09-recommend-musical-artists-part-2.py

'''
Recommend musical artists part II

Suppose you were a big fan of Bruce Springsteen - which other musicial artists might you like? Use your NMF features from the previous exercise and the cosine similarity to find similar musical artists. A solution to the previous exercise has been run, so norm_features is an array containing the normalized NMF features as rows. The names of the musical artists are available as the list artist_names.

INSTRUCTIONS
100XP
Import pandas as pd.
Create a DataFrame df from norm_features, using artist_names as an index.
Use the .loc[] accessor of df to select the row of 'Bruce Springsteen'. Assign the result to artist.
Apply the .dot() method of df to artist to calculate the dot product of every row with artist. Save the result as similarities.
Print the result of the .nlargest() method of similarities to display the artists most similar to 'Bruce Springsteen'.
'''
# Import pandas
import pandas as pd

# Create a DataFrame: df
df = pd.DataFrame(norm_features, index=artist_names)

# Select row of 'Bruce Springsteen': artist
artist = df.loc['Bruce Springsteen']

# Compute cosine similarities: similarities
similarities = df.dot(artist)

# Display those with highest cosine similarity
print(similarities.nlargest())