About performance established of analysis under Autonomous Python Console with multi .nc files for big data as time series

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You know that analysis of Bigdata can cause to serious problems for some conditions...In this mean,this example will establish good explanation on autonomous python platform against such conditions...
Chapter.plotting via same platform with extracting from .nc files based on day of Temperature records of Mt.Katmandu for apprx.5 years!!!!

 Firstly,I share datalink for this bigdata set;


Structure as a whole of Program;

A presentation about File Explorer;


Important Note.I especially emphasize about role of datasheet control.Supplementary clear information for this condition;



So,I mean that about effect of this parametric check for datasheet...Otherwise,timecounter is not progressing!!!!!!!!!!!!!!!!!
(I can express as most critic point for this program) 
This progress is a little bit "time consuming"...I summary presentations from first and last part for conclusion;




 And next,df.plot() conclusion at IPython Console


 I summary about some steps from csv of  program after this step;

 
Where,You will evaluate that subject chapters as additionally data skills for graphic presentation after some steps.So,I underline that Ipython Console has to extremely performance

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