Alternatives for big data (Datashader, HoloViews) in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the Datashader library.

Matplotlib

import [1]

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Amatplotlib

Bdatashader

Cpandas

Dnumpy

Attempts:

3 left

💡 Hint

Common Mistakes

Importing matplotlib instead of datashader.

Using pandas or numpy which are not for big data visualization.

Datashader is imported using import datashader.

2fill in blank

medium

Complete the code to create a canvas with Datashader for a 1000x1000 pixel plot.

Matplotlib

canvas = datashader.Canvas([1]=1000, [2]=1000)

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Asize

Bheight

Cwidth

Dshape

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'size' or 'shape' which are not parameters for Canvas.

Confusing width and height.

The Canvas object uses width and height to set pixel dimensions.

3fill in blank

hard

Fix the error in the code to aggregate points using Datashader's points method.

Matplotlib

agg = canvas.points(df, x='x', y='y', [1]='value')

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Aagg_column

Bagg

Cagg_func

Dagg_col

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'agg' or 'agg_func' which are not valid parameters.

Misspelling the parameter name.

The correct parameter name is agg_col to specify the column to aggregate.

4fill in blank

hard

Fill both blanks to create a HoloViews Points plot and display it.

Matplotlib

import holoviews as hv
hv.extension('matplotlib')
points = hv.Points(df, kdims=[[1]], vdims=[[2]])
points.opts(color='blue', size=5)

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A'x'

B'y'

C'value'

D'index'

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping key and value dimensions.

Using 'index' which is not a data column.

In HoloViews, kdims are key dimensions like 'x', and vdims are value dimensions like 'value'.

5fill in blank

hard

Fill all three blanks to create a Datashader aggregate and convert it to an image with HoloViews.

Matplotlib

agg = canvas.points(df, x=[1], y=[2], agg_col=[3])
img = hv.Image(agg)
img.opts(cmap='viridis')

Drag options to blanks, or click blank then click option'

A'x'

B'y'

C'value'

D'count'

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'count' as agg_col which is not a data column.

Mixing up x and y parameters.

The x and y parameters specify coordinates, and agg_col specifies the data column to aggregate.