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Update 06-数据汇总.md

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`@@ -79,6 +79,21 @@ df.cov()`
`79`	`79`	`# 相关性分析`
`80`	`80`	`df['price'].corr(df['m-point'])`
`81`	`81`	`df.corr()`
	`82`	`+`
	`83`	`+# 数据标准化`
	`84`	`+from sklearn.preprocessing import StandardScaler`
	`85`	`+std = StandardScaler()`
	`86`	`+std.fit(df)`
	`87`	`+X_std = std.transform(df)`
	`88`	`+`
	`89`	`+# 通过标准差找出异常值:平均值上下1.96个标准差区间以外的值`
	`90`	`+meangrade = df['a'].mean()`
	`91`	`+stdgrade = df['a'].std()`
	`92`	`+toprange = meangrade + stdgrade * 1.96`
	`93`	`+botrange = meangrade - stdgrade * 1.96`
	`94`	`+copydf = df`
	`95`	`+copydf = copydf.drop(copydf[copydf['a']> toprange].index)`
	`96`	`+copydf = copydf.drop(copydf[copydf['a']< botrange].index)`
`82`	`97`	```
`83`	`98`
`84`	`99`	`<br/>`

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