import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
plt.style.use('seaborn-white')
%matplotlib inline
# dataset resource : http://blog.revolutionanalytics.com/2017/05/the-datasaurus-dozen.html
datasauras = pd.read_csv('DatasaurusDozen.tsv',sep='\t')
dino = datasauras[datasauras['dataset']=='dino']
datasauras.head()
dataset | x | y | |
---|---|---|---|
0 | dino | 55.3846 | 97.1795 |
1 | dino | 51.5385 | 96.0256 |
2 | dino | 46.1538 | 94.4872 |
3 | dino | 42.8205 | 91.4103 |
4 | dino | 40.7692 | 88.3333 |
plt.scatter(dino['x'],dino['y'])
plt.title("Dino Plot",fontsize=18)
<matplotlib.text.Text at 0x21860d17438>