bokeh | Bokeh is a simple , scalable and blazing-fast task queue | Runtime Evironment library

In BokehJS 2.4.2 the BoxZoomTool is always active by default, even when setting the active property to false when adding the tool.

I am taking data with latitude, longitude, and a z value and interpolating it using a cubic method. The values seem to be saved in a numpy array. Is there a way to save the interpolated results to a pandas dataframe? I'm trying to save it with a longitude, latitude, and z value column for the interpolated result.

The input file can be found here and is called nutrition.csv. Here is what I have done so far:

I want to install packages from poetry.lock file; using poetry install.

However, the majority of packages throw the exact same error, indicating a shared fundamental problem.

What is causing this? What is the standard fix?

Specification:

• Windows 10,
• Visual Studio Code,
• Python 3.8.10 & Poetry 1.1.11,
• Ubuntu Bash.

Terminal:

• rm poetry.lock
• poetry update
• poetry install

I have generated an interpolation map using the scipy.interpolate module. I am needing some help saving the map as a .tiff file and saving it to my directory. However, I'm not sure if I need to convert it to a numpy array or not, as it needs to have the latitude, longitude, and the interpolated data in each cell. Any help would be much appreciated!

Here is the data. The nutrition.csv file can be found here.

I'm trying to make a dropdown menu with Bokeh that highlights the points in clusters I found. I have the dropdown menu working, but now I want to be able to visualize another categorical variable by color: Noun Class with levels of Masc, Fem, and Neuter. The problem is that the legend won't update when I switch which cluster I'm visualizing. Furthermore, if the first cluster I visualize doesn't have all 3 noun classes in it, the code starts treating all the other clusters I try to look at as (incorrectly) having that first cluster's noun class. For example, if Cluster 0 is the default and only has Masc points, all other clusters I look at using the dropdown menu are treated as only having Masc points even if they have Fem or Neuter in the actual DF.

My main question is this: how can I update the legend such that it's only attending to the respective noun classes of 'Curr'

Here's some reproducible code:

I have a local python project called jive that I would like to use in an another project. My current method of using jive in other projects is to activate the conda env for the project, then move to my jive directory and use python setup.py install. This works fine, and when I use conda list, I see everything installed in the env including jive, with a note that jive was installed using pip.

But what I really want is to do this with full conda. When I want to use jive in another project, I want to just put jive in that projects environment.yml.

So I did the following:

1. write a simple meta.yaml so I could use conda-build to build jive locally
2. build jive with conda build .
3. I looked at the tarball that was produced and it does indeed contain the jive source as expected
4. In my other project, add jive to the dependencies in environment.yml, and add 'local' to the list of channels.
5. create a conda env using that environment.yml.

When I activate the environment and use conda list, it lists all the dependencies including jive, as desired. But when I open python interpreter, I cannot import jive, it says there is no such package. (If use python setup.py install, I can import it.) How can I fix the build/install so that this works?

Here is the meta.yaml, which lives in the jive project top level directory:

Thanks to this post, I am able to share only the x-axis between two curves in holoviews:

I have created a scatter plot with bokeh. I want to generate a best fit polynomial curve on the data, and superimpose the curve on the cloud of points.

I have generated a 2nd degree polyline with polyfit:

I am receiving API data that I'm trying to work into a Bokeh stacked bar graph. The Bokeh documentation shows that I require this format: