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.

!curl -sSL www.legendu.net/media/data/iris.csv -o iris.csv

import pandas as pd

iris = pd.read_csv("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¶