colorbar | Dynamically updatable color bars for use with d3.js

 by   bmschmidt JavaScript Version: v1.0 License: BSD-3-Clause

kandi X-RAY | colorbar Summary

kandi X-RAY | colorbar Summary

colorbar is a JavaScript library. colorbar has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Draws or redraws the scale (if necessary) based on the current title, scale, etc. in the context of the given selection.
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            kandi-support Support

              colorbar has a low active ecosystem.
              It has 34 star(s) with 4 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 2 open issues and 3 have been closed. On average issues are closed in 1 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of colorbar is v1.0

            kandi-Quality Quality

              colorbar has 0 bugs and 0 code smells.

            kandi-Security Security

              colorbar has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              colorbar code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              colorbar is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              colorbar releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.
              colorbar saves you 32 person hours of effort in developing the same functionality from scratch.
              It has 86 lines of code, 0 functions and 2 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed colorbar and discovered the below as its top functions. This is intended to give you an instant insight into colorbar implemented functionality, and help decide if they suit your requirements.
            • Colorbarbar class
            • Create the given pointers .
            • Formats and returns a name .
            Get all kandi verified functions for this library.

            colorbar Key Features

            No Key Features are available at this moment for colorbar.

            colorbar Examples and Code Snippets

            No Code Snippets are available at this moment for colorbar.

            Community Discussions

            QUESTION

            R plotly separate functional legends
            Asked 2022-Mar-29 at 09:55

            I want to produce a plot via R plotly with independent legends while respecting the colorscale.

            This is what I have:

            ...

            ANSWER

            Answered 2022-Mar-19 at 15:21

            This isn't exactly what you're looking for. I was able to create a meaningful color bar, though.

            I removed the call for interaction between the groups and created a separate trace. Then I created legend groups and named them to create separate legends for gender and age. When I pull color = out of the call to create a colorbar, this synced the color scales.

            However, it assigns colors to the labels for age and gender and that's not meaningful! There are a few things that don't line up with your request, but someone may be able to build on this information.

            Source https://stackoverflow.com/questions/71494308

            QUESTION

            how to plot confusion matrix without color coding
            Asked 2022-Mar-23 at 02:35

            Of all the answers I see on stackoverflow, such as 1, 2 and 3 are color-coded.

            In my case, I wouldn´t like it to be colored, especially since my dataset is largely imbalanced, minority classes are always shown in light color. I would instead, prefer it display the number of actual/predicted in each cell.

            Currently, I use:

            ...

            ANSWER

            Answered 2022-Mar-22 at 15:32

            You can use a ListedColormap with just one color for the colormap. Using Seaborn would automate a lot of stuff, including:

            • setting annotations at the correct spot, with either black or white depending on the cell's darkness
            • some parameters to set division lines
            • parameters to set the tick labels

            Source https://stackoverflow.com/questions/71574168

            QUESTION

            X-axis label doesn't show on Pandas DataFrame plot with colorbar
            Asked 2022-Mar-16 at 04:46

            I want to make a pandas.DataFrame.plot with colorbar. For reproducibility, here I use the code in this post on stack overflow.

            ...

            ANSWER

            Answered 2022-Mar-15 at 09:36

            QUESTION

            How to mask seaborn heatmap while keeping the colorbar range
            Asked 2022-Feb-27 at 09:44

            I am trying to create a visualization of square matrix with seaborn heatmap, where all elements range between 0 and 1. However, I want to only show those greater than some threshold (ex. 0.5) and set other values to 0. Moreover, I want to set the range of colorbar to be shown between 0.5 and 1, but I do not want to adjust the full colormap to range between 0.5 and 1, but keep the original colormap range.

            For example, I attach two examples that I tried:

            1st example

            ...

            ANSWER

            Answered 2022-Feb-27 at 09:34

            Your second example seems fine on my end, but here is a simpler alternative:

            1. Use the Reds cmap with vmin=0.5 (no need to alter the cbar's ylim and yticklabels)
            2. Use the mask param to automatically mask thresholded values (no need to zero them out)
            3. Set the "bad" and "under" colors for displaying masked values on the heatmap and colorbar

            Source https://stackoverflow.com/questions/71282333

            QUESTION

            Is there a way to speed up looping over numpy.where?
            Asked 2022-Feb-24 at 11:42

            Imagine you have a segmentation map, where each object is identified by a unique index, e.g. looking similar to this:

            For each object, I would like to save which pixels it covers, but I could only come up with the standard for loop so far. Unfortunately, for larger images with thousands of individual objects, this turns out to be very slow--for my real data at least. Can I somehow speed things up?

            ...

            ANSWER

            Answered 2022-Feb-23 at 17:27

            If I understand the question correctly, You would like to see where any object is located, right? So if we start with one matrix (that is, all shapes are in one array, where empty spaces are zeros and object one consists of 1s, object 2 of 2s etc.) then You can create a mask, showing which pixels (or values in a matrix) are non-zero like this:

            my_array != 0

            Does that answer Your question?

            Edit for clarification

            Source https://stackoverflow.com/questions/71240258

            QUESTION

            Resize axes of top and right joint marginal plots to match central plot with matplotlib
            Asked 2022-Feb-15 at 01:17

            How do you size the axes of a marginal plot to match the size of a non-square central plot using matplotlib?

            In the image, you'll see that the top marginal plot is too wide, even though it shares the x-axis labels.

            Context: I'm trying to create a joint plot like in Seaborn, but with a non-square heatmap at center and bar graphs as the marginal plots. JointGrids isn't designed to work with heatmaps (which is okay, on to matplotlib!). Merging a matplotlib heatmap with subplot barplots gets me close, but I find one bargraph's axis is larger than the central heatmap even when I share axes.

            Minimum working example:

            ...

            ANSWER

            Answered 2022-Feb-15 at 01:17

            As the heatmap gets a default "equal" aspect ratio, and gets shrunk due to the colorbar, an idea is to manually resize the histograms once everything is created.

            Source https://stackoverflow.com/questions/71119762

            QUESTION

            How to modify intervals on matplotlib's qualitative color maps?
            Asked 2022-Feb-08 at 12:16
            import matplotlib.pyplot as plt
            import numpy as np
            
            ...

            ANSWER

            Answered 2022-Feb-08 at 12:16

            What about using numpy.clip to set the data below 0.25 to 0.25?

            Source https://stackoverflow.com/questions/71033501

            QUESTION

            How to organize the position of the legend, colorbar and image in the plot?
            Asked 2022-Jan-23 at 00:09

            I'm trying to plot some data, and I don't like the organization of the items. For example, I would like to have a bigger image and a smaller colorbar. When I modify the size of the figure still not proportional. And I also would like to tag each borehole to the legend, so I can identify it.

            This is the image I have now:

            and this is the code:

            ...

            ANSWER

            Answered 2022-Jan-23 at 00:09

            Two parts to the question, and at least three parts to this answer.

            Setting up the imports and the synthetic data. Whenever I find myself retyping or copy/pasting a complicated line with different parameters, I put in a function instead:

            Source https://stackoverflow.com/questions/70698358

            QUESTION

            How to change font size of xarray facetgrid colorbar labels?
            Asked 2022-Jan-14 at 08:59

            I'm using xarray's facetgrid to plot data from a dataArray. I want to plot the 12 months of data in grid form and insert the colorbar on the side. xarray already does all that, but I'm not sure how I can increase the font size of the colorbar label and the colorbar ticklabels. Here's an example to be reproduced:

            ...

            ANSWER

            Answered 2022-Jan-14 at 08:59

            One way is to remove the colorbar label definition from cbar_kwargs and define it in the end together with the size of the colorbar ticks. This gives more fine grained control:

            Source https://stackoverflow.com/questions/70696898

            QUESTION

            Matplotlib share x-axis between imshow and plot
            Asked 2022-Jan-04 at 21:52

            I am trying to plot two imshow and one plot above each other sharing their x-axis. The figure layout is set up using gridspec. Here is a MWE:

            ...

            ANSWER

            Answered 2022-Jan-04 at 19:44

            Constrained_layout was specifically designed with this case in mind. It will work with your gridspec solution above, but more idiomatically:

            Source https://stackoverflow.com/questions/70583705

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install colorbar

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            gh repo clone bmschmidt/colorbar

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