python pandas dataframe

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Data analysis Essays (Python and Pandas and Matplotlib view data)

values appearDf.boxplot (column= ' label 1 ', by = ' Label 2 ')Plt.show ()The data under label 1 can then be plotted in a numerical distribution according to label 2As indicated below, it has been classified according to the level of education, high-level wage extremes, and other conclusions can be obtainedNote: When you want to paint, the individual input drawing instructions can not display graphics, then you need to enter Plt.show () on another line, condition: import Matplotlib.pyplot as Pl

Python&pandas connection to MySQL

1. Python and MySQL connection and operation, directly on the code, simple and direct efficiency:Import MySQLdbTry: Conn= MySQLdb.connect (host='localhost', user='Root', passwd='xxxxx', db='Test', charset='UTF8') cur=conn.cursor () Cur.execute ('CREATE TABLE User (id int,name varchar )') Value= [1,'Jkmiao'] Cur.execute ("INSERT into user values (%s,%s)", value) users= [] forIinchRange -): Users.append ((i,"User"+str (i))) Cur.executemany ("INSERT

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