In [1]:

    

import pandas as pd
%matplotlib inline
import random
import matplotlib.pyplot as plt
import seaborn as sns


    

In [2]:

    

# Create empty dataframe
df = pd.DataFrame()

# Add columns
df['x'] = random.sample(range(1, 1000), 5)
df['y'] = random.sample(range(1, 1000), 5)
df['z'] = [1,0,0,1,0]
df['k'] = ['male','male','male','female','female']


    

In [3]:

    

# View first few rows of data
df.head()


    

    
Out[3]:







  

    

      

      
x
      
y
      
z
      
k
    
  
  

    

      
0
      
466
      
948
      
1
      
male
    
    

      
1
      
832
      
481
      
0
      
male
    
    

      
2
      
978
      
465
      
0
      
male
    
    

      
3
      
510
      
206
      
1
      
female
    
    

      
4
      
848
      
357
      
0
      
female
    
  

In [4]:

    

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

# Create scatterplot of dataframe
sns.lmplot('x', # Horizontal axis
           'y', # Vertical axis
           data=df, # Data source
           fit_reg=False, # Don't fix a regression line
           hue="z", # Set color
           scatter_kws={"marker": "D", # Set marker style
                        "s": 100}) # S marker size

# Set title
plt.title('Histogram of IQ')

# Set x-axis label
plt.xlabel('Time')

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


    

    
Out[4]:





<matplotlib.text.Text at 0x112b7bb70>