jpandas | Implementation of Pandas | Data Visualization library

 by   c-bata Java Version: Current License: Apache-2.0

kandi X-RAY | jpandas Summary

kandi X-RAY | jpandas Summary

jpandas is a Java library typically used in Analytics, Data Visualization, Pandas applications. jpandas has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

JPandas is an implementation of Pandas (Python Data Analysis Library) on java. In data science fields, We often use Python or R. Because these language offers some useful function for analyzing data. DataFrame is one of the powerful data structure for that. If we implement result of analysis to real application (for example android app), JPandas helps it.

            kandi-support Support

              jpandas has a low active ecosystem.
              It has 29 star(s) with 13 fork(s). There are 4 watchers for this library.
              It had no major release in the last 6 months.
              There are 2 open issues and 0 have been closed. On average issues are closed in 961 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of jpandas is current.

            kandi-Quality Quality

              jpandas has 0 bugs and 39 code smells.

            kandi-Security Security

              jpandas has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              jpandas code analysis shows 0 unresolved vulnerabilities.
              There are 2 security hotspots that need review.

            kandi-License License

              jpandas is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              jpandas releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              jpandas saves you 123 person hours of effort in developing the same functionality from scratch.
              It has 310 lines of code, 19 functions and 17 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed jpandas and discovered the below as its top functions. This is intended to give you an instant insight into jpandas implemented functionality, and help decide if they suit your requirements.
            • Initializes the Snackbar
            • Returns the standard deviation
            • Returns the mean of the series
            • Returns the mean values of the series
            • Returns the average of the elements in this sequence
            • Creates a human readable description of this object
            • Returns a string representation of this collection
            • Override this method to handle menu item selection
            Get all kandi verified functions for this library.

            jpandas Key Features

            No Key Features are available at this moment for jpandas.

            jpandas Examples and Code Snippets

            No Code Snippets are available at this moment for jpandas.

            Community Discussions


            Connecting All Nodes Together on a Graph
            Asked 2022-Mar-30 at 20:34

            I have the following network graph:



            Answered 2022-Mar-30 at 04:35

            You could just update relations using complete, and than filter out the rows where from is equal to to, which gives arrows from a node to itself.



            R: Connecting Points in Arbitrary Order
            Asked 2022-Mar-15 at 18:09

            I am working with the R programming language.

            I generated the following random data set in R and made a plot of these points:



            Answered 2022-Mar-15 at 17:00

            You can order your data like so:



            Fixing Cluttered Titles on Graphs
            Asked 2022-Mar-07 at 19:08

            I made the following 25 network graphs (all of these graphs are copies for simplicity - in reality, they will all be different):



            Answered 2022-Mar-03 at 21:12

            While my solution isn't exactly what you describe under Option 2, it is close. We use combineWidgets() to create a grid with a single column and a row height where one graph covers most of the screen height. We squeeze in a link between each widget instance that scrolls the browser window down to show the following graph when clicked.

            Let me know if this is working for you. It should be possible to automatically adjust the row size according to the browser window size. Currently, this depends on the browser window height being around 1000px.

            I modified your code for the graph creation slightly and wrapped it in a function. This allows us to create 25 different-looking graphs easily. This way testing the resulting HTML file is more fun! What follows the function definition is the code to create a list of HTML objects that we then feed into combineWidgets().



            Adding Contour Lines to 3D Plots
            Asked 2022-Mar-04 at 20:53

            I am working with the R programming language. I made the following 3 Dimensional Plot using the "plotly" library:



            Answered 2022-Mar-04 at 17:52

            You were almost there.
            The contours on z should be defined according to min-max values of z:



            How can I create a doughnut chart with rounded edges only on one end of each segment?
            Asked 2022-Feb-28 at 08:52

            I'm trying to build a doughnut chart with rounded edges only on one side. My problem is that I have both sided rounded and not just on the one side. Also can't figure out how to do more foreground arcs not just one.



            Answered 2022-Feb-28 at 08:52

            The documentation states, that the corner radius is applied to both ends of the arc. Additionally, you want the arcs to overlap, which is also not the case.

            You can add the one-sided rounded corners the following way:

            1. Use arcs arc with no corner radius for the data.
            2. Add additional path objects corner just for the rounded corner. These need to be shifted to the end of each arc.
            3. Since corner has rounded corners on both sides, add a clipPath that clips half of this arc. The clipPath contains a path for every corner. This is essential for arcs smaller than two times the length of the rounded corners.
            4. raise all elements of corner to the front and then sort them descending by index, so that they overlap the right way.



            Understanding "list" and "" commands
            Asked 2022-Feb-25 at 10:55

            Over here (Directly Adding Titles and Labels to Visnetwork), I learned how to directly add titles to graphs made using the "visIgraph()" function:



            Answered 2022-Feb-25 at 10:55

            Please find below one possible solution.


            • Your data



            Is it possible to not reorder elements when using d3.join?
            Asked 2022-Feb-18 at 23:13

            In d3, we may change the order of elements in a selection, for example by using raise.

            Yet, when we rebind the data and use join, this order is discarded.

            This does not happen when we use "the old way" of binding data, using enter and merge.

            See following fiddle where you can click a circle (for example the blue one) to bring it to front. When you click "redraw", the circles go back to their original z-ordering when using join, but not when using enter and merge.

            Can I achive that the circles keep their z-ordering and still use join?



            Answered 2022-Feb-18 at 23:13

            join does an implicit order after merging the enter- and update-selection, see

            The selection order after the data binding in your example is still red, blue, green even if the document order is changed. So the circles are reordered to the original order using join.

            You can get around that by changing the data binding reflecting the change in the document order. I did that here, by moving the datum of the clicked circle to the end of the data array.



            Is there way in ggplot2 to place text on a curved path?
            Asked 2022-Feb-02 at 10:17

            Is there a way to put text along a density line, or for that matter, any path, in ggplot2? By that, I mean either once as a label, in this style of xkcd: 1835, 1950 (middle panel), 1392, or 2234 (middle panel). Alternatively, is there a way to have the line be repeating text, such as this xkcd #930 ? My apologies for all the xkcd, I'm not sure what these styles are called, and it's the only place I can think of that I've seen this before to differentiate areas in this way.

            Note: I'm not talking about the hand-drawn xkcd style, nor putting flat labels at the top

            I know I can place a straight/flat piece of text, such as via annotate or geom_text, but I'm curious about bending such text so it appears to be along the curve of the data.

            I'm also curious if there is a name for this style of text-along-line?

            Example ggplot2 graph using annotate(...):

            Above example graph modified with curved text in Inkscape:

            Edit: Here's the data for the first two trial runs in March and April, as requested:



            Answered 2021-Nov-08 at 11:31

            Great question. I have often thought about this. I don't know of any packages that allow it natively, but it's not terribly difficult to do it yourself, since geom_text accepts angle as an aesthetic mapping.

            Say we have the following plot:



            How to add/append customized plot in for loop to Single subplot in Python using Matplotlib?
            Asked 2022-Jan-04 at 09:09

            I do realize this has already been addressed here (e.g., matplotlib loop make subplot for each category, Add a subplot within a figure using a for loop and python/matplotlib). Nevertheless, I hope this question was different.

            I have customized plot function pretty-print-confusion-matrix stackoverflow & github. Which generates below plot

            I want to add the above-customized plot in for loop to one single plot as subplots.



            Answered 2022-Jan-04 at 09:09

            Okay so I went through the library's github repository and the issue is that the figure and axes objects are created internally which means that you can't create multiple plots on the same figure. I created a somewhat hacky solution by forking the library. This is the forked library I created to do what you want. And here is a an example piece of code:



            Constructing a hexagonal heat-map with custom colors in each cell
            Asked 2021-Dec-29 at 16:28

            I would like to generate a hexagonal lattice heat-map in which each cell represents a group. Likewise, each cell would be a hexagon with a unique color (fill, set by a column color in the data-frame) value, and a saturation (alpha) value corresponding to continuous decimal values from a chemical concentration dateset.

            I would like to use a standardized data format which would allow me to quickly construct figures based on standardized datasets containing 25 groups.

            For example, a datasheet would look like this:



            Answered 2021-Dec-22 at 01:52

            If you're open to creating the plot in Python, the following approach would work:


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


            No vulnerabilities reported

            Install jpandas

            You can download it from GitHub.
            You can use jpandas like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the jpandas component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer For Gradle installation, please refer .


            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 c-bata/jpandas

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