holoviews | With Holoviews , your data visualizes | Data Visualization library
kandi X-RAY | holoviews Summary
kandi X-RAY | holoviews Summary
| | | | --- | --- | | build status | [build status] | | coverage | [codecov] | | latest dev release | [dev-site] | | latest release | [defaults version] | | python | [python support] | | docs | [site] | | binder | [binder] | | support | [discourse] |. holoviews is an [open-source] python library designed to make data analysis and visualization seamless and simple. with holoviews, you can usually express what you want to do in very few lines of code, letting you
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Top functions reviewed by kandi - BETA
- Compute the layout of a layout
- Compute the range for a group
- Compute the appropriate ranges for the plot
- Get a dimension by its dimension
- Get plot data
- Get color data
- Pretty print the value
- Add color data
- Get data for an element
- Processes a histogram
- Save object to file
- Plot a histogram
- Construct an index from a dataset
- Validates callback arguments
- Validate the input array
- Get axes properties
- Return the CDS data
- Process an element
- Update a frame based on a key
- Get glyph data
- Create bar chart
- Get heat map data
- Set options for this object
- Generate a graph from a networkx graph
- Apply aggregation function
- Apply selection to this object
holoviews Key Features
holoviews Examples and Code Snippets
Community Discussions
Trending Discussions on holoviews
QUESTION
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:
...ANSWER
Answered 2022-Mar-25 at 08:47You can construct a dataframe yourself from the data you obtained
QUESTION
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.
ANSWER
Answered 2022-Mar-16 at 20:18So this is the follow up of your question that I answered earlier. To save an array to a geotiff you need to determine the geotransform, which means you need to know the coordinates of the upper left corner of your array and the resolution in x and y.
For your data it might work like this:
QUESTION
I have a DataFrame and I want to plot it in a scatter plot with different scatter colors depending on the sample name. I do it for example with:
...ANSWER
Answered 2022-Feb-24 at 21:59hvPlot accepts Bokeh-style colormaps, which are simple lists of colors, so you can use Python list slicing code like [:128] (take the first half of a 256-color list) on them and then pass the resulting (shorter) list to hvPlot:
QUESTION
I would like to realize a holoviews plot with a scrollbar for the time/x axis.
In detail, I want to plot a long ecg signal (20 minutes) and be able to display a frame of e.g. 10 seconds with the possibility to scroll along the entire signal.
Is there a way to realize this? Thank you!
...ANSWER
Answered 2022-Feb-23 at 18:47There are at least two options you should know about.
1. Option
Enable the scrolling by mouse.
For this you have to activate the tool xwheel_pan
for your figure.
See this very basic example:
QUESTION
Thanks to this post, I am able to share only the x-axis between two curves in holoviews:
...ANSWER
Answered 2022-Feb-03 at 21:43In HoloViews, axes are shared if they are considered to have the same Dimension. Dimensions are considered the same if they have the same name and (optional) label, so simply changing the label is not enough to make it match a Dimension on another plot with a different name. See the user guide for the details, but here you can change the QuadMesh to declare that its x dimension is the same as the one from the Curve.
QUESTION
I am using holoviews with the bokeh backend, but for one of the layers, I need to display images at a number of pionts. I've found this bokeh demo (https://docs.bokeh.org/en/latest/docs/reference/models/glyphs/image_url.html), which does what I want, but I can't figure out how to get add_glyph
to work through holoviews.
I'm trying to use holoviews hooks to access the bokeh backend like this:
...ANSWER
Answered 2021-Dec-16 at 21:43In HoloViews you'd just use the RGB element: https://holoviews.org/reference/elements/bokeh/RGB.html
QUESTION
I am creating a dash-app, that makes some callbacks until it finally draws a 3D-scatter-plot. This takes about one or two seconds. I would like to know if there is a way to make a plot in the beginning that just contains text (something like "Plot is being computed. This can take some seconds.").
So far I am doing something like
...ANSWER
Answered 2021-Dec-11 at 09:01You can use:
QUESTION
I ran this example code from Holoviews, but it does not generate the image and it doesn't give any errors. Anyone knows why the image is not showing? Here is the link of the code: http://holoviews.org/gallery/apps/bokeh/mandelbrot.html
...ANSWER
Answered 2021-Oct-25 at 14:28The HoloViews examples in examples/gallery/apps/bokeh/ are Bokeh apps that can be served by saving them to a .py file like app.py
and then running bokeh serve app.py
. To use them in Jupyter, you can delete the lines starting with doc
(not used in Jupyter) and instead add code at the end to install the Jupyter support and select which object to display:
QUESTION
plotly library has some nice sankey diagrams https://plotly.com/python/sankey-diagram/
but the data requires you to pass indexes of the source/target pairs.
...ANSWER
Answered 2021-Oct-06 at 17:24- the structure is clearly a pandas dataframe constructor format
- create a dataframe from it, plus the key series of the nodes
- from this it's simple to construct a Sankey plot from it
QUESTION
I'm building a dashboard in Holoviews and try to serve it with panel.serve() from Jupyter notebook. It is working fine on my local computer, but I need to share it with other computers in my corporate network so people can actually use it. I can't deploy it to Heroku or something like that due to privacy concerns. Here is the sample code:
...ANSWER
Answered 2021-Sep-17 at 18:37I use pn.serveable(dash)
in the .py file and then launch panel serve --port 8086 file.py
separately, but I assume that would work similarly to what you are doing. The typical "gotcha" is that you need to ensure that whatever port you are using is not being firewalled by your networking configuration, so that other computers can access it. You may need to add an exception to your machine's firewall rules to open up a specific port. You can test that using any program on that port (a web server, ssh client, telnet client, etc.); panel's server doesn't have any special requirements in that regard. There are a lot of details at https://docs.bokeh.org/en/latest/docs/user_guide/server.html#deployment-scenarios , but configuring your system not to block a certain port is something you'll have to work out with your IT department in a corporate setting.
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