|
平均几分钟写入一次记录数据,想利用python做趋势,几年的数据,做出来如图:
X轴太多,加载在一起了,所以,想修改X轴坐标,结果报错:
Traceback (most recent call last):
File "D:\share\d.py", line 26, in <module>
plt.xticks(pd.date_range(new11.index[0],new11.index[-1],freq='M'),rotation=45)
File "C:\Anaconda2\lib\site-packages\pandas\tseries\index.py", line 2051, in date_range
closed=closed, **kwargs)
File "C:\Anaconda2\lib\site-packages\pandas\util\decorators.py", line 91, in wrapper
return func(*args, **kwargs)
File "C:\Anaconda2\lib\site-packages\pandas\tseries\index.py", line 267, in __new__
ambiguous=ambiguous)
File "C:\Anaconda2\lib\site-packages\pandas\tseries\index.py", line 427, in _generate
start = Times**p(start)
File "pandas\tslib.pyx", line 295, in pandas.tslib.Times**p.__new__ (pandas\tslib.c:9203)
File "pandas\tslib.pyx", line 1343, in pandas.tslib.convert_to_tsobject (pandas\tslib.c:25854)
TypeError: Cannot convert input to Times**p
代码如下:- #!/usr/local/miniconda2/envs/science/bin/python
- #-*- coding: utf-8 -*-
- import pandas as pd
- import matplotlib.pyplot as plt
- import matplotlib.dates as mdate
- import MySQLdb
- db=MySQLdb.connect(host="127.0.0.1",user='root',port=3306,db="test")
- sql2016="SELECT * FROM (SELECT DATE_FORMAT(Timee,'%Y-%m-%d %H:%i') AS riqi,PH AS 2016ph FROM table1 ) t WHERE t.riqi = 2016"
- sql2017="SELECT * FROM (SELECT DATE_FORMAT(Timee,'%Y-%m-%d %H:%i') AS riqi,PH AS 2017ph FROM table1 ) t WHERE t.riqi = 2017"
- df2017=pd.read_sql(sql2017,con=db)
- df2016=pd.read_sql(sql2016,con=db)
- new=pd.concat([df2016,df2017],axis=1)
- new_df=new[["riqi","2016ph","2017ph"]]
- new11=new_df.set_index("riqi")
- fig = plt.figure()
- ax = fig.add_subplot(111)
- ax.xaxis.set_major_formatter(mdate.DateFormatter('%Y-%m-%d'))
- plt.xticks(pd.date_range(new11.index[0],new11.index[-1],freq='M'),rotation=45)
- ax.plot(new11.index,new11['2016ph','2017ph'],color='r')
- new11.plot()
- plt.show()
复制代码
其中new11中值如下:
想问怎么修改,能实现,X轴以月为单位,谢谢!
|
|