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HomeBackend DevelopmentPython TutorialPython uses Pandas to read CSV files and write them to MySQL

Summarize the various problems I encountered recently when using Python to read and write CSV to save the database.

Recommended related mysql video tutorials: "mysql tutorial"

Code:

reload(sys)
sys.setdefaultencoding('utf-8')
host = '127.0.0.1'
port = 3306
db = 'world'
user = 'root'
password = '123456'

con = MySQLdb.connect(host=host,charset="utf8",port=port,db=db,user=user,passwd=password)
try:
    df = pd.read_sql(sql=r'select * from city', con=con)
    df.to_sql('test',con=con,flavor='mysql')
except Exception as e:
    print(e.message)

If nothing else happens, it will print Say something: database flavor MySQL is not supported
I found the answer on stackoverflow: The flavor 'mysql' is deprecated in pandas version 0.19.

Let's try another way:

reload(sys)
sys.setdefaultencoding('utf-8')
host = '127.0.0.1'
port = 3306
db = 'world'
user = 'root'
password = '123456'

engine = create_engine(str(r"mysql+mysqldb://%s:" + '%s' + "@%s/%s") % (user, password, host, db))

try:
    df = pd.read_sql(sql=r'select * from city', con=engine)
    df.to_sql('test',con=engine,if_exists='append',index=False)
except Exception as e:
    print(e.message)

After running, ok, you can save the index parameter to indicate whether to store the index of the DataFrame as a column. Generally speaking, it is not needed, so the value is False

Now it seems that the problem has been solved, but there is still There is a small problem.
If I have a csv file containing Chinese (my Window):
name age class
Xiao Ming 15 first grade
Xiao Zhang 18 third grade

engine = create_engine(str(r"mysql+mysqldb://%s:" + '%s' + "@%s/%s") % (user, password, host, db))

try:
    df = pd.read_csv(r'C:\Users\xx\Desktop\data.csv')
    print(df)
    df.to_sql('test', con=engine, if_exists='append', index=False)
except Exception as e:
    print(e.message)

After printing, the characters are garbled . It is best to specify the encoding when we read csv. My local GBK:

df = pd.read_csv(r'C:\Users\xx\Desktop\data.csv',encoding='gbk')

We can print information normally, but an error is reported again. The error is as follows:

UnicodeEncodeError: 'latin-1' codec can't encode characters in position 0-1: ordinal not in range(256)

It's still an encoding problem. The reason is that we didn't specify the encoding when we saved it to the database. I was also fooled when I was trying to solve this problem. Everything on the Internet is available. I won’t talk about the process, but look at the code:

engine = create_engine(str(r"mysql+mysqldb://%s:" + '%s' + "@%s/%s?charset=utf8") % (user, password, host, db))

Solved

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