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Matplotlibdata~10 mins

Pie chart color customization in Matplotlib - Step-by-Step Execution

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Concept Flow - Pie chart color customization
Start: Prepare data
↓
Choose colors list
↓
Call plt.pie() with colors
↓
Render pie chart with chosen colors
↓
Display chart
The flow shows preparing data, selecting colors, applying them in the pie chart, and displaying the result.
Execution Sample
Matplotlib
import matplotlib.pyplot as plt
sizes = [30, 20, 50]
colors = ['red', 'green', 'blue']
plt.pie(sizes, colors=colors)
plt.show()
This code draws a pie chart with three slices colored red, green, and blue.
Execution Table
StepActionInput/ParameterEffect/Result
1Prepare data sizes[30, 20, 50]Data ready for pie chart
2Define colors list['red', 'green', 'blue']Colors assigned to slices
3Call plt.pie()sizes=[30,20,50], colors=['red','green','blue']Pie chart slices colored accordingly
4Render pie chartN/APie chart with red, green, blue slices shown
5Display chartplt.show()Chart window opens with colored pie
💡 All slices colored and chart displayed, execution ends.
Variable Tracker
VariableStartAfter Step 1After Step 2After Step 3Final
sizesundefined[30, 20, 50][30, 20, 50][30, 20, 50][30, 20, 50]
colorsundefinedundefined['red', 'green', 'blue']['red', 'green', 'blue']['red', 'green', 'blue']
Key Moments - 2 Insights
Why do the colors not change if I don't pass the colors parameter?
Without the colors parameter, matplotlib uses default colors. See execution_table step 3 where colors are explicitly passed to change slice colors.
What happens if the colors list length doesn't match the data size?
Matplotlib cycles through colors if fewer colors than slices are given. This is why colors list length should match sizes for clear mapping, as shown in execution_table step 2.
Visual Quiz - 3 Questions
Test your understanding
Look at the execution table, what color is assigned to the second slice?
Ared
Bblue
Cgreen
Ddefault color
💡 Hint
Check the colors list in execution_table step 2 and 3.
At which step is the colors list defined?
AStep 2
BStep 1
CStep 3
DStep 4
💡 Hint
Look at the 'Action' and 'Input/Parameter' columns in execution_table.
If you remove the colors parameter in plt.pie(), what will happen?
AThe slices will all be the same color
BMatplotlib will use default colors for slices
CThe pie chart will not display
DAn error will occur
💡 Hint
Refer to key_moments about default color behavior.
Concept Snapshot
Pie chart color customization in matplotlib:
- Use plt.pie(data, colors=colors_list)
- colors_list must match data length for clear mapping
- If colors not given, default colors apply
- Colors can be named strings or hex codes
- Call plt.show() to display the chart
Full Transcript
This visual execution traces how to customize pie chart colors in matplotlib. First, data sizes are prepared as a list of values. Then, a colors list is defined with color names matching each slice. The plt.pie() function is called with sizes and colors parameters, which applies the colors to each slice in order. Finally, plt.show() displays the pie chart with the chosen colors. Key points include that colors must be passed explicitly to override defaults, and the colors list length should match the data length for clarity. The execution table shows each step and the variable states. The quiz tests understanding of color assignment and parameter usage.

Practice

(1/5)
1. What does the colors parameter do in a matplotlib pie chart?
easy
A. It changes the size of the pie chart.
B. It changes the chart title.
C. It adds labels to the pie slices.
D. It sets the colors of each slice in the pie chart.

Solution

  1. Step 1: Understand the role of colors in pie charts

    The colors parameter is used to specify the colors for each slice of the pie chart.
  2. Step 2: Compare with other options

    Options A, C, and D relate to size, labels, and title, which are controlled by other parameters.
  3. Final Answer:

    It sets the colors of each slice in the pie chart. -> Option D
  4. Quick Check:

    colors parameter = slice colors [OK]
Hint: Remember: colors parameter controls slice colors [OK]
Common Mistakes:
  • Confusing colors with labels
  • Thinking colors change chart size
  • Mixing colors with title settings
2. Which of the following is the correct way to set colors in a matplotlib pie chart?
easy
A. plt.pie(data, colors=['red', 'blue', 'green'])
B. plt.pie(data, color=['red', 'blue', 'green'])
C. plt.pie(data, col=['red', 'blue', 'green'])
D. plt.pie(data, set_colors=['red', 'blue', 'green'])

Solution

  1. Step 1: Recall the correct parameter name

    The correct parameter to set slice colors is colors, not color, col, or set_colors.
  2. Step 2: Check syntax correctness

    plt.pie(data, colors=['red', 'blue', 'green']) uses colors with a list of color names, which is the correct syntax.
  3. Final Answer:

    plt.pie(data, colors=['red', 'blue', 'green']) -> Option A
  4. Quick Check:

    Use colors= list for slice colors [OK]
Hint: Use exact parameter name 'colors' for slice colors [OK]
Common Mistakes:
  • Using 'color' instead of 'colors'
  • Using undefined parameters like 'col' or 'set_colors'
  • Passing colors as a string instead of a list
3. What will be the color of the second slice in this code?
import matplotlib.pyplot as plt
sizes = [30, 40, 30]
colors = ['#FF0000', '#00FF00', '#0000FF']
plt.pie(sizes, colors=colors)
plt.show()
medium
A. Blue
B. Red
C. Green
D. Black

Solution

  1. Step 1: Identify the colors list order

    The colors list is ['#FF0000', '#00FF00', '#0000FF'], which correspond to red, green, and blue in order.
  2. Step 2: Match the second slice color

    The second slice uses the second color '#00FF00', which is green.
  3. Final Answer:

    Green -> Option C
  4. Quick Check:

    Second color in list = green [OK]
Hint: Colors list order matches slice order [OK]
Common Mistakes:
  • Mixing hex codes with color names
  • Assuming default colors override given list
  • Confusing slice index starting at 0 or 1
4. Find the error in this pie chart color code:
import matplotlib.pyplot as plt
sizes = [25, 25, 50]
colors = 'red, blue, green'
plt.pie(sizes, colors=colors)
plt.show()
medium
A. colors should be a list, not a string
B. sizes list has wrong values
C. plt.pie does not accept colors parameter
D. Missing plt.show() call

Solution

  1. Step 1: Check the type of colors parameter

    The colors parameter must be a list of color names or hex codes, but here it is a single string.
  2. Step 2: Understand the impact of wrong type

    Passing a string will cause matplotlib to treat it as one color or raise an error.
  3. Final Answer:

    colors should be a list, not a string -> Option A
  4. Quick Check:

    colors must be list, not string [OK]
Hint: Always pass colors as a list, not a single string [OK]
Common Mistakes:
  • Passing colors as comma-separated string
  • Ignoring type requirements for colors
  • Assuming plt.show() is optional
5. You want to create a pie chart with 4 slices and use custom colors: red, green, blue, and yellow. Which code correctly applies these colors and also adds labels for each slice?
hard
A. plt.pie([10, 20, 30, 40], colors=['red', 'green', 'blue', 'yellow'], label=['A', 'B', 'C', 'D'])
B. plt.pie([10, 20, 30, 40], colors=['red', 'green', 'blue', 'yellow'], labels=['A', 'B', 'C', 'D'])
C. plt.pie([10, 20, 30, 40], colors=['red', 'green', 'blue'], labels=['A', 'B', 'C', 'D'])
D. plt.pie([10, 20, 30, 40], color=['red', 'green', 'blue', 'yellow'], labels=['A', 'B', 'C', 'D'])

Solution

  1. Step 1: Verify the colors parameter and list length

    The colors parameter must be named exactly 'colors' and have 4 colors for 4 slices.
  2. Step 2: Check the labels parameter name and length

    The labels parameter must be named 'labels' and have 4 labels matching the slices.
  3. Step 3: Identify errors in other options

    plt.pie([10, 20, 30, 40], color=['red', 'green', 'blue', 'yellow'], labels=['A', 'B', 'C', 'D']) uses 'color' instead of 'colors'. plt.pie([10, 20, 30, 40], colors=['red', 'green', 'blue'], labels=['A', 'B', 'C', 'D']) has only 3 colors for 4 slices. plt.pie([10, 20, 30, 40], colors=['red', 'green', 'blue', 'yellow'], label=['A', 'B', 'C', 'D']) uses 'label' instead of 'labels'.
  4. Final Answer:

    plt.pie([10, 20, 30, 40], colors=['red', 'green', 'blue', 'yellow'], labels=['A', 'B', 'C', 'D']) -> Option B
  5. Quick Check:

    Use colors= and labels= with matching list lengths [OK]
Hint: Match colors and labels list lengths with data slices [OK]
Common Mistakes:
  • Using wrong parameter names like 'color' or 'label'
  • Mismatched list lengths for colors or labels
  • Forgetting to pass labels parameter
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