利用Python進行數據分析_數據聚合與分組運算_數據聚合

GroupBy

按發行人彙總2021年截至目前債券實際發行規模的統計

from pandas import Series,DataFrame
import pandas as pd
import pymysql

db = pymysql.connect(host='127.0.0.1',
                    port =3306,
                    user = 'root',
                    password = 'root',
                   database = 'jydb',charset='GBK')

sql = """SELECT MainCode,BondNature,Issuer,PlanIssueSize,ActualIssueSize FROM Bond_IssueNew where IssueDateStart>='2021-01-01"""

df = pd.read_sql(sql,db)
grouped = df['ActualIssueSize'].groupby(df['Issuer'])#按Issuer進行分組，並計算ActualIssueSize的和

df1 = grouped()
df1.to_excel('2.xlsx')

執行結果：

 

 

 

 對分組進行迭代

 

from pandas import Series,DataFrame
import pandas as pd
import pymysql

db = pymysql.connect(host='127.0.0.1',
                    port =3306,
                    user = 'root',
                    password = 'root',
                   database = 'jydb',charset='GBK')

sql = """SELECT MainCode,BondNature,Issuer,PlanIssueSize,ActualIssueSize FROM Bond_IssueNew where IssueDateStart>='2021-01-01'"""

df = pd.read_sql(sql,db)
for (k1,k2),group in df.groupby(['BondNature','Issuer']):
    print(k1,k2)
    print(group)

 

執行結果：