Color mapping with colorbar in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a scatter plot with colors mapped from the 'values' array.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

x = np.arange(10)
y = np.random.rand(10)
values = np.linspace(0, 1, 10)

plt.scatter(x, y, c=[1])
plt.show()

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

Avalues

By

Cnp.arange(10)

Dx

Attempts:

3 left

💡 Hint

Common Mistakes

Using x or y instead of the values array for colors.

Not passing any array to the c parameter.

The c parameter in plt.scatter sets the colors of the points. We use the values array to map colors.

2fill in blank

medium

Complete the code to add a colorbar to the scatter plot.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

x = np.arange(10)
y = np.random.rand(10)
values = np.linspace(0, 1, 10)

scatter = plt.scatter(x, y, c=values)
[1]
plt.show()

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

Aplt.colorbar(scatter)

Bplt.colorbar()

Cplt.colorbar(x)

Dplt.colorbar(y)

Attempts:

3 left

💡 Hint

Common Mistakes

Calling plt.colorbar() without arguments.

Passing x or y arrays to plt.colorbar().

To add a colorbar for a scatter plot, pass the scatter object to plt.colorbar().

3fill in blank

hard

Fix the error in the code to correctly map colors and add a colorbar.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

x = np.arange(5)
y = np.random.rand(5)
values = np.array([10, 20, 30, 40, 50])

scatter = plt.scatter(x, y, c=[1])
plt.colorbar(scatter)
plt.show()

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

Ax

Bvalues

Cy

Dnp.arange(5)

Attempts:

3 left

💡 Hint

Common Mistakes

Using y or x instead of the values array for colors.

Not passing any array to the c parameter.

The c parameter should be the array of values to map colors, which is values.

4fill in blank

hard

Fill both blanks to create a scatter plot with a 'viridis' colormap and add a colorbar.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

x = np.arange(8)
y = np.random.rand(8)
values = np.linspace(0, 1, 8)

scatter = plt.scatter(x, y, c=values, cmap=[1])
[2]
plt.show()

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

A'viridis'

Bplt.colorbar()

Cplt.colorbar(scatter)

D'plasma'

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the wrong colormap name.

Calling plt.colorbar() without the scatter object.

Use cmap='viridis' to set the colormap. Pass the scatter object to plt.colorbar() to add the colorbar.

5fill in blank

hard

Fill all three blanks to create a scatter plot with a 'coolwarm' colormap, set the color limits from 0 to 1, and add a colorbar.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

x = np.arange(6)
y = np.random.rand(6)
values = np.linspace(0, 1, 6)

scatter = plt.scatter(x, y, c=values, cmap=[1])
scatter.set_clim([2], [3])
plt.colorbar(scatter)
plt.show()

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

A'coolwarm'

B0

C1

D'viridis'

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong colormap names.

Not setting color limits correctly.

Forgetting to add the colorbar.

Set cmap='coolwarm' for the colormap. Use scatter.set_clim(0, 1) to set color limits. Then add the colorbar.