Python-相关性分析

数据之间，数据和结局指标之间的相关性用python可以直观展示。

加载数据和模块

import pandas as pdimport numpy as npimport warnings%matplotlib inlinewarnings.filterwarnings('ignore')df = pd.read_csv('eicu-corr-20201012.csv')

#加载模块import seaborn as snsimport matplotlib.pyplot as pltsns.set(color_codes=True)

结果展示

fgure, ax = plt.subplots(figsize=(36,30))sns.heatmap(df.corr(), square=True, annot=True, ax=ax)

截取部分

调整颜色和间距

figure, ax = plt.subplots(figsize=(36,30))sns.heatmap(df.corr(), square=True, annot=True,linewidths=0.2, cmap='YlGnBu', ax=ax)

figure, ax = plt.subplots(figsize=(36,30))sns.heatmap(df.corr(), square=True, annot=True,linewidths=0.2, cmap='Accent', ax=ax)

加入图片名称

figure, ax = plt.subplots(figsize=(36,30),dpi=80)sns.heatmap(df.corr(), square=True, annot=True,linewidths=0.2, cmap='RdYlGn', ax=ax)plt.title('Correlogram of mtcars', fontsize=22)