Before-after comparison plots in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the plotting library needed for before-after comparison plots.

Matplotlib

import [1] as plt

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Anumpy

Bseaborn

Cpandas

Dmatplotlib.pyplot

Attempts:

3 left

💡 Hint

Common Mistakes

Importing numpy or pandas instead of matplotlib.pyplot.

Using seaborn without importing matplotlib.pyplot.

We use matplotlib.pyplot to create plots including before-after comparison plots.

2fill in blank

medium

Complete the code to create a figure and axis for plotting before-after data.

Matplotlib

fig, [1] = plt.subplots()

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Afigure

Baxis

Cplot

Ddata

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'figure' as the second variable instead of 'axis'.

Using 'plot' or 'data' which are not returned by subplots.

The subplots() function returns a figure and an axis object. The axis is used to draw plots.

3fill in blank

hard

Fix the error in the code to plot before and after values as connected points.

Matplotlib

axis.plot(['Before', 'After'], [before_value, after_value], marker=[1])

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Ao

B'x'

C'o'

D'marker'

Attempts:

3 left

💡 Hint

Common Mistakes

Using marker without quotes causing a NameError.

Using an invalid marker string.

The marker style must be a string like 'o' to show points on the plot.

4fill in blank

hard

Fill both blanks to add labels and a title to the before-after plot.

Matplotlib

axis.set_xlabel([1])
axis.set_title([2])

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A'Time Point'

B'Value Change'

C'Before and After Comparison'

D'Measurement'

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping the label and title texts.

Using unrelated labels or titles.

The x-axis label should describe the time points, and the title should describe the plot purpose.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps each time point to its value if the value increased.

Matplotlib

result = [1]: [2] for [3] in ['Before', 'After'] if values[[3]] > values['Before']

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A'time'

Bvalues[time]

Ctime

D'value'

Attempts:

3 left

💡 Hint

Common Mistakes

Using string literals instead of variables for keys or values.

Using incorrect variable names.

The comprehension creates a dictionary with keys as time points and values as their corresponding values if they increased from 'Before'.