green',
line_dash='dashed', line_width=2)
p.add_layout(cutoff)
show(p, notebook_handle=True)
def update(new_cutoff_location):
cutoff.location = new_cutoff_location
push_notebook()
interact(update, new_cutoff_location = 1.0)
When I run this code I get ValueError: PATCH-DOC message requires at least one event at push_notebook(). I suspect this indicates that the update to cutoff.location isn't getting detected, so it it looks as if there are no changes to send. Passing the handle doesn't seem to make a difference. Looking at the sample code in this github issue, it looks like there used to be an set method on span elements, but there doesn't appear to be one on my span element cutoff. Maybe there is a different function I am supposed to call to register the change?
I'm on bokeh 0.12.11 with jupyter 1.0.0, jupyter-client 5.1.0, jupyter-console 5.2.0, jupyter-core 4.4.0
This appears to be a regression in Bokeh 0.12.11. Your code works with version 0.12.10 so the immediate workaround is to downgrade. I've made GitHub issue here that you can follow. We will issue a new point release with a fix ASAP.
UPDATE: The issue is now fixed in recent versions of Bokeh
I am using Plotly to make graphs in my IPython notebook. I am able to view graphs on my IPython notebook when I upload them on GitHub they are displayed as blank spaces.
I read on the web that Plotly currently does not support iframes and hence the issue, but is there a workaround?
Here's the link to my GitHub Ipython notebook:
https://github.com/dhavalbhinde/bhinde_dhaval_spring2017/blob/master/Finals/Analysis%203.ipynb
Please, can someone advice how should I handle them?
I found a way to show Plotly plots on Github. They aren’t interactive anymore but it’s better than nothing.
First
import plotly.io as pio
pio.renderers
you can see the list of available renders.
*if you get an error on this step you can simply just install orca:
conda install -c plotly plotly-orca
and then there are 2 possible ways.
you can pass "svg" to .show() like this:
fig = px.scatter_3d(iris, x=transformed_iris['component1'], y=transformed_iris['component2'], z=transformed_iris['component3'],color='species')
fig.show(renderer="svg")
or you can set the pio.renderers.default to svg:
pio.renderers.default = "svg"
Import these and this and it will work :
from plotly.offline import plot, iplot, init_notebook_mode
import plotly.graph_objs as go
init_notebook_mode(connected=True)