holoviews

问题 I'm trying to change the colormap used by datashader. I tried this: datashade(scatter, cmap='Reds') Where scatter is an hv.Scatter element. This doesn't work because datashader expects an iterable or a function that returns colors. As such, this works: datashade(scatter, cmap=['blue']) So how can I take the 'Reds' colormap and convert it into something datashader can use? Thank you. 回答1: Right; you can't pass the string name of a colormap to Datashader's cmap argument, because Datashader

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 When I use pandas df.plot() it has matplotlib as a default plotting backend. But this creates static plots. I would like interactive plots, so I have to change the pandas plotting background. How do I do change the plotting backend of pandas to have a different library creating my plots when i use .plot()? 回答1: You need pandas >= 0.25 to change the plotting backend of pandas. The available plotting backends are: matplotlib hvplot >= 0.5.1 holoviews pandas_bokeh plotly >= 4.8 altair So, the

来源： https://stackoverflow.com/questions/64297423/how-to-set-order-of-bars-according-to-order-index-of-dataframe-in-holoviews

来源： https://stackoverflow.com/questions/64297423/how-to-set-order-of-bars-according-to-order-index-of-dataframe-in-holoviews

来源： https://stackoverflow.com/questions/51247991/adjust-colormap-in-holoviews-bokeh-to-match-distribution-of-values

问题 How do I control which tools are used / active in a holoviews plot with the bokeh backend? I've seen this SO answer, but that only adds a new active tool; it doesn't keep any other tools (e.g. pan) from being active. For a specific example, suppose I only want the hover tool. I would try doing this: import holoviews as hv hv.extension("bokeh") hv.Curve([1, 2, 3]).opts(tools=["hover"]) but then I end up with a plot that has hover in addition to the default tools. How do I specify the list of

问题 How do I control which tools are used / active in a holoviews plot with the bokeh backend? I've seen this SO answer, but that only adds a new active tool; it doesn't keep any other tools (e.g. pan) from being active. For a specific example, suppose I only want the hover tool. I would try doing this: import holoviews as hv hv.extension("bokeh") hv.Curve([1, 2, 3]).opts(tools=["hover"]) but then I end up with a plot that has hover in addition to the default tools. How do I specify the list of

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 In Bokeh I am able to add a text annotation to each point in my plot programmatically by using LabelSet . Below I give an example for a simple bar plot: import numpy as np import pandas as pd # Make some data dat = \ (pd.DataFrame({'team':['a','b','c'], 'n_people':[10,5,12]}) .assign(n_people_percent = lambda x: (x['n_people']/np.sum(x['n_people'])*100) .round(1).astype('string') + '%') ) dat # Bar plot with text annotations for every bar from bkcharts import show, Bar from bkcharts