append equivalent with concat in Pandas - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to combine two DataFrames using pandas concat.

Pandas

import pandas as pd

df1 = pd.DataFrame({'A': [1, 2]})
df2 = pd.DataFrame({'A': [3, 4]})
result = pd.[1]([df1, df2])

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

Amerge

Bappend

Cconcat

Djoin

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'append' which is deprecated in recent pandas versions.

Using 'merge' which is for joining on keys, not simple stacking.

pandas concat combines DataFrames along a particular axis. It is the recommended way to append DataFrames.

2fill in blank

medium

Complete the code to reset the index after concatenating two DataFrames.

Pandas

import pandas as pd

df1 = pd.DataFrame({'A': [1, 2]})
df2 = pd.DataFrame({'A': [3, 4]})
result = pd.concat([df1, df2], [1]=True)

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Aignore_index

Bdrop

Creset_index

Dinplace

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'reset_index' as a parameter to concat (it is a method on DataFrame).

Using 'drop' which is unrelated here.

The ignore_index=True option resets the index in the concatenated DataFrame to a default integer index.

3fill in blank

hard

Fix the error in the code to concatenate two DataFrames along columns.

Pandas

import pandas as pd

df1 = pd.DataFrame({'A': [1, 2]})
df2 = pd.DataFrame({'B': [3, 4]})
result = pd.concat([df1, df2], axis=[1])

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A-1

B0

C2

D1

Attempts:

3 left

💡 Hint

Common Mistakes

Using axis=0 which stacks rows instead of columns.

Using invalid axis values like 2 or -1.

Using axis=1 concatenates DataFrames side-by-side (columns). axis=0 stacks them vertically (rows).

4fill in blank

hard

Fill both blanks to create a concatenated DataFrame with a new index and drop the old index.

Pandas

import pandas as pd

df1 = pd.DataFrame({'A': [1, 2]}, index=[10, 20])
df2 = pd.DataFrame({'A': [3, 4]}, index=[30, 40])
result = pd.concat([df1, df2], [1]=True).[2](drop=True)

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Aignore_index

Breset_index

Csort

Ddrop

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'drop' as a parameter to concat (it is a method parameter).

Confusing 'sort' with index resetting.

ignore_index=True resets the index during concat, and reset_index(drop=True) removes the old index column if it exists.

5fill in blank

hard

Fill all three blanks to concatenate two DataFrames vertically, reset the index, and sort columns.

Pandas

import pandas as pd

df1 = pd.DataFrame({'B': [1, 2], 'A': [3, 4]})
df2 = pd.DataFrame({'A': [5, 6], 'B': [7, 8]})
result = pd.concat([df1, df2], [1]=True).[2](drop=True).[3](axis=1)

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Aignore_index

Breset_index

Csort_index

Dsort_values

Attempts:

3 left

💡 Hint

Common Mistakes

Using sort_values instead of sort_index for sorting columns.

Not dropping the old index after reset.

ignore_index=True resets the index during concat, reset_index(drop=True) removes the old index, and sort_index(axis=1) sorts columns alphabetically.