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Making NumPy arrays from lists

Recall how lists can contain anything? They can even contain other lists. In this exercise, you're going to demonstrate this feature and show how useful it is for creating our own NumPy arrays.

Seven lists are loaded into your workspace, each named after a day of the week: monday, tuesday, and so on. Each list contains the average hourly bicycle traffic across the Fremont bridge.

This exercise is part of the course

Python for MATLAB Users

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Exercise instructions

  • Create a list weekdays where each element is a daily list, starting on Monday.
  • Create a NumPy array traffic from the list weekdays.
  • Calculate the mean hourly traffic.
  • Plot the mean hourly traffic for weekdays.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Create a list "weekdays" where each element is a daily list, starting on Monday
weekdays = [____]

# Create a NumPy array "traffic" from the list "weekdays"
traffic = ____(weekdays)

# Calculate the hourly mean traffic
hourly = np.____(traffic,axis=0)

# Plot the mean hourly traffic for weekdays
plt.____(____)
plt.show()
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