Scatter Plot

%matplotlib inline

import matplotlib.pyplot as plt

import numpy as np

df.plot.scatter(x='IMDB_Rating', y='Likability' , c='DarkBlue')

plt.title('My Scatter Plot!')

plt.xlabel('My Awesome X Label!')

plt.ylabel('My Wacky Y Label')

plt.show()

Bar Chart

Group = df.groupby('MPAA_Rating')

df1 = Group.IMDB_Rating.mean()

%matplotlib inline

import matplotlib.pyplot as plt

import numpy as np

df1.plot.bar(x='MPAA_Rating', y='IMDB_Rating', rot=50)

plt.title('My Bar Chart!')

plt.xlabel('My Awesome X Label!')

plt.ylabel('My Wacky Y Label')

plt.ylim(0,10)

plt.show()

Horizontal Bar Chart

Group = df.groupby('MPAA_Rating')

df1 = Group.IMDB_Rating.mean()

%matplotlib inline

import matplotlib.pyplot as plt

import numpy as np

df1.plot.barh(x='MPAA_Rating', y='IMDB_Rating', rot=0, color='DarkRed')

plt.title('My Horizontal Bar Chart!')

plt.xlabel('My Awesome X Label!')

plt.ylabel('My Wacky Y Label')

plt.ylim(0,10)

plt.show()

Line Chart

Group = df.groupby('Year')

df1 = Group.IMDB_Rating.count()

%matplotlib inline

import matplotlib.pyplot as plt

import numpy as np

df1.plot.line(x='Year', y='IMDB_Rating', rot=50, color='HotPink', Linewidth = 4)

plt.title('My Line Chart!')

plt.xlabel('My Awesome X Label!')

plt.ylabel('My Wacky Y Label')

plt.show()

Pie Chart

Group = df.groupby('Platform')

df1 = pd.DataFrame(Group.IMDB_Rating.count())

df2 = df1.reset_index()

%matplotlib inline

import matplotlib.pyplot as plt

import numpy as np

labels = df2.Platform

colors = ['DarkGreen', 'yellowgreen', 'DarkRed']

explode = (0.0, 0.0, 0.1)

plt.pie(df1, explode=explode, labels=labels, colors=colors, autopct='%1.2f%%', shadow=True, startangle=90)

plt.title('My Pie Chart! \n\n Percent of Observations!', color = 'blue')

plt.show()

Regression Parameter Plot

import statsmodels.api as sm

import statsmodels.formula.api as smf

fig = plt.figure(figsize=(15,15))

fig = sm.graphics.plot_partregress_grid(LinearRegression, fig=fig)

plt.show()