hvplot | A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews

 by   holoviz Python Version: v0.8.4 License: BSD-3-Clause

kandi X-RAY | hvplot Summary

kandi X-RAY | hvplot Summary

hvplot is a Python library typically used in Data Science applications. hvplot has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can download it from GitHub.

The PyData ecosystem has a number of core Python data containers that allow users to work with a wide array of datatypes, including:. Several of these libraries have the concept of a high-level plotting API that lets a user generate common plot types very easily. The native plotting APIs are generally built on Matplotlib, which provides a solid foundation, but means that users miss out the benefits of modern, interactive plotting libraries for the web like Bokeh and HoloViews. hvPlot provides a high-level plotting API built on HoloViews that provides a general and consistent API for plotting data in all the abovementioned formats. hvPlot can integrate neatly with the individual libraries if an extension mechanism for the native plot APIs is offered, or it can be used as a standalone component. To start using hvplot have a look at the installation instructions and check out the current functionality in the User Guide.

            kandi-support Support

              hvplot has a highly active ecosystem.
              It has 763 star(s) with 87 fork(s). There are 25 watchers for this library.
              There were 2 major release(s) in the last 12 months.
              There are 254 open issues and 367 have been closed. On average issues are closed in 192 days. There are 12 open pull requests and 0 closed requests.
              It has a positive sentiment in the developer community.
              The latest version of hvplot is v0.8.4

            kandi-Quality Quality

              hvplot has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              hvplot 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

              hvplot releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              hvplot saves you 2089 person hours of effort in developing the same functionality from scratch.
              It has 4926 lines of code, 443 functions and 39 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed hvplot and discovered the below as its top functions. This is intended to give you an instant insight into hvplot implemented functionality, and help decide if they suit your requirements.
            • Process data
            • Rename columnar data
            • Merge dimensions
            • Check if data is a pandas DataFrame
            • Plot a histogram plot
            • Raise an error if the plot is not available
            • Filter options based on eltype
            • Get options for an element
            • Draw a networkx grid
            • Returns True if symmetric is symmetric
            • Returns a heatmap
            • Draw a shell
            • Reduce the histogram
            • Monkey patch the plotting API
            • Processes the crs argument
            • Print help
            • Return a Labels object
            • Create a vector field
            • Draw the graph G
            • Draws a circular layout
            • Generate a pandas dataframe with the data for each class
            • Displays parallel coordinates
            • Transfer options from Bokeh backend
            • Visualize the area of the curve
            • Convert data to RGB
            • Draw networkx edges
            Get all kandi verified functions for this library.

            hvplot Key Features

            No Key Features are available at this moment for hvplot.

            hvplot Examples and Code Snippets

            No Code Snippets are available at this moment for hvplot.

            Community Discussions


            Managing large number of data in holoviews/hvplot curve and scatter plots
            Asked 2022-Apr-08 at 14:56

            Let's say I have a large DataFrame with lots of rows and I want to do a simple line plot of the data using hvplot/holoviews.




            Answered 2022-Apr-08 at 14:56

            Datashader is not limited to multidimensional data, so just add datashade=True or rasterize=True (which is preferred in most cases, since it lets Bokeh provide colorbars and hover information).

            Source https://stackoverflow.com/questions/71785389


            Subset of colormap in holoviews/hvplot
            Asked 2022-Feb-24 at 21:59

            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:



            Answered 2022-Feb-24 at 21:59

            hvPlot 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:

            Source https://stackoverflow.com/questions/71250975


            ggplot2: Plotting Andrews curves
            Asked 2022-Jan-26 at 17:57

            I am trying to learn about Andrews plots by doing. I know R has the andrews package that uses the base plotting system, but I wanted to use ggplot2. I followed the andrews_curves function implementation in the pandas library.

            I have managed to translate the data transformation steps of the Python function:



            Answered 2022-Jan-26 at 13:38

            The code below seems to do what you want and, by eye, matches the plot on the Wikibedia page to which you link.

            The only awkward piece was duplicating each row of the iris data frame for each value of T between -pi and pi. It's critical that the value passed to uncount() is the same as the length of the vector t.

            I've taken the order of the columns in the formula for the Andrews score of each row to be the order in which they appear in the iris data frame. I don't know what effect changing the order of the columns would have.

            Source https://stackoverflow.com/questions/70862871


            Turn active tools for NdOverlay object off
            Asked 2022-Jan-19 at 07:46

            I have an overlay figure using hvplots and would like to turn all tools off by default. I know that when you have a figure handle, this could be done as described here, using plot.toolbar.active_drag = None. However, when trying to use this approach on a Ndoverlay object, I get the error 'NdOverlay' object has no attribute 'toolbar'. I also tried to add the overlay to an empty holoview figure with fig.add_layout and fig.add_glyphs, but this didn't work either. How can I achieve the desired behavior?




            Answered 2022-Jan-19 at 07:46

            I found a way to do it based on the answers to this question, by rendering it as a bokeh figure.

            Source https://stackoverflow.com/questions/70753812


            Prevent plot generating a line from end to end?
            Asked 2022-Jan-03 at 19:50

            I am trying to plot a set of data with HVPlots that is basically 2 distinct sets of data, which have overlapping but not similar X-axis values. For example, one set of data might have x values that the other set does not. My problem is that one data set will generate a giant line from the lowest available data value to the largest available data value, which is not desirable.

            Is there a way to prevent this giant line from forming? The data comes from a Pandas data frame. Thank you in advance.

            Here is the CSV data, sorry for large text blob.



            Answered 2022-Jan-03 at 19:50

            That line coming across is joining two different charts. The data contains 2 "Sensors" which have (technically) overlapping x axis values.

            what you need to do is filter out the data by Sensor, and plot them individually.

            data[data.Sensor.eq('Hyperion')] this will give you data filtered only for the "Hyperion" sensor.

            you can do the same for all unique sensors, and then plot them as individual trances on the same x and y axis to get a multi lined chart.

            Source https://stackoverflow.com/questions/70570335


            Make a Plot Bar from Pandas multilevel dataframe
            Asked 2021-Dec-03 at 10:31

            I'm having troubles trying to make a bar plot from a pandas dataframe, which should be easy but I can't make it work. I have a dataframe that looks like that:

            Data A Data B Data C timestamp 06:54:00 0.1 0.2 0.3

            But instead of 3 columns with Data, I have 99. The point is that I am trying to do a bar plot representing in the x axis the different Data and in the y axis the values.

            I tried with:



            Answered 2021-Nov-30 at 16:54

            Does this answer your question?

            Source https://stackoverflow.com/questions/70173033


            Output type is currently not supported when using pycharm/jupyter/hvplot
            Asked 2021-Nov-29 at 20:57

            I am using jupyter with pycharm. When I try to plot data with hvplot, I get an error saying "Output type is currently not supported". I assume pycharm doesn't support javascript. Does anyone know how to solve this issue? My code is like this:



            Answered 2021-Nov-29 at 20:57

            The problem is obsolete in PyCharm 2021.3 where the new Jupyter support is introduced. Here is the corresponding ticket https://youtrack.jetbrains.com/issue/PY-48538.

            2021.3 Release Candidate (RC) is available here https://www.jetbrains.com/pycharm/nextversion/

            Source https://stackoverflow.com/questions/70154841


            Geoviews error : "Supplied data does not contain specified dimensions"
            Asked 2021-Oct-26 at 12:27

            When I try to plot Postgis Linestring, thanks to gv.Path() or hvplot(geo=True), I have this error : Supplied data does not contain specified dimensions, the following dimensions were not found: ['Longitude', 'Latitude'].



            Answered 2021-Oct-14 at 19:15

            GeoViews needs to know which of your data columns or dimensions should be used for latitude and longitude. I think you can either rename the data columns to "Longitude" and "Latitude", or you can tell GeoViews what the dimensions are named with something like gv.Path(data, ['lon','lat']). There's probably a way to supply the names explicitly to hvPlot as well, but I'm not sure how to do that.

            Source https://stackoverflow.com/questions/69571957


            css "tooltips" for both mouse hover & keyboard focus
            Asked 2021-Sep-08 at 08:28

            I have a website where I document a list of installed pythonic libraries.

            For each library, I want to have available:

            • The name of the library (obviously)
            • A link to the documentation for the library (because documentation is useful)
            • A brief description of the library (so people can quickly see what the library does)
            • The currently installed version (to stop people asking me "Are you using version x.y?")

            My current solution is to use the name as the text of a link, href'd to its documentation, and accept that the version & description are supplementary information, and can be made available to the user using a tool-tip - so they can sit in a title attribute




            Answered 2021-Sep-08 at 08:25

            Use focus-within rather than focus

            Source https://stackoverflow.com/questions/69099284


            finding a 15minutes with highest value in 10 years in pandas
            Asked 2021-Aug-28 at 23:21

            I have a dataframe with 15minutes observations for 10 years. I want to find the 15minutes that has often the highest value over the years.



            Answered 2021-Aug-28 at 23:21

            I solved my problem: to get 8hours that are discrete,

            Source https://stackoverflow.com/questions/68967664

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


            No vulnerabilities reported

            Install hvplot

            hvPlot supports Python 3.6, 3.7, 3.8 and 3.9 on Linux, Windows, or Mac and can be installed with conda:.


            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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