Jupyter Slides Demo

In [23]:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
plt.style.use('seaborn-white')
%matplotlib inline
In [28]:
# dataset resource : http://blog.revolutionanalytics.com/2017/05/the-datasaurus-dozen.html

datasauras  = pd.read_csv('DatasaurusDozen.tsv',sep='\t')
In [29]:
dino = datasauras[datasauras['dataset']=='dino']
In [30]:
datasauras.head()
Out[30]:
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

Visualization

In [31]:
plt.scatter(dino['x'],dino['y'])
plt.title("Dino Plot",fontsize=18)
Out[31]:
<matplotlib.text.Text at 0x21860d17438>