Problem 2 using Python NumPy and Pandas libraries NOTES: Import NumPy as np and Pandas as...
Problem 2 using Python NumPy and Pandas libraries NOTES: Import NumPy as np and Pandas as pd Given the following piece of code to create a NumPy array,
anIntArray: anIntArray = np.random.randint(5, 72, 48)
Add Python code to convert this array into a Pandas series and then extract values stored at the positions 0, 5, 10, 15, 20 of the series.
Homework Answers
In case of any query do comment. Please rate answer as well. Thanks
Code:
import numpy as np
import pandas as pd
#generate numpy aray
anIntArray = np.random.randint(5, 72, 48)
#convert the array into pandas series
convertedSeries = pd.Series(anIntArray)
#display the desired position data from converted series
print("value at location 0: ", convertedSeries[0])
print("value at location 5: ", convertedSeries[5])
print("value at location 10: ", convertedSeries[10])
print("value at location 15: ", convertedSeries[15])
print("value at location 20: ", convertedSeries[20])
=============screen shot of the code for indentation======
Output:
Add Answer to:
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abscissa = np.arange(20)
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, [
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,
’
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