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Articles tagged with #pandas
import pandas as pd # Example DataFrame with a column containing lists df = pd.DataFrame({'Column1': [[1, 2], [3], [4, 5]], 'Column2': [[6, 7], [8, 9], [10]]}) # Find the column with lists of length 1 result = df.apply(lambda x: x.str.len() == 1).a...
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, 'C'], 'Column3': [np.nan, np.nan, np.nan]}) # Replace NaN values with empty string df.fillna('', inpla...
import pandas as pd # Example DataFrame df = pd.DataFrame({'Column1': [1, 2, 3], 'Column2': ['A', 'B', 'C']}) # Iterate over the DataFrame for index, row in df.iterrows(): column1_value = row['Column1'] column2_value = row['Column2'] pr...
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 to words dictionary = corpora.Dictionary() dictionary.id2token = {id_: token for token, id_ in dict...
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, 12]}) # Merge DataFrames by rows merged_df = pd.concat([df1, df2], axis=0) print("Merged DataFrame:") p...
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 = df.iloc[-1] print("Last row:") print(last_row) output: