Jan Mühlnikel
test
889a1b1
raw
history blame
395 Bytes
import pandas as pd
import numpy as np
def find_similar(p_index, similarity_matrix, filtered_df, top_x):
selected_row = similarity_matrix[p_index]
filtered_indices = filtered_df.index.tolist()
print(filtered_indices)
index_position_mapping = {index: position for position, index in enumerate(filtered_indices)}
print(index_position_mapping)
return "top_projects_df"