dyear | a climate and simulation data visualization component | Data Visualization library

by ksteinfe C# Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | dyear Summary

dyear is a C# library typically used in Analytics, Data Visualization applications. dyear has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

a climate and simulation data visualization component for Grasshopper for Rhino

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Support

dyear has a low active ecosystem.

It has 6 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

dyear has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of dyear is current.

Quality

dyear has 0 bugs and 0 code smells.

Security

dyear has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

dyear code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dyear does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

dyear releases are not available. You will need to build from source code and install.

It has 73139 lines of code, 0 functions and 16 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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dyear Key Features

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dyear Examples and Code Snippets

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Community Discussions

Trending Discussions on dyear

Efficient way subtract a row with previous row seperated by group with Pandas

Gijgo Grid filter on number column not working

How can I optimize a query with derived tables?

Using a LabelEncoder in sklearn's Pipeline gives: fit_transform takes 2 positional arguments but 3 were given

How do i calculate all the profit for a certain day?

QUESTION

Efficient way subtract a row with previous row seperated by group with Pandas

Asked 2022-Jan-30 at 16:30

The objective is to subtract a row (N) with previous row (N-1) separated by groups.

Given a df

...

ANSWER

Answered 2022-Jan-30 at 16:03

I think this is actually quite simple. Use groupby + cumsum:

Source https://stackoverflow.com/questions/70916329

QUESTION

Gijgo Grid filter on number column not working

Asked 2021-Sep-01 at 17:00

I have a gijgo grid with a column Year(which has values 2011,2012,2013,etc). When I debug the json data returned in javascript, the the year value is number but when I filter this grid on this column, I get an error -"Uncaught TypeError: f.toUpperCase is not a function at gijgo.min.js:1"

The javascript code is below

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ANSWER

Answered 2021-Sep-01 at 17:00

Since Gijgo Grid only allows filtering on fields which are bound with only string values, I converted my numeric field "CalendarYear" in javascript array object to string before binding the data to the grid, so now since "CalendarYear" is string, filter is working on it.

Source https://stackoverflow.com/questions/69007275

QUESTION

How can I optimize a query with derived tables?

Asked 2021-Feb-08 at 01:52

The query below is part of a stored procedure. I think if I can figure out how to fix the below query I can apply those fixes to the rest of my stored procedure.

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ANSWER

Answered 2021-Feb-08 at 01:52

For starters, replace the 6 subqueries that reach for Entity.collectoryear with a JOIN to get it once.

JOIN to bill and billitem only once, then use CASE to split the data into 3 choices.

What version are you using? In the past, it seems that the Optimizer failed to do any sensible optimizations with @variables. A simple alternative is to use a JOIN such as

Source https://stackoverflow.com/questions/66034132

QUESTION

Using a LabelEncoder in sklearn's Pipeline gives: fit_transform takes 2 positional arguments but 3 were given

Asked 2020-Oct-14 at 11:23

I've been trying to run some ML code but I keep faltering at the fitting stage after running my pipeline. I've looked around on various forums to not much avail. What I've discovered is that some people say you can't use LabelEncoder within a pipeline. I'm not sure how true that is. If anyone has any insights on the matter I'd be very happy to hear them.

I keep getting this error:

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ANSWER

Answered 2020-Oct-14 at 11:21

The problem is the same as spotted in this answer, but with a LabelEncoder in your case. The LabelEncoder's fit_transform method takes:

Source https://stackoverflow.com/questions/64351918

QUESTION

How do i calculate all the profit for a certain day?

Asked 2020-Apr-30 at 11:43

double CheckProfitSofar() 
{
      datetime today = iTime(_Symbol,PERIOD_D1,0);
      int dDay=TimeDay(today);
      int dMonth = TimeMonth(today);
      int dYear = TimeYear(today);
      int todayYear, todayMonth, todayDay;
      datetime opnOrdTime = 0;
      double opnOrdProfit =0;
      double addLoss = 0;
      for(int s=0 ; s

...

ANSWER

Answered 2020-Apr-30 at 11:43

You just need start of that particular day received by datetime timeStart = iTime(_Symbol,PERIOD_D1,i) and end of that day datetime timeEnd=timeStart+PeriodSeconds(PERIOD_D1);. Then loop over closed deals and filter them out if OrderClosePrice() is not in range.

Source https://stackoverflow.com/questions/61507093

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

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Install dyear

You can download it from GitHub.

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