Learn Line Plot | Creating Commonly Used Plots

Applications

Line plot is used to depict the relationship between two variables (e.g. x, y) using straight lines. More formally, it shows the relationship between continuous or ordinal variables in a continuous data point manner. Moreover, it can show how a certain variable changes with time.

Creating a Line Plot

Use the familiar plot() function from pyplot to create line plots. Here's an example that displays a quadratic relationship between two variables:


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import matplotlib.pyplot as plt
import numpy as np

data_linear = np.arange(0, 6)
data_squared = data_linear ** 2

# Creating a line plot with specifying x and y
plt.plot(data_linear, data_squared, '-o')
plt.show()

In fact, this code can even be further simplified. Have a look at another example:


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import matplotlib.pyplot as plt
import numpy as np
data_squared = np.arange(0, 6) ** 2
# Creating a line plot using only one array
plt.plot(data_squared, '-o')
plt.show()

When only one array (or pandas.Series()) like data_squared is passed to the plot() function, matplotlib uses the array values for the y-axis. The x-axis is automatically generated using the element indices — in this case, the numbers from 0 to 5.

Task

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Use the correct function for creating a line plot.
Pass in the correct order x_data (x-axis) and y_data (y-axis) as the first two arguments.
Pass the rightmost argument such that the plot will have markers and lines.

Solution

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Section 2. Chapter 1

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Suggested prompts:

Can you explain the difference between passing one array and two arrays to plt.plot()?

What does the '-o' argument do in the plot function?

How does matplotlib generate the x-axis when only one array is provided?

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Applications

Creating a Line Plot

Use the familiar plot() function from pyplot to create line plots. Here's an example that displays a quadratic relationship between two variables:


              123456789
            
import matplotlib.pyplot as plt
import numpy as np

data_linear = np.arange(0, 6)
data_squared = data_linear ** 2

# Creating a line plot with specifying x and y
plt.plot(data_linear, data_squared, '-o')
plt.show()

In fact, this code can even be further simplified. Have a look at another example:


              123456
            
import matplotlib.pyplot as plt
import numpy as np
data_squared = np.arange(0, 6) ** 2
# Creating a line plot using only one array
plt.plot(data_squared, '-o')
plt.show()

Task

Swipe to start coding

Use the correct function for creating a line plot.
Pass in the correct order x_data (x-axis) and y_data (y-axis) as the first two arguments.
Pass the rightmost argument such that the plot will have markers and lines.

Solution

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Everything was clear?

Thanks for your feedback!

Section 2. Chapter 1

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Line Plot

Applications

Creating a Line Plot

Solution

Awesome!

Line Plot

Applications

Creating a Line Plot

Solution

Awesome!