Fill in the blank with the appropriate command to produce a DataFrame with columns designated by list A and row index designated by list B: import pandas as pd D = [[1, 2], [3, 4]] A = ['A1', 'A2'] B = ['B1', 'B2'] # Fill in the blank print(D)

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Computer Science · Python Pandas

Fill in the blank with the appropriate command to produce a DataFrame with columns designated by list A and row index designated by list B: import pandas as pd D = [[1, 2], [3, 4]] A = ['A1', 'A2'] B = ['B1', 'B2'] # Fill in the blank print(D)

Verified Solution4 OptionsUpdated: October 2026👁️1 View

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D = pd.DataFrame(D, columns = A, index = B)

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Answer 1

D = pd.DataFrame(A, B, D)

Answer 2

D = pd.DataFrame(D, B, i = A)

Answer 3

D = pd.DataFrame(D, rows = B, columns = A)

Answer 4

D = pd.DataFrame(D, columns = A, index = B)

Fill in the blank with the appropriate command to produce a DataFrame with columns designated by list A and row index designated by list B: import pandas as pd D = [[1, 2], [3, 4]] A = ['A1', 'A2'] B = ['B1', 'B2'] # Fill in the blank print(D)

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Fill in the blank with the appropriate command to produce a DataFrame with columns designated by list A and row index designated by list B: import pandas as pd D = [[1, 2], [3, 4]] A = ['A1', 'A2'] B = ['B1', 'B2'] # Fill in the blank print(D)

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