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 ...