[Solved] Given the code below, what will be the output type when using Datashader with HoloViews?import datashader as ds import holoviews as hv import pandas as pd hv.extension('bokeh') data = pd.... | Matplotlib

Matplotlib - Performance and Large Data

Given the code below, what will be the output type when using Datashader with HoloViews?

import datashader as ds
import holoviews as hv
import pandas as pd

hv.extension('bokeh')
data = pd.DataFrame({'x': range(1000000), 'y': range(1000000)})
points = ds.Points(data, 'x', 'y')
shaded = ds.Canvas().shade(points)
print(type(shaded))

A<class 'pandas.core.frame.DataFrame'>

B<class 'holoviews.core.element.Points'>

C<class 'matplotlib.figure.Figure'>

D<class 'datashader.transfer_functions.Image'>

Step-by-Step Solution

Solution:

Step 1: Understand what ds.Canvas().shade() returns
The shade() function in Datashader returns an Image object representing the rasterized plot.
Step 2: Check the printed type
Since shade() returns a datashader.transfer_functions.Image object, the printed type matches <class 'datashader.transfer_functions.Image'>.
Final Answer:
<class 'datashader.transfer_functions.Image'> -> Option D
Quick Check:
Datashader shade output = Image object [OK]

Quick Trick: shade() returns an Image object, not raw data [OK]

Common Mistakes:

Thinking shade returns raw DataFrame
Confusing HoloViews Points with shaded image
Expecting a Matplotlib figure object

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More Matplotlib Quizzes

Given the code below, what will be the output type when using Datashader with HoloViews?

Step 1: Understand what ds.Canvas().shade() returns

Step 2: Check the printed type

Final Answer:

Quick Check:

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