Best Way of Using HoloViews

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Comments¶

DataFrame.hvplot (via the Python package hvplot) is the most convenient way to use HoloViews.
If you want to use HoloViews directly, it is better to create a HoloViews.Dataset object and use it for visualization.
The groupby option generates a plot with a dropdown list for interactively showing plots of different groups. You can overlay plots of different groups together on the same plot simplify by calling the .overlay() method.

import pandas as pd

iris = pd.read_csv("../../../../media/data/iris.csv")
iris.head()

Use the `hvplot` Library¶

import holoviews as hv

# import hvplot
import hvplot.pandas

# hv.extension("bokeh")

fig = iris.hvplot.scatter("sepal_width_cm", "sepal_length_cm")
fig

type(fig)

holoviews.element.chart.Scatter

iris.hvplot.scatter("sepal_width_cm", "sepal_length_cm", groupby="species")

iris.hvplot.scatter("sepal_width_cm", "sepal_length_cm", groupby="species").overlay()

iris.hvplot.scatter("petal_width_cm", "petal_length_cm", groupby="species").overlay()

Use The HoloViews Library Directly¶

Pass a tuple (of x and y) to HoloViews.Scatter. You have to manually specify the labels for x and y-axis, otherwise, the default lables x and y will be used.

%%opts Scatter [width=600 height=500 tools=["hover"]]

hv.Scatter((iris.sepal_width_cm, iris.sepal_length_cm)).opts(xlabel="Sepal Width", ylabel="Sepal Length")

%%opts Scatter [width=600 height=500 tools=['hover']]

hv.Scatter(iris, kdims="sepal_width_cm", vdims="sepal_length_cm")

Use `Dataset` In The HoloViews Library¶

%%opts Scatter [width=600 height=500 tools=["hover"]]
hv.Scatter(iris, kdims=["sepal_width_cm", "species"], vdims=["sepal_length_cm"])

WARNING:param.Scatter: Chart elements should only be supplied a single kdim

hv.Dataset(iris).to.scatter("sepal_width_cm", "sepal_length_cm", groupby=[])

hv.Dataset(iris).to.scatter("sepal_width_cm", "sepal_length_cm", groupby="species")

%%opts Scatter [width=600 height=500]

hv.Dataset(iris).to.scatter("sepal_width_cm", "sepal_length_cm", groupby="species").overlay()

Best Way of Using HoloViews

Comments¶

Use the hvplot Library¶

Use The HoloViews Library Directly¶

Use Dataset In The HoloViews Library¶

Use the `hvplot` Library¶

Use `Dataset` In The HoloViews Library¶