【数据准备和特征工程】1-2感知数据库中的数据

pymysql读取数据

import pymysql
mydb = pymysql.connect(host="localhost",    # ①
                       user='root',
                       password='********',
                       db="books",
                      )
cursor = mydb.cursor()    # ②
sql = "select * from mybooks"    # ③
cursor.execute(sql)    # ④
datas = cursor.fetchall()    # ⑤
for data in datas:
    print(data)

(1, 'Learn Python', 'phei')
(2, 'Django', 'phei')
(3, 'Data Analysis', 'phei')
(4, 'Machine Learning', 'PHEI')
(5, '数据可视化案例', 'gitchat')
(6, '零基础入手Python', 'gitchat')

文章目录

pymysql读取数据
pandas读取数据
将数据保存到数据库
- 先准备要放入数据库的数据
- 将数据存入数据库
- 看看存放结果

pandas读取数据

import pandas as pd

df = pd.read_sql_query(sql, con=mydb, index_col='id')
df

D:CSAppsanacondaanaconda3envsailibsite-packagespandasiosql.py:761: UserWarning: pandas only support SQLAlchemy connectable(engine/connection) ordatabase string URI or sqlite3 DBAPI2 connectionother DBAPI2 objects are not tested, please consider using SQLAlchemy
  warnings.warn(

	name	author
id
1	Learn Python	phei
2	Django	phei
3	Data Analysis	phei
4	Machine Learning	PHEI
5	数据可视化案例	gitchat
6	零基础入手Python	gitchat

将数据保存到数据库先准备要放入数据库的数据

df = pd.read_csv("../data/HospInfo.csv")
df.info()


RangeIndex: 4812 entries, 0 to 4811
Data columns (total 29 columns):
 #   Column                                                         Non-Null Count  Dtype 
---  ------                                                         --------------  ----- 
 0   Provider ID                                                    4812 non-null   int64 
 1   Hospital Name                                                  4812 non-null   object
 2   Address                                                        4812 non-null   object
 3   City                                                           4812 non-null   object
 4   State                                                          4812 non-null   object
 5   ZIP Code                                                       4812 non-null   int64 
 6   County Name                                                    4797 non-null   object
 7   Phone Number                                                   4812 non-null   int64 
 8   Hospital Type                                                  4812 non-null   object
 9   Hospital Ownership                                             4812 non-null   object
 10  Emergency Services                                             4812 non-null   bool  
 11  Meets criteria for meaningful use of EHRs                      4668 non-null   object
 12  Hospital overall rating                                        4812 non-null   object
 13  Hospital overall rating footnote                               1398 non-null   object
 14  Mortality national comparison                                  4812 non-null   object
 15  Mortality national comparison footnote                         1352 non-null   object
 16  Safety of care national comparison                             4812 non-null   object
 17  Safety of care national comparison footnote                    2168 non-null   object
 18  Readmission national comparison                                4812 non-null   object
 19  Readmission national comparison footnote                       1017 non-null   object
 20  Patient experience national comparison                         4812 non-null   object
 21  Patient experience national comparison footnote                1369 non-null   object
 22  Effectiveness of care national comparison                      4812 non-null   object
 23  Effectiveness of care national comparison footnote             1202 non-null   object
 24  Timeliness of care national comparison                         4812 non-null   object
 25  Timeliness of care national comparison footnote                1266 non-null   object
 26  Efficient use of medical imaging national comparison           4812 non-null   object
 27  Efficient use of medical imaging national comparison footnote  2033 non-null   object
 28  Location                                                       4812 non-null   object
dtypes: bool(1), int64(3), object(25)
memory usage: 1.0+ MB

将数据存入数据库

import pymysql
import sqlalchemy
from sqlalchemy import create_engine
connect_info = 'mysql+pymysql://{}:{}@{}:{}/{}'.format('root',
                                                       '********',
                                                       'localhost',
                                                       3306,
                                                       'pymysql')
engine = create_engine(connect_info)
df.to_sql('hosp_info',engine,if_exists='replace')
# if_exists='',replace:删除表,重新创建保存数据(覆盖数据),append:向表中追加数据

看看存放结果

conn = pymysql.connect(host="localhost",    # ①
                       user='root',
                       password='********',
                       db="pymysql")
cursor = conn.cursor()
sql = "select * from hosp_info"


df = pd.read_sql(sql, conn, index_col='Provider ID')
df.head()

D:CSAppsanacondaanaconda3envsailibsite-packagespandasiosql.py:761: UserWarning: pandas only support SQLAlchemy connectable(engine/connection) ordatabase string URI or sqlite3 DBAPI2 connectionother DBAPI2 objects are not tested, please consider using SQLAlchemy
  warnings.warn(

	index	Hospital Name	Address	City	State	ZIP Code	County Name	Phone Number	Hospital Type	Hospital Ownership	...	Readmission national comparison footnote	Patient experience national comparison	Patient experience national comparison footnote	Effectiveness of care national comparison	Effectiveness of care national comparison footnote	Timeliness of care national comparison	Timeliness of care national comparison footnote	Efficient use of medical imaging national comparison	Efficient use of medical imaging national comparison footnote	Location
Provider ID
10005	0	MARSHALL MEDICAL CENTER SOUTH	2505 U S HIGHWAY 431 NORTH	BOAZ	AL	35957	MARSHALL	2565938310	Acute Care Hospitals	Government - Hospital District or Authority	...	None	Same as the national average	None	Same as the national average	None	Above the national average	None	Below the national average	None	2505 U S HIGHWAY 431 NORTHnBOAZ, ALn
10012	1	DEKALB REGIONAL MEDICAL CENTER	200 MED CENTER DRIVE	FORT PAYNE	AL	35968	DE KALB	2568453150	Acute Care Hospitals	Proprietary	...	None	Same as the national average	None	Same as the national average	None	Above the national average	None	Same as the national average	None	200 MED CENTER DRIVEnFORT PAYNE, ALn
10032	2	WEDOWEE HOSPITAL	209 NORTH MAIN STREET	WEDOWEE	AL	36278	RANDOLPH	2563572111	Acute Care Hospitals	Government - Hospital District or Authority	...	None	Not Available	Results are not available for this reporting p...	Same as the national average	None	Same as the national average	None	Not Available	Results are not available for this reporting p...	209 NORTH MAIN STREETnWEDOWEE, ALn
10095	3	HALE COUNTY HOSPITAL	508 GREEN STREET	GREENSBORO	AL	36744	HALE	3346243024	Acute Care Hospitals	Government - Local	...	Results are not available for this reporting p...	Not Available	Results are not available for this reporting p...	Below the national average	None	Same as the national average	None	Not Available	Results are not available for this reporting p...	508 GREEN STREETnGREENSBORO, ALn
10131	4	CRESTWOOD MEDICAL CENTER	ONE HOSPITAL DR SE	HUNTSVILLE	AL	35801	MADISON	2568823100	Acute Care Hospitals	Proprietary	...	None	Same as the national average	None	Same as the national average	None	Same as the national average	None	Same as the national average	None	ONE HOSPITAL DR SEnHUNTSVILLE, ALn

5 rows × 29 columns

【数据准备和特征工程】1-2感知数据库中的数据

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