Vectorization methods for looping a DataFrame
Now that you're familiar with vectorization in pandas and NumPy, you're going to compare their respective performances yourself.
Your task is to calculate the variance of all the hands in each hand using the vectorization over pandas Series and then modify your code using the vectorization over Numpy ndarrays method.
This exercise is part of the course
Writing Efficient Code with pandas
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Calculate the variance in each hand
start_time = time.time()
poker_var = poker_hands[[____, ____, ____, ____, ____]].____(____=____)
print("Time using pandas vectorization: {} sec".format(time.time() - start_time))
print(poker_var.head())