Importing Pandas conventions - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import pandas with the common alias.

Pandas

import pandas as [1]

Drag options to blanks, or click blank then click option'

Apd

Bpn

Cps

Dpa

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'pn' or 'ps' which are not standard aliases.

Not using an alias at all.

The common alias for pandas is 'pd'. This is widely used in data science code.

2fill in blank

medium

Complete the code to import only the DataFrame class from pandas.

Pandas

from pandas import [1]

Drag options to blanks, or click blank then click option'

ADataFrame

BSeries

CPanel

DIndex

Attempts:

3 left

💡 Hint

Common Mistakes

Importing Series instead of DataFrame.

Importing Panel which is deprecated.

DataFrame is the main 2D data structure in pandas, often imported directly.

3fill in blank

hard

Fix the error in the import statement to use the common pandas alias.

Pandas

import pandas as [1]

Drag options to blanks, or click blank then click option'

Apandas

Bpnd

Cpd

Dpan

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'pandas' as alias which is redundant.

Using uncommon aliases like 'pan' or 'pnd'.

The standard alias for pandas is 'pd', not the full name or other variants.

4fill in blank

hard

Fill both blanks to import pandas and create a DataFrame using the alias.

Pandas

[1] as pd

df = pd.[2]({'A': [1, 2], 'B': [3, 4]})

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Aimport pandas

Bfrom pandas import DataFrame

CDataFrame

Dread_csv

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'from pandas import DataFrame' but then calling pd.DataFrame.

Using 'read_csv' instead of 'DataFrame' to create the DataFrame.

You import pandas as pd, then create a DataFrame using pd.DataFrame().

5fill in blank

hard

Fill all three blanks to import pandas, create a Series, and print it.

Pandas

[1] as pd

s = pd.[2]([10, 20, 30])

print([3])

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Aimport pandas

BSeries

Cs

DDataFrame

Attempts:

3 left

💡 Hint

Common Mistakes

Using DataFrame instead of Series to create s.

Printing pd.Series instead of the variable s.

Import pandas as pd, create a Series with pd.Series(), then print the Series variable s.