seaborn学习笔记
数据集的可视化展示对于分析数据集内在的规律有着很大帮助,因此我想着先学习一点matplotlib和seaborn的画图操作。 import numpy as np import pandas as pd import seaborn as sns from scipy import stats,integrate from sklearn.datasets import load_boston import matplotlib.pyplot as plt %matplotlib inline 加载数据集: Data = load_boston() X=pd.DataFrame(Data["data"]) y=pd.DataFrame(Data["target"]) Data=pd.DataFrame(np.hstack((X,y))) data=pd.read_csv("Desktop/creditcard.csv") iris_data = sns.load_dataset('iris') Data.columns=['a','b','c','d','e','f','g','h',...