heatmap | javascript heatmap | Canvas library

 by   xxx JavaScript Version: Current License: No License

kandi X-RAY | heatmap Summary

kandi X-RAY | heatmap Summary

heatmap is a JavaScript library typically used in User Interface, Canvas applications. heatmap has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Some javascript/canvas/web worker heatmap experimentation. Play along online at [You’ll need to use a browser that supports canvas and web workers. Right now that means Firefox, Safari, Chrome, or Opera.
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              heatmap has a low active ecosystem.
              It has 21 star(s) with 4 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 1 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of heatmap is current.

            kandi-Quality Quality

              heatmap has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              heatmap does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              heatmap releases are not available. You will need to build from source code and install.
              Installation instructions are available. Examples and code snippets are not available.
              heatmap saves you 13 person hours of effort in developing the same functionality from scratch.
              It has 37 lines of code, 0 functions and 3 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            heatmap Key Features

            No Key Features are available at this moment for heatmap.

            heatmap Examples and Code Snippets

            No Code Snippets are available at this moment for heatmap.

            Community Discussions

            QUESTION

            Python / Jupyter Notebook: Parsing one text file with multiple sets of data into a pandas dataframe
            Asked 2021-Jun-12 at 03:01

            I am a fairly new Python user and have been using pandas and matplotlib to do some data analysis for my research. In particular, I have a data file with 3 sets of data inside: 2 column vectors and an array (see link here to google drive for a simple 3x3 sample of the same format:Sample data. In the end, I need to plot this as a 2D heatmap with the column vectors specifying x and y axis and the array filling my heat points.

            I could use pandas.read_csv() with skiprows to do this for one file, but the dimension of each vector and array varies across all of the simulations I have run. Thus, I would have to find the start and end of each set of data for each different file. The biggest files I have are (229, 1), (229, 1), (229, 229).

            My question is this: is there a way to specify a start and end to each set of data based on the formatting approach that my output files have? This could be done either into pandas dataframe or into arrays. I prefer dataframes only for the ease of performing computations before plotting.

            Any help would be much appreciated!

            ...

            ANSWER

            Answered 2021-Jun-12 at 03:01

            There are a lot of ways to do this, I think it's all about data preprocessing or cleaning.

            Here's some tips:

            • your 3 datasets in 1 file are split by '\n\n' (two continual \n), you can open() it, then .read() all content, then .split('\n\n') it first.
            • for each split dataset, the first row is not important(or just has some name or (row,column) info), if they have some sort rule, you could simply skip it (maybe .split('\n')[1:]).
            • for each split dataset, other rows is the data content, you can pass it to pd._read_csv or something like that.

            Hope these tips can help you.

            Source https://stackoverflow.com/questions/67944665

            QUESTION

            Heatmap 25 millions points to render
            Asked 2021-Jun-11 at 09:39

            I need to render a heatmap with 5000x5000 size (25 million points) and update it every 10 seconds.

            Question: What approach I should follow if I would like to write this from scratch?

            ...

            ANSWER

            Answered 2021-Jun-11 at 09:39

            If you are displaying this in a single regular monitor (Full HD) that has a 1920 x 1080 resolution you won't probably be able to display every single point.

            This is because the resolution is actually the number of pixels you can represent - so your max, considering you are using the whole screen, would be 1920 pixels x 1080 pixels (~2M pixels/dots).

            So, in order to represent the amount of pixels you want, in a single regular monitor you have to go with the options below:

            • Group the items;
            • Adding a panel with scrolling bars;
            • Reduce the data set.

            After you decide on your strategy, you can use the D3 javascript library to plot it.

            Here you can find a good post about a strategy to group the items and them plot them using D3: https://int21.io/post/50-million-points/index.html

            Source https://stackoverflow.com/questions/67934496

            QUESTION

            Does HighCharts have a fundamental minimum height before it's rendering behaviour changes?
            Asked 2021-Jun-11 at 09:25

            Is there a fundamental minimum height for a highcharts heatmap?

            What we're trying to achieve is a very wide heatmap, that is 1 cell tall and 4,032 to 4,462 cells wide, with the chart pushed out the edge of the frame.

            Charts options are currently:

            ...

            ANSWER

            Answered 2021-Jun-11 at 09:25

            Here: http://jsfiddle.net/BlackLabel/e9Lp3xvu/ I have reproduced the issue without Angular.

            The problem is caused by the default value of tickPixelInterval for y-axis (72). As a solution you can reduce the value.

            Source https://stackoverflow.com/questions/67934046

            QUESTION

            Julia: Heatmap with color gradient centered at 0
            Asked 2021-Jun-10 at 23:46

            In a heatmap, how could I create a three-color gradient, with blue for negative values, red for positive values and white for zero, such that with many zero values, much of the heatmap would be white (and not light red as with the default gradient).

            ...

            ANSWER

            Answered 2021-Jun-10 at 22:07

            You can compute the maximum absolute value in your array, then use it to set the clims argument. c.f. http://docs.juliaplots.org/latest/generated/attributes_subplot/

            Source https://stackoverflow.com/questions/67923277

            QUESTION

            Vaadin heatmap does not support 40x40 (1600) points?
            Asked 2021-Jun-10 at 14:11

            In Vaadin 14.6.1, I tried to create a Vaadin heatmap foollowing the documentation / example from here.

            However, I encountered a few problems/questions, listed in descending order of importance below:

            1. The heatmap supported 30 rows by 30 columns; but when I tried 40 rows by 40 columns, the entire heatmap showed a single color (blue in my case).
            2. Is it possible to manually set the minimum numeric value and maximum numeric value for the color scheme. This way, if I plot my data one day and it has values in the range of 0 to 1, but on another dataset from another day, the numeric values range from between 0 and 0.5, the color scheme range won't automatically change (to being between 0 and 0.5) and confuse the user.
            3. In the documentation, it has the following methods listed, but they do not seem to exist in Vaadin 14.6.1
            ...

            ANSWER

            Answered 2021-May-27 at 15:02

            I'm not that experienced with Vaadin Chart, but these are the questions that I can comment on:

            (1) With 40x40 items you go over the threshold of 1000 in which the Chart switches into "turbo" mode for performance reasons. This seems to not be compatible with the heatmap series. You can disable turbo mode by setting plotOptions.setTurboThreshold(0);

            (2) Unfortunately the ColorAxis doesn't support this, it only has an API for min and max color. Definitely a valid use-case though, and it seems to be supported by the Highcharts library that the Vaadin Chart uses under the hood. You should consider opening a feature request for this in the Github repo.

            (3) This seems to be a documentation issue. The methods are available in later Vaadin platform versions, but not in 14.6.

            (5) In theory not, but in practice there will be a huge performance hit in the browser due to the excessive amount of DOM elements (quick test of 100x100 froze the browser for 10s). I'm afraid the component isn't really made for such extreme use-cases. In this case it might be better to utilize a low-level JS drawing library using the canvas, or draw an image on the server-side and display that in the browser. Maybe you can also consider modifying your use-case so that you only display one slice of your data and allow the user to switch between slices.

            Source https://stackoverflow.com/questions/67714268

            QUESTION

            Lower triangle mask with seaborn clustermap
            Asked 2021-Jun-09 at 21:34

            How can I mask the lower triangle while hierarchical clustering with seaborn's clustermap?

            ...

            ANSWER

            Answered 2021-Jun-09 at 21:34

            Well, the clustermap clusters the values according to similarity. This changes the order of the rows and the columns.

            You could create a regular clustermap, and in a second step apply the mask:

            Source https://stackoverflow.com/questions/67879908

            QUESTION

            How to disable visualization of gridlines in holoviews heatmap
            Asked 2021-Jun-09 at 14:02

            I am using hv.HeatMap to plot a connectiviy matrix. I would like to disable the viszualization of the gridlines. At first I thought this should be possible be disabling show_grid but this does not have any effect on the gridlines.

            For example, how would one disable the visulization in the last example from the documentation?

            ...

            ANSWER

            Answered 2021-Jun-09 at 14:02

            To activate or deactivate a grid you can add show_grid=True or show_grid=False to opts.HeatMap(...).

            But in your example there is no grid activated, so you can't deactivate the grid lines. The white lines you can see are coming through the background color (which is defined by default as white).

            You could change the background adding bgcolor ='#ABABAB' to opts.HeatMap(...), which makes a figure like

            .

            But sometimes you have to apply the changes you want to make directly in the bokeh figure object because not all the possibilities are added to holoviews keyword arguments. If you have to do this, you can follow this introduction.

            Extend your example with the following to add an alpha value to the background as an example:

            Source https://stackoverflow.com/questions/67888630

            QUESTION

            I can't seem to get plotly to display multiple graphs
            Asked 2021-Jun-07 at 04:03

            I want to create a nice graph in python, so I used plotly to create a graph, but I get an error.

            Maybe because I'm new to plotly, I don't understand the error in this code.
            The only thing I can tell is that my code is wrong.
            I want to display multiple graphs in plotly.

            ...

            ANSWER

            Answered 2021-Jun-07 at 03:56

            According to the documentation on adding traces to subplots, the add_trace and append_trace methods only take accept plotly graph_objects. Therefore, your code block:

            Source https://stackoverflow.com/questions/67865524

            QUESTION

            Building Heatmap with two separate series having "Year" and "Month" information
            Asked 2021-Jun-04 at 21:25

            I am working on a dataset

            ...

            ANSWER

            Answered 2021-Jun-04 at 21:25

            Just fill the titles_count with 1 first, since they denote 1 count per row.

            Source https://stackoverflow.com/questions/67843385

            QUESTION

            Reorder axis of heatmap based on non-numeric third variable - ggplot2
            Asked 2021-Jun-02 at 12:11

            I am creating a heatmap in ggplot2, and I want to reorder the Y-axis.

            After looking through past posts I understand how to reorder based on the X- and Y-axes variables, but I want to reorder the Y-axis based on a third, non-plotted, non-numeric variable in my data frame.

            My heatmap shows Terms vs Treatments, but each Term has a source database - this is what I want to order the Terms on. As you can see Terms A and D are from database 2, Term B is from database 1, Term C from database 3. So the y-axis should be ordered Term B, Term A, Term D, Term C. It is currently ordered Term D, C, B, A

            Edit: This is actually just an extract of my data, I have a lot of terms so would prefer not to have to manually specify the order. I don't have too many databases though, so would be happy to order those manually.

            ...

            ANSWER

            Answered 2021-Jun-02 at 12:11

            A quick solution is to add scale_y_discrete and with the limits argument, you can order your y axis with your source variable:

            Source https://stackoverflow.com/questions/67803837

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

            Vulnerabilities

            No vulnerabilities reported

            Install heatmap

            bundle exec rackup or just open heatmap.html in a browser directly. If you’re using Google Chrome (or Chromium) and want to open heatmap.html directly, you’ll need to start Chrome from the command line and pass --allow-file-access-from-files as an argument, or the worker will fail to spawn.
            bundle install
            bundle exec rackup or just open heatmap.html in a browser directly.

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            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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