#python
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import pandas as pd # Example DataFrame with a column containing lists df = pd.DataFrame({'Column1': [[1, 2], [3], [4, 5]], 'Column2': [[6, 7], [8,...
import pandas as pd import numpy as np # Example DataFrame with NaN values df = pd.DataFrame({'Column1': [1, np.nan, 3], 'Column2': ['A', np.nan,...
import pandas as pd # Example DataFrame df = pd.DataFrame({'Column1': [1, 2, 3], 'Column2': ['A', 'B', 'C']}) # Iterate over the DataFrame for...
from gensim import corpora, models # Example TF-IDF vector tfidf_vector = [(0, 0.25), (1, 0.5), (2, 0.75)] # Create a dictionary to map word indices...
import pandas as pd # Example DataFrames df1 = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) df2 = pd.DataFrame({'A': [7, 8, 9], 'B': [10, 11,...
import pandas as pd # Example DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # Get the last row using iloc last_row =...
