SciPy with Pandas for data handling - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the scipy.stats module.

SciPy

from scipy import [1]

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Apandas

Bscipy

Cstats

Dnumpy

Attempts:

3 left

💡 Hint

Common Mistakes

Importing only scipy without .stats

Importing pandas or numpy instead

The correct import is from scipy import stats. This imports the scipy.stats module as stats.

2fill in blank

medium

Complete the code to calculate the Pearson correlation coefficient between two pandas Series, x and y.

SciPy

corr, p_value = stats.pearsonr([1], y)

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Ax

By

Cx.values

Dx.to_list()

Attempts:

3 left

💡 Hint

Common Mistakes

Passing y instead of x

Passing x.values or x.to_list() is optional but not required

The pearsonr function accepts array-like inputs. Passing the pandas Series x directly works fine.

3fill in blank

hard

Fix the error in the code to perform a t-test between two pandas Series, sample1 and sample2.

SciPy

t_stat, p_val = stats.ttest_ind(sample1, [1])

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Asample1

Bsample2

Csample2.values

Dsample1.values

Attempts:

3 left

💡 Hint

Common Mistakes

Passing sample1 twice

Passing sample2.values unnecessarily

The t-test compares two independent samples. The second argument should be the second sample, sample2.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps each word to its length only if the length is greater than 3.

SciPy

{word: [1] for word in words if [2]

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Alen(word)

Bword

Clen(word) > 3

Dword > 3

Attempts:

3 left

💡 Hint

Common Mistakes

Using the word itself as value

Using word > 3 which is invalid

The dictionary maps each word to its length, so the value is len(word). The condition filters words with length greater than 3, so the if condition is len(word) > 3.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps each uppercase word to its frequency only if frequency is greater than 1.

SciPy

{ [1]: [2] for [3], [2] in freq_dict.items() if [2] > 1 }

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Aword.upper()

Bfreq

Cword

Dcount

Attempts:

3 left

💡 Hint

Common Mistakes

Using count instead of freq

Using word instead of word.upper() as key

The dictionary keys are uppercase words, so word.upper(). The values are frequencies, so freq. The loop variables are word and freq.