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Basic plt.plot usage in Matplotlib - Mini Project: Build & Apply

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Basic plt.plot usage
📖 Scenario: You are a data analyst who wants to visualize the sales trend of a small shop over a week. You have the sales numbers for each day and want to create a simple line chart to see how sales changed.
🎯 Goal: Build a simple line plot using matplotlib.pyplot.plot to show sales over days.
📋 What You'll Learn
Create a list called days with values: [1, 2, 3, 4, 5, 6, 7]
Create a list called sales with values: [150, 200, 170, 220, 180, 210, 230]
Use plt.plot(days, sales) to create the line plot
Use plt.show() to display the plot
💡 Why This Matters
🌍 Real World
Line plots are used to visualize trends over time, like sales, temperature, or stock prices.
💼 Career
Data analysts and scientists use matplotlib to create charts that help explain data insights clearly.
Progress0 / 4 steps
1
Create the sales data lists
Create a list called days with values [1, 2, 3, 4, 5, 6, 7] and a list called sales with values [150, 200, 170, 220, 180, 210, 230].
Matplotlib
Hint

Use square brackets to create lists with the exact numbers given.

2
Import matplotlib and prepare to plot
Import matplotlib.pyplot as plt to prepare for plotting.
Matplotlib
Hint

Use import matplotlib.pyplot as plt to import the plotting library.

3
Create the line plot
Use plt.plot(days, sales) to create a line plot showing sales over days.
Matplotlib
Hint

Call plt.plot with days as x-values and sales as y-values.

4
Display the plot
Use plt.show() to display the line plot.
Matplotlib
Hint

Call plt.show() to open the plot window.

Practice

(1/5)
1. What does the plt.plot(x, y) function do in matplotlib?
easy
A. It creates a bar chart from x and y data.
B. It clears the current plot.
C. It saves the plot as an image file.
D. It draws a line connecting points defined by x and y data.

Solution

  1. Step 1: Understand plt.plot function

    The plt.plot(x, y) function connects points defined by x and y coordinates with lines.
  2. Step 2: Differentiate from other functions

    Other options describe different matplotlib functions: bar chart, saving, or clearing plots, which are not done by plt.plot.
  3. Final Answer:

    It draws a line connecting points defined by x and y data. -> Option D
  4. Quick Check:

    plt.plot connects points with lines [OK]
Hint: Remember: plt.plot connects points with lines [OK]
Common Mistakes:
  • Confusing plt.plot with bar chart functions
  • Thinking plt.plot saves images
  • Assuming plt.plot clears plots
2. Which of the following is the correct syntax to plot y versus x using matplotlib?
easy
A. plt.plot(x = y)
B. plt.plot(y, x)
C. plt.plot(x, y)
D. plt.plot(y)

Solution

  1. Step 1: Check the order of parameters in plt.plot

    The first argument is x data, the second is y data, so plt.plot(x, y) is correct.
  2. Step 2: Identify incorrect syntax

    Options A uses invalid keyword argument, B reverses x and y, and D misses x data.
  3. Final Answer:

    plt.plot(x, y) -> Option C
  4. Quick Check:

    Correct order is x then y [OK]
Hint: Plot syntax is plt.plot(x, y) with x first [OK]
Common Mistakes:
  • Swapping x and y arguments
  • Using invalid keyword arguments
  • Providing only one argument without x
3. What will be the output of this code?
import matplotlib.pyplot as plt
x = [1, 2, 3]
y = [4, 5, 6]
plt.plot(x, y)
plt.show()
medium
A. No plot will be shown because plt.show() is missing.
B. A line graph connecting points (1,4), (2,5), and (3,6).
C. A bar chart with bars at x=1,2,3 with heights 4,5,6.
D. A scatter plot of points (1,4), (2,5), and (3,6).

Solution

  1. Step 1: Understand plt.plot with x and y lists

    The code plots points (1,4), (2,5), and (3,6) connected by lines.
  2. Step 2: Confirm plt.show() displays the plot

    The plt.show() command displays the line graph on screen.
  3. Final Answer:

    A line graph connecting points (1,4), (2,5), and (3,6). -> Option B
  4. Quick Check:

    plt.plot + plt.show = line graph [OK]
Hint: plt.plot draws lines; plt.show displays them [OK]
Common Mistakes:
  • Confusing plt.plot with scatter plot
  • Thinking plt.plot creates bar charts
  • Forgetting plt.show to display plot
4. Identify the error in this code snippet:
import matplotlib.pyplot as plt
x = [1, 2, 3]
y = [4, 5]
plt.plot(x, y)
plt.show()
medium
A. x and y lists have different lengths causing an error.
B. plt.plot requires only one argument, so two are invalid.
C. plt.show() is missing to display the plot.
D. No error; the plot will display correctly.

Solution

  1. Step 1: Check lengths of x and y lists

    x has 3 elements, y has 2 elements; they must be equal length for plt.plot.
  2. Step 2: Understand plt.plot requirements

    plt.plot needs x and y lists of same length to pair points; mismatch causes error.
  3. Final Answer:

    x and y lists have different lengths causing an error. -> Option A
  4. Quick Check:

    Equal length x and y needed [OK]
Hint: x and y must have same length for plt.plot [OK]
Common Mistakes:
  • Ignoring length mismatch of x and y
  • Thinking plt.plot accepts different length lists
  • Assuming plt.show() missing causes error
5. You want to plot two lines on the same graph: y = x and y = x² for x values 0 to 3. Which code correctly does this?
hard
A. plt.plot([0,1,2,3], [0,1,2,3]) plt.plot([0,1,2,3], [0,1,4,9]) plt.show()
B. plt.plot([0,1,2,3], [0,1,4,9]) plt.show() plt.plot([0,1,2,3], [0,1,2,3])
C. plt.plot([0,1,2,3], [0,1,2,3], [0,1,4,9]) plt.show()
D. plt.plot([0,1,2,3], [0,1,2,3]) plt.show() plt.plot([0,1,2,3], [0,1,4,9])

Solution

  1. Step 1: Plot first line y = x

    Use plt.plot([0,1,2,3], [0,1,2,3]) to plot y = x.
  2. Step 2: Plot second line y = x² on same graph

    Use plt.plot([0,1,2,3], [0,1,4,9]) to plot y = x² on same figure before plt.show().
  3. Step 3: Call plt.show() once after both plots

    Calling plt.show() displays both lines together.
  4. Final Answer:

    plt.plot([0,1,2,3], [0,1,2,3]) plt.plot([0,1,2,3], [0,1,4,9]) plt.show() -> Option A
  5. Quick Check:

    Multiple plt.plot calls before plt.show() [OK]
Hint: Call plt.plot twice, then plt.show once [OK]
Common Mistakes:
  • Calling plt.show() before all plots
  • Trying to plot two lines in one plt.plot call incorrectly
  • Plotting lines in wrong order (does not affect but confuses)
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