我有以下数据集,我想要创建一个地块,与列进行比较。import matplotlib.pyplot as pltds.head(5) # Only the fist 5 rows to show
ds1= ds.head(4).drop(['Colors Reported','State'],axis=1) # Droping of unnecess
您可以通过使用相应的参数调用clear函数来检查它。(feature) and value which returns count of the value,df - Pandas dataframeval - value of the feature
value_counts- Value count of the f
我正在编写一个程序,通过熵离散化来离散一组属性。目标是解析数据集。is: {cardinalityS1}') cardinalityS2 = len(pd.Index(s2['A']).value_counts# calculate the frequency of class_i in S1 pri