Custom tick formatters in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the correct module for custom tick formatting in matplotlib.

Matplotlib

from matplotlib.ticker import [1]

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AFuncFormatter

BLinearLocator

CMaxNLocator

DMultipleLocator

Attempts:

3 left

💡 Hint

Common Mistakes

Importing a locator class instead of a formatter.

Using a class that controls tick positions, not formatting.

The FuncFormatter class is used to create custom tick formatters in matplotlib.

2fill in blank

medium

Complete the code to define a function that formats ticks by adding a dollar sign before the value.

Matplotlib

def currency_format(x, pos):
    return [1]

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A"$" + x

B"$" + str

C"$" + str(x)

D"$" + f"{x}"

Attempts:

3 left

💡 Hint

Common Mistakes

Trying to concatenate a string with a number directly.

Using incorrect string formatting syntax.

The function must convert the number x to a string and add a dollar sign before it.

3fill in blank

hard

Fix the error in the code to apply the custom formatter to the x-axis.

Matplotlib

ax.xaxis.set_major_formatter([1](currency_format))

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AFormatStrFormatter

BFixedFormatter

CScalarFormatter

DFuncFormatter

Attempts:

3 left

💡 Hint

Common Mistakes

Using a formatter class that expects a format string instead of a function.

Not wrapping the function with a formatter class.

The FuncFormatter class wraps the custom function to format ticks.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that formats numbers as percentages if greater than 0.5.

Matplotlib

percent_dict = {num: f"[1]%" for num in numbers if num [2] 0.5}

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Aint(num * 100)

B>

C<

Dround(num * 100)

Attempts:

3 left

💡 Hint

Common Mistakes

Using the less than operator instead of greater than.

Not converting the number to an integer before formatting.

The dictionary comprehension converts numbers greater than 0.5 to percentages by multiplying by 100 and converting to int.

5fill in blank

hard

Fill all three blanks to create a custom formatter that shows values with 2 decimals and a percent sign only if value is less than 1.

Matplotlib

def custom_percent(x, pos):
    if x [1] 1:
        return f"{x * 100:[2][3]"
    else:
        return str(x)

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

A<

B.2f

C%

D>

Attempts:

3 left

💡 Hint

Common Mistakes

Using the greater than operator instead of less than.

Forgetting to multiply by 100 before formatting.

Incorrect string formatting syntax.

The function checks if x is less than 1, then formats it as a percentage with 2 decimals using .2f and adds a percent sign.