image_output_1.png
import matplotlib.pyplot as plt

data.shape

Color_Count = data.color.value_counts()
idx = range(2)
labels = ['Color', 'Black & White']
plt.xticks(idx, labels)

Director = data.director_name.value_counts()
D_Name = Director.head(n=10).index
New_D = data[(data['director_name'].isin(D_Name))]
New_D.pivot_table(index=['director_name','imdb_score'],aggfunc='mean')

plt.figure(1,figsize=(12,6))
plt.subplot(1,2,1)
Director.head(n=10).sort_index().plot(kind='bar')
plt.title('Top 10 directors that have most volume movies')

plt.subplot(1,2,2)
New_D.groupby(['director_name'])['imdb_score'].mean().plot(kind='bar')
plt.xlabel("")
plt.title("Top 10 direcotors' average IMDB scores")

plt.show()

Language = data.language.value_counts()
Language.head(n=10).plot(kind='bar')
plt.title('Top 10 movie languages')
plt.show()