Heatmap with plt.pcolormesh in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a heatmap using plt.pcolormesh.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

data = np.array([[1, 2], [3, 4]])
plt.[1](data)
plt.show()

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

Aplot

Bscatter

Cpcolormesh

Dbar

Attempts:

3 left

💡 Hint

Common Mistakes

Using plt.plot instead of plt.pcolormesh.

Using plt.scatter which is for scatter plots.

Using plt.bar which is for bar charts.

The plt.pcolormesh function creates a heatmap from a 2D array.

2fill in blank

medium

Complete the code to add a colorbar to the heatmap.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

data = np.array([[5, 10], [15, 20]])
mesh = plt.pcolormesh(data)
plt.[1]()
plt.show()

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Acolorbar

Blegend

Cgrid

Dtitle

Attempts:

3 left

💡 Hint

Common Mistakes

Using plt.legend which is for plot legends.

Using plt.grid which adds grid lines.

Using plt.title which adds a title.

The plt.colorbar() function adds a color scale bar to the heatmap.

3fill in blank

hard

Fix the error in the code to correctly display the heatmap with a custom colormap.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

data = np.array([[1, 4], [9, 16]])
plt.pcolormesh(data, cmap=[1])
plt.colorbar()
plt.show()

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ANone

Bviridis

C'blue'

D'viridis'

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the colormap name without quotes causes an error.

Using an invalid colormap name.

Passing None disables the colormap.

The cmap parameter expects a string name of the colormap in quotes.

4fill in blank

hard

Fill both blanks to create a heatmap with labeled axes and a title.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

data = np.array([[2, 3], [4, 5]])
plt.pcolormesh(data)
plt.xlabel([1])
plt.title([2])
plt.colorbar()
plt.show()

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

A'X axis'

B'Y axis'

C'My Heatmap'

D'Data Values'

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping axis labels and title text.

Forgetting to put labels in quotes.

Not adding a title at all.

Use plt.xlabel to label the x-axis and plt.title to add a title to the plot.

5fill in blank

hard

Fill all three blanks to create a heatmap with custom x and y ticks and a colorbar label.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

data = np.array([[7, 8], [9, 10]])
mesh = plt.pcolormesh(data)
plt.xticks([1])
plt.yticks([2])
plt.colorbar(mesh, label=[3])
plt.show()

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

A[0, 1]

C'Intensity'

D[1, 2]

Attempts:

3 left

💡 Hint

Common Mistakes

Using strings instead of lists for ticks.

Not passing the mesh object to colorbar.

Forgetting quotes around the label.

Use plt.xticks and plt.yticks to set tick positions. The colorbar label is a string describing the data.