Jan Mühlnikel
added single matching result table
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import pandas as pd
import numpy as np
def find_similar(p_index, similarity_matrix, projects_df, top_x):
selected_row = similarity_matrix[p_index]
top_indexes = np.argsort(selected_row)[-10:][::-1]
top_values = selected_row[top_indexes]
top_projects_df = projects_df.iloc[top_indexes]
top_projects_df["similarity"] = top_values
return top_projects_df