holoviz

问题 I am trying to create a custom hover tool using which takes the y-value of the plot and maps the value to different value. The code I could come up with so far to achieve this functionality is from bokeh.models import HoverTool import holoviews as hv df = pd.DataFrame( { "zero": [0, 0, 0, 0, 0, 0, 0], "one": [1, 1, 1, 1, 1, 1, 1], "two": [2, 2, 2, 2, 2, 2, 2], } ) mapping = {i: c for i, c in enumerate(df.columns)} def col_mapping(num): return mapping[int(num)] hover = HoverTool(tooltips=[("x"

问题 I am trying to create a custom hover tool using which takes the y-value of the plot and maps the value to different value. The code I could come up with so far to achieve this functionality is from bokeh.models import HoverTool import holoviews as hv df = pd.DataFrame( { "zero": [0, 0, 0, 0, 0, 0, 0], "one": [1, 1, 1, 1, 1, 1, 1], "two": [2, 2, 2, 2, 2, 2, 2], } ) mapping = {i: c for i, c in enumerate(df.columns)} def col_mapping(num): return mapping[int(num)] hover = HoverTool(tooltips=[("x"

问题 I made a class to explore and train models. When I change the value of dropdown 'choose_model_type' in the code example below, I would expect nothing to change in my dashboard, since there are no @param.depends('choose_model_type', watch=True) in my class. However, my dashboard gets updated, when I change the value of dropdown 'choose_model_type'. In this case function plot_y() gets triggered twice if I look at the logs: 2019-09-26 11:24:42,802 starting plot_y 2019-09-26 11:24:42,825 starting

问题 I try to create a grouped bar plot but can't figure out how to influence the order of the barplot. Given these example data: import pandas as pd import hvplot.pandas df = pd.DataFrame({ "lu": [200, 100, 10], "le": [220, 80, 130], "la": [60, 20, 15], "group": [1, 2, 2], }) df = df.groupby("group").sum() I'd like to create a horizontal grouped bar plot showing the two groups 1 and 2 with all three columns. The columns should appear in the order of "le", "la" and "lu". Naturally I'd try this

问题 I have 2 shapefiles for the UK: In [3]: # SHAPEFILE 1: ...: # WESTMINISTER PARLIAMENTARY CONSTITUENCY UK SHAPEFILE ...: shapefile1 = "../Westminster_Parliamentary_Constituencies_De ...: cember_2017_UK_BSC_SUPER_SMALL/Westminster_Parliamentary_Constituencies_ ...: December_2017_UK_BSC.shp" In [4]: # SHAPEFILE 2: ...: # LAD19 UK SHAPEFILE ...: shapefile2 = "../03_Maps_March_2020/level3_LAD19_CONTAINS_4_L ...: EVELS_OF_DETAIL/Local_Authority_Districts_December_2019_Boundaries_UK_BU ...: C/Local

问题 The libraries of the Holoviz ecosystem are continuously updated. Using pip, how do I install the latest git versions of: Holoviews Hvplot Panel Datashader Param 回答1: The latest github versions of the holoviz libraries can be installed as follows. Holoviews: pip install git+https://github.com/holoviz/holoviews.git Hvplot: pip install git+https://github.com/holoviz/hvplot.git Panel: pip install git+https://github.com/holoviz/panel.git Datashader: pip install git+https://github.com/holoviz

问题 I'm mainly using Jupyter Notebook / Lab when using Holoviews for interactive plotting. How do I make Visual Studio display my interactive graphs and panels, without using the Interactive Jupyter inside Visual Studio? 回答1: One way to use interactive graphs from Holoviews etc in Visual Studio is executing code to show the graph in your browser (which Holoviews is meant for). The example below puts your Holoviews graph in a Panel and starts a Bokeh server. It opens a new tab on your browser and

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 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