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Using the computational language in python it is possible to write a code that we will use graphics to organize the names of the directors and the films they made.
<h3>Writing code in python:</h3><em>import pandas as pd</em>
<em>df = pd.read_csv('all_data/movie_metadata.csv')</em>
<em>print('Shape: ',df.shape)</em>
<em>df.head()</em>
<em>name = df[['director_name','imdb_score']] </em>
<em>directors = name.groupby(['director_name']).mean() </em>
<em>directors = directors.reset_index() </em>
<em>directors = directors.stack()</em>
<em>print(directors,'\n')</em>
<em>print(type(directors),'\n')</em>
<em>print(directors[directors=='Steven Spielberg'],'\n')</em>
<em>print(directors[102]['imdb_score'])</em>
<em>miyazaki = df[df['director_name'] == 'Hayao Miyazaki']['movie_title']</em>
<em>print(miyazaki)</em>
<em>pivot_agg = pd.pivot_table(df,values='imdb_score', index=['country'], columns=['director_name'],aggfunc=np.median)</em>
<em>pivot_agg</em>
<em>gladiator_duration = df[df['movie_title']=='Gladiator\xa0']['duration'] </em>
<em>gladiator_duration</em>
See more about python at brainly.com/question/18502436
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