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Code: Select all

[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]]

Code: Select all

import pandas as pd
import numpy as np

# Create the DataFrame
df = pd.DataFrame(np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]]))

# Initialize an empty list to store the result
result = []

# Iterate over the rows in the DataFrame
for i in range(len(df)):
# If it's the first row, append the row with an empty list
if i == 0:
result.append(list(df.iloc[i]) + [[]])
# If it's not the first row, concatenate the current and previous row
else:
current_row = list(df.iloc[i])
previous_row = list(df.iloc[i-1])
concatenated_row = current_row + [previous_row + current_row]
result.append(concatenated_row)

# Print the result
print(result)