hvplot | A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews
kandi X-RAY | hvplot Summary
kandi X-RAY | hvplot Summary
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.
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Top functions reviewed by kandi - BETA
- 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
hvplot Key Features
hvplot Examples and Code Snippets
Community Discussions
Trending Discussions on hvplot
QUESTION
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.
Example:
...ANSWER
Answered 2022-Apr-08 at 14:56Datashader 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).
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 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:
...ANSWER
Answered 2022-Jan-26 at 13:38The 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.
QUESTION
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?
MWE:
...ANSWER
Answered 2022-Jan-19 at 07:46I found a way to do it based on the answers to this question, by rendering it as a bokeh figure.
QUESTION
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.
...ANSWER
Answered 2022-Jan-03 at 19:50That 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.
QUESTION
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 0.3But 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:
...ANSWER
Answered 2021-Nov-30 at 16:54Does this answer your question?
QUESTION
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:
...ANSWER
Answered 2021-Nov-29 at 20:57The 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/
QUESTION
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']
.
ANSWER
Answered 2021-Oct-14 at 19:15GeoViews 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.
QUESTION
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
Example:
...ANSWER
Answered 2021-Sep-08 at 08:25Use focus-within
rather than focus
QUESTION
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.
...ANSWER
Answered 2021-Aug-28 at 23:21I solved my problem: to get 8hours that are discrete,
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