transformation

unable to transform one json form to another using jolt parser

由 自闭症网瘾萝莉.ら 提交于 2020-06-29 03:49:15
问题 I have a data like below: { "resourceType": "Immunization", "id": "example", "protocolApplied": [ { "series": "2-dose", "authority": { "reference": "Organization/org1", "type": "Organization", "display": "xyz organization" }, "targetDisease": [ { "coding": [ { "system": "http://snomed.info/sct", "code": "40468003" } ] } ], "doseNumberPositiveInt": 1, "seriesDosesPositiveInt": 10 }, { "series": "3-dose", "targetDisease": [ { "coding": [ { "system": "http://snomed.info/sct", "code": "66071002"

How to combine duplicate rows in a data frame in R [duplicate]

由 天大地大妈咪最大 提交于 2020-06-13 12:22:31
问题 This question already has answers here : Aggregate / summarize multiple variables per group (e.g. sum, mean) (8 answers) Closed 3 years ago . Given a dataframe ( my_data ) in R such as the following category Keyword1 Keyword2 Keyword3 Keyword4 Keyword5 Keyword6 Keyword7 Keyword8 123 0 1 1 0 0 0 0 1 155 1 0 0 0 1 0 1 1 144 0 0 1 0 0 0 1 1 123 1 1 0 0 0 0 1 1 I want to transform the dataframe by taking rows with category id values that already exist (e.g category 123 ) and combine them. The

How to transform HTML entities via io.Reader

由 99封情书 提交于 2020-06-12 23:54:06
问题 My Go program makes HTTP requests whose response bodies are large JSON documents whose strings encode the ampersand character & as & (presumably due to some Microsoft platform quirk?). My program needs to convert those entities back to the ampersand character in a way that is compatible with json.Decoder. An example response might look like the following: {"name":"A&B","comment":"foo&bar"} Whose corresponding object would be as below: pkg.Object{Name:"A&B", Comment:"foo&bar"} The documents

Reverse Box-Cox transformation

由 隐身守侯 提交于 2020-05-24 21:13:08
问题 I am using SciPy's boxcox function to perform a Box-Cox transformation on a continuous variable. from scipy.stats import boxcox import numpy as np y = np.random.random(100) y_box, lambda_ = ss.boxcox(y + 1) # Add 1 to be able to transform 0 values Then, I fit a statistical model to predict the values of this Box-Cox transformed variable. The model predictions are in the Box-Cox scale and I want to transform them to the original scale of the variable. from sklearn.ensemble import

elasticsearch split document ingest processor

由 自作多情 提交于 2020-05-16 13:10:46
问题 elasticsearch provides the ingest mechanism to transform documents while they are indexed. The processory can transform fields, add and remove fields from indexed documents. For the rare cases it is possible to even write your own transform plugin. I cannot however find any possibilty to produce mutiple output documents for a single input document. Is this somehow possible using the ingest module in elastic? I would like to split a single document into multiple documents. Does it always have

elasticsearch split document ingest processor

由 时光毁灭记忆、已成空白 提交于 2020-05-16 13:10:25
问题 elasticsearch provides the ingest mechanism to transform documents while they are indexed. The processory can transform fields, add and remove fields from indexed documents. For the rare cases it is possible to even write your own transform plugin. I cannot however find any possibilty to produce mutiple output documents for a single input document. Is this somehow possible using the ingest module in elastic? I would like to split a single document into multiple documents. Does it always have

Codeforces 251C Number Transformation DP, 记忆化搜索，LCM，广搜

由 前提是你 提交于 2020-03-07 08:55:21
题意及思路： https://blog.csdn.net/bossup/article/details/37076965 代码： #include <bits/stdc++.h> #define LL long long #define INF 1e18 using namespace std; int lcm(int x, int y) { return x * y / __gcd(x, y); } const int maxn = 500010; LL a, b, k; LL dp[maxn]; unordered_map<LL, bool> v; queue<pair<LL, LL> > q; LL bfs(LL x, LL y) { q.push(make_pair(x, 0)); while(!q.empty()) { pair<LL, LL> tmp = q.front(); q.pop(); if(v[tmp.first]) continue; v[tmp.first] = true; if(tmp.first == y) return tmp.second; for (int i = 2; i <= k; i++) { if(tmp.first % i != 0) { q.push(make_pair(tmp.first - tmp.first % i, tmp

convert an opencv affine matrix to CGAffineTransform

由 余生颓废 提交于 2020-02-21 05:57:14
问题 I'd like to take an affine matrix that I have from OpenCV: Mat T = getAffineTransform(src_pt, dst_pt); and then convert it into a CGAffineTransform for use in Core Graphics/Objective-C/iOS. (CGAffineTransform docs) I've tried: CGAffineTransform t = CGAffineTransformIdentity; t.a = T.at<float>(0,0); t.b = T.at<float>(0,1); t.c = T.at<float>(1,0); t.d = T.at<float>(1,1); t.tx = T.at<float>(0,2); t.ty = T.at<float>(1,2); This works fine for x and y translations, but NOT if there is any rotation

rotate 3D on X in Flutter

由 佐手、 提交于 2020-02-20 04:48:50
问题 I've been working with Flutter rotation, new Matrix4.identity() ..rotateX(degrees * 3.1415927 / 180), but, the problem, I want it to be similar to the diagram below. can I achieve a 3D-like rotation on the x-axis with Flutter? even if there is a mapping from 3D to 2D or there are alternatives that would get the same result. thanks in advance. Example image in OpenCV: How to calculate perspective transform for OpenCV from rotation angles? 回答1: thanks to this discussion, and this repo, and

rotate 3D on X in Flutter

由 可紊 提交于 2020-02-20 04:46:42
问题 I've been working with Flutter rotation, new Matrix4.identity() ..rotateX(degrees * 3.1415927 / 180), but, the problem, I want it to be similar to the diagram below. can I achieve a 3D-like rotation on the x-axis with Flutter? even if there is a mapping from 3D to 2D or there are alternatives that would get the same result. thanks in advance. Example image in OpenCV: How to calculate perspective transform for OpenCV from rotation angles? 回答1: thanks to this discussion, and this repo, and
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