Create a scatter plot in Python with Seaborn

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'])
df

	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)
sns.set_style("ticks")

# 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
plt.xlabel('Age')

# Set y-axis label
plt.ylabel('Grade')

#complete docs: https://seaborn.pydata.org/generated/seaborn.lmplot.html#seaborn.lmplot