Generate a scatter plot using Seaborn in Python

import modules

import pandas as pd
import numpy as np
%matplotlib inline
import seaborn as sns

create dummy dataframe

raw_data = {'name': ['Willard Morris', 'Al Jennings', 'Omar Mullins', 'Spencer McDaniel'],
        'age': [20, 19, 22, 21],
        'favorite_color': ['blue', 'blue', 'yellow', "green"],
        'grade': [88, 92, 95, 70]}
df = pd.DataFrame(raw_data, index = ['Willard Morris', 'Al Jennings', 'Omar Mullins', 'Spencer McDaniel'])
age favorite_color grade name
Willard Morris 20 blue 88 Willard Morris
Al Jennings 19 blue 92 Al Jennings
Omar Mullins 22 yellow 95 Omar Mullins
Spencer McDaniel 21 green 70 Spencer McDaniel

generate a scatter plot using seaborn

# Set style of scatterplot
sns.set_context("notebook", font_scale=1.1)

# Create scatterplot of dataframe
sns.lmplot('age', # Select df column name for horizontal axis element
           'grade', # Select df column name for vertical axis element
           df, # Select data source
           fit_reg = True, # Fix a regression line
          scatter_kws={"s": 100}) # S marker size

# Set title
plt.title('Student grades vs. age')

# Set x-axis label

# Set y-axis label

#complete docs: