Simple map price when the diagram below is a continuous curve,


I want a result is price curve is continuous, but the following can happen time corresponds to the price, help you a great god, and see if there are any good method?
Source code is too large, contains data for everybody great god help debugging, on the 1st floor, thank you!
CodePudding user response:
Code data on we
# coding=utf-8
The from __future__ import division
The import matplotlib. Pyplot as PLT
The import pandas as pd
Duan="-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -" # of difference in the console line breaks
If __name__=="__main__" :
Nump_array_date=[' 20170808210000 ', '20170808210100', '20170808210200', '20170808210300'
, '20170808210400', '20170808210500', '20170808210600', '20170808210700'
, '20170808210800', '20170808210900', '20170808211000', '20170808211100'
, '20170808211200', '20170808211300', '20170808211400', '20170808211500'
, '20170808211600', '20170808211700', '20170808211800', '20170808211900'
, '20170808212000', '20170808212100', '20170808212200', '20170808212300'
, '20170808212400', '20170808212500', '20170808212600', '20170808212700'
, '20170808212800', '20170808212900', '20170808213000', '20170808213100'
, '20170808213200', '20170808213300', '20170808213400', '20170808213500'
, '20170808213600', '20170808213700', '20170808213800', '20170808213900'
, '20170808214000', '20170808214100', '20170808214200', '20170808214300'
, '20170808214400', '20170808214500', '20170808214600', '20170808214700'
, '20170808214800', '20170808214900', '20170808215000', '20170808215100'
, '20170808215200', '20170808215300', '20170808215400', '20170808215500'
, '20170808215600', '20170808215700', '20170808215800', '20170808215900'
, '20170808220000', '20170808220100', '20170808220200', '20170808220300'
, '20170808220400', '20170808220500', '20170808220600', '20170808220700'
, '20170808220800', '20170808220900', '20170808221000', '20170808221100'
, '20170808221200', '20170808221300', '20170808221400', '20170808221500'
, '20170808221600', '20170808221700', '20170808221800', '20170808221900'
, '20170808222000', '20170808222100', '20170808222200', '20170808222300'
, '20170808222400', '20170808222500', '20170808222600', '20170808222700'
, '20170808222800', '20170808222900', '20170808223000', '20170808223100'
, '20170808223200', '20170808223300', '20170808223400', '20170808223500'
, '20170808223600', '20170808223700', '20170808223800', '20170808223900'
, '20170808224000', '20170808224100', '20170808224200', '20170808224300'
, '20170808224400', '20170808224500', '20170808224600', '20170808224700'
, '20170808224800', '20170808224900', '20170808225000', '20170808225100'
, '20170808225200', '20170808225300', '20170808225400', '20170808225500'
, '20170808225600', '20170808225700', '20170808225800', '20170808225900'
, '20170808230000', '20170809090000', '20170809090100', '20170809090200'
, '20170809090300', '20170809090400', '20170809090500', '20170809090600'
, '20170809090700', '20170809090800', '20170809090900', '20170809091000'
, '20170809091100', '20170809091200', '20170809091300', '20170809091400'
, '20170809091500', '20170809091600', '20170809091700', '20170809091800'
, '20170809091900', '20170809092000', '20170809092100', '20170809092200'
, '20170809092300', '20170809092400', '20170809092500', '20170809092600'
, '20170809092700', '20170809092800', '20170809092900', '20170809093000'
, '20170809093100', '20170809093200', '20170809093300', '20170809093400'
, '20170809093500', '20170809093600', '20170809093700', '20170809093800'
, '20170809093900', '20170809094000', '20170809094100', '20170809094200'
, '20170809094300', '20170809094400', '20170809094500', '20170809094600'
, '20170809094700', '20170809094800', '20170809094900', '20170809095000'
, '20170809095100', '20170809095200', '20170809095300', '20170809095400'
, '20170809095500', '20170809095600', '20170809095700', '20170809095800'
, '20170809095900', '20170809100000', '20170809100100', '20170809100200'
, '20170809100300', '20170809100400', '20170809100500', '20170809100600'
, '20170809100700', '20170809100800', '20170809100900', '20170809101000'
, '20170809101100', '20170809101200', '20170809101300', '20170809101400'
, '20170809103000', '20170809103100', '20170809103200', '20170809103300'
, '20170809103400', '20170809103500', '20170809103600', '20170809103700'
, '20170809103800', '20170809103900', '20170809104000', '20170809104100'
, '20170809104200', '20170809104300', '20170809104400', '20170809104500'
nullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnullnull