Computers and Technology, 25.11.2021 05:40 bella2331

In 2]: Import necessary libraries import pandas as pd import numpy as np In [3]: * * #** GRADED # (a) Determine the shape, number of dimensions and type of #elements in the numpy array arr # (b) Determine the sum of elements in arr # (c) Determine the mean of elements in arr * (d) Create an array of the same shape as arr but filled with zeros # (e) Create an array of the same shape as arr but filled with ones # (f) Create an array of the same shape as arr but where all elements are squared values # (g) Create an array result of shape 33 resulting from multiplication of arr with transpose(c arr = np. arange (15).reshape(3, 5) * In [4]: #** GRADED # The following piece of code creates a DataFrame # (a) Determine the shape of the dataframe # (b) Print out all the columns of the dataframe # (C) Print the 3rd element of the dataframe # (d) Find the average of 'petal_width' where species is 'virginica' # (e) Find the maximum of 'sepal_width' where species is 'setosa' # (f): What is the average value of sepal_length # (g): What is the maximum value of sepal_width # (h): What is the minimum value of petal_width import pandas as pd df = pd. read_csv('https://raw. githubusercontent. com/mwaskom/seaborn-data/master/iri s. csv') df. head(10) #prints the first 10 rows

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In 2]: Import necessary libraries import pandas as pd import numpy as np In [3]: * * #** GRADED # (a...

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