pyviz

问题 I recently came across holoviews as promising visualization library in python and - as a practice - I wanted to transfer some of my existing code to see how it looks like in hv . I reached a given plot which I am unable to recreate. I'd like to visualize a timeline or roadmap where the x axis is with type of pd.datetime and the y is categorical. Something like this: What Element shall I use? How shall I define start and end position for sections? 回答1: This sounds like you need a Gantt chart .

问题 Using the functionality in pyviz, it's easy to generate an hvplot / panel interactive dashboard for a gridded xarray dataset, like this air temperature data example: import xarray as xr import hvplot.xarray import panel as pn airtemps = xr.tutorial.load_dataset('air_temperature') atemp = airtemps.air[:10,:,:] mesh = atemp.hvplot(groupby='time') row = pn.Row(mesh) display(row) which automatically creates a slider for the time dimension: If I take a look at the object created: print(row) I can

问题 I want a scatter plot of different types of "asset", each asset should have the same color and labeled in the legend. I can do this using an NdOverlay of Scatter. Then I want to overlay two such plots, eg one coming from a model and another from experiment, so that the first and second only change in marker but keeps the same color for each asset. I would expect this to work df1 = pd.DataFrame({"asset": ["A", "B", "B"], "x": [1,2,3], "y": [1,2,3]}) df2 = pd.DataFrame({"asset": ["A", "B", "B"]

问题 I am building a dashboard with Panel Holoviz using a Parameterized Class . In this Class I would like a button that, when pushed starts training a model, and when the model is finished training, it needs to show a graph based on that model. How do I build such dependencies in Panel using a Class? 回答1: The example below shows how when the button is pushed, it triggers 'button', which triggers method train_model(), which when finished, triggers method update_graph(). The key lies in the lambda

问题 I use a parameterized class to build my Panel dashboard. I would like to use a CrossSelector but this selector does not seem to be available when looking at the options that library Param gives. It only seems to have a ListSelector. How do i get this CrossSelector using Param? import param import panel as pn pn.extension('bokeh') class ValveExplorer(param.Parameterized): selected_features = param.ListSelector( default=[1, 3], objects=[1, 2, 3, 4], ) # show list selector pn.Row(valve_explorer

问题 I am putting together an interactive dashboard using the pyviz ecosystem. One feature of the dashboard is that the underlying data may change based on a widget selector. Below is an example code showing the issue I have with getting the time widget slider to appear: Package Versions : panel: 0.5.1 param: 1.9.0 holoviews: 1.12.3 geoviews: 1.6.2 Example : import xarray as xr import panel as pn import numpy as np import param as pm import holoviews as hv import geoviews as gv from matplotlib

问题 I have a Select widget that should give a different list of options whenever another Select widget is changed, so it updates whenever this other Select widget changes. How do I this in the example code below? _countries = { 'Africa': ['Ghana', 'Togo', 'South Africa'], 'Asia' : ['China', 'Thailand', 'Japan'], 'Europe': ['Austria', 'Bulgaria', 'Greece'] } continent = pn.widgets.Select( value='Asia', options=['Africa', 'Asia', 'Europe'] ) country = pn.widgets.Select( value=_countries[continent