Hands-On Data Science with Anaconda

Inputting data using Python

Similarly, we can use Python to retrieve the data, as shown in the code here:

import pandas as pd 
path="http://archive.ics.uci.edu/ml/machine-learning-databases/" 
dataset="iris/bezdekIris.data" 
inFile=path+dataset 
data=pd.read_csv(inFile,header=None) 
data.columns=["sepalLength","sepalWidth","petalLength","petalWidth","Class"] 

After retrieving data, the print(data.head(2)) function can be used to see the first two instances:

> print(data.head(2))    sepalLength  sepalWidth  petalLength  petalWidth        Class
0          5.1         3.5          1.4         0.2  Iris-setosa
1          4.9         3.0          1.4         0.2  Iris-setosa

When typing pd.read.csv(), we can find the definitions of all input variables, shown in the following screenshot. Again, to save space, only the first several ...