Pandas: Reverse order of a given DataFrame
Pandas: DataFrame Exercise-65 with Solution
Write a Pandas program to reverse order (rows, columns) of a given DataFrame.
Sample Solution :
Python Code :
import pandas as pd
df = pd.DataFrame({'W':[68,75,86,80,66],'X':[78,85,96,80,86], 'Y':[84,94,89,83,86],'Z':[86,97,96,72,83]});
print("Original DataFrame")
print(df)
print("\nReverse column order:")
print(df.loc[:, ::-1])
print("\nReverse row order:")
print(df.loc[::-1])
print("\nReverse row order and reset index:")
print(df.loc[::-1].reset_index(drop = True))
Sample Output:
Original DataFrame W X Y Z 0 68 78 84 86 1 75 85 94 97 2 86 96 89 96 3 80 80 83 72 4 66 86 86 83 Reverse column order: Z Y X W 0 86 84 78 68 1 97 94 85 75 2 96 89 96 86 3 72 83 80 80 4 83 86 86 66 Reverse row order: W X Y Z 4 66 86 86 83 3 80 80 83 72 2 86 96 89 96 1 75 85 94 97 0 68 78 84 86 Reverse row order and reset index: W X Y Z 0 66 86 86 83 1 80 80 83 72 2 86 96 89 96 3 75 85 94 97 4 68 78 84 86
Python-Pandas Code Editor:
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