版本：python3.6
相关安装库已装好：plotly，pymysql
代码如下：
import pymysql

连接数据库

db = pymysql.connect(host='',user='',passwd='',db='text',port=3306,charset='utf8')
cursor = db.cursor()
data = cursor.execute('SELECT * FROM ABC')
all = cursor.fetchall()
顺利连接，并用fetchall（）获取所有数据为(('18', '125', '285'), ('11', '178', '235'), ('10', '154', '254'), ('9', '124', '301'), ('18', '177', '256'), ('15', '152', '245'), ('12', '145', '234'), ('12', '167', '254'), ('17', '111', '289'), ('15', '187', '245'))分三列，列名分别为A，B，C
下面我就不知道咋操作了，试了好多种方法报错
还请大神指点迷津，最好测试能跑。

建议你使用pandas这个库来提取sql数据

import pandas as pd
import pymysql
conn = pymysql.connect(host=127.0.0.1'', port=3306, user='root', passwd='123456', db='mysql')
sql = "select * from user"
df = pd.read_sql(sql, conn)
print(df)  ##整个数据库的表格

A=df['A'].values.tolist()  ##A列数据
print(A)   

然后在去plotly绘图就可以了

dataset = {'x':A,
               'y': B,
               'text':C}

data_g = []

tr_x = Scatter(
        x=dataset['x'],
        y=dataset['y'],
        text=dataset['text'],
        textposition='top center',
        mode='markers+text',
        name='y'
)
data_g.append(tr_x)

layout = Layout(title="scatter plots", xaxis={'title': 'x'}, yaxis={'title': 'value'})
fig = Figure(data=data_g, layout=layout)
pltoff.plot(fig, filename=name)

https://blog.csdn.net/chengxuyuanyonghu/article/details/55519382
https://www.cnblogs.com/felixwang2/p/8903642.html

https://blog.csdn.net/fhaohaizi/article/details/78754423