Data Viz in Python – Creating Scatterplots With Seaborn

Creating Scatterplots With Seaborn


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

Create data

/* 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']
/* View first few rows of data */
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


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

/* Create scatterplot of dataframe */
sns.lmplot('x', /* Horizontal axis */
           'y', /* Vertical axis */
           data=df, /* Data source */
           fit_reg=False, /* Don't fit 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 */

/* Set y-axis label */
<matplotlib.text.Text at 0x112b7bb70>


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