My question is very simple.
library(fpp)
ts <- ausbeer # seasonal with period 4
f.seasonal <-snaive(ts, h = 20)
I would like to see what the beer production is in the third quarter of 2010. I can do
f.seasonal$mean
It returns the table:
Qtr1 Qtr2 Qtr3 Qtr4
2008 473
2009 420 390 410 473
2010 420 390 410 473
2011 420 390 410 473
2012 420 390 410 473
2013 420 390 410
Obviously, I can see the answer in the table. Is there a snippet of code to retain the predicted value easier from forecast objects?
fc <- window(f.seasonal$mean, start=c(2010,3), end=c(2010,3))
Related
I have a data source with daily sales per product.
I want to create a field that calculates the average daily sales for the 7 last days, for each product and day (e.g. on day 10 for product A, it will give me the average sales for product A on days 3 - 9; on Day 15 for product B, I'll see the average sales of B on days 8 - 14).
Is this possible?
Example data (I have the first 3 columns. need to generate the fourth)
Date Product Sales 7-Day Average
1/11 A 983 201
2/11 A 650 983
3/11 A 328 817
4/11 A 728 654
5/11 A 246 672
6/11 A 613 587
7/11 A 575 591
8/11 A 601 589
9/11 A 462 534
10/11 A 979 508
11/11 A 148 601
12/11 A 238 518
13/11 A 53 517
14/11 A 500 437
15/11 A 684 426
16/11 A 261 438
17/11 A 69 409
18/11 A 159 279
19/11 A 964 281
20/11 A 429 384
21/11 A 731 438
1/11 B 790 471
2/11 B 265 486
3/11 B 94 487
4/11 B 66 490
5/11 B 124 477
6/11 B 555 357
7/11 B 190 375
8/11 B 232 298
9/11 B 747 218
10/11 B 557 287
11/11 B 432 353
12/11 B 526 405
13/11 B 690 463
14/11 B 350 482
15/11 B 512 505
16/11 B 273 545
17/11 B 679 477
18/11 B 164 495
19/11 B 799 456
20/11 B 749 495
21/11 B 391 504
Haven't really tried anything. Couldn't figure out how to do get started with this)
This may not be the super perfect solution but it does give your expected result in a crude way.
Cross-join the same data source first as shown in the screenshot
Use the calculated field to get the last 7 day average
(CASE WHEN Date (Table 2) BETWEEN DATETIME_SUB(Date (Table 1), INTERVAL 7 DAY) AND DATETIME_SUB(Date (Table 1), INTERVAL 1 DAY) THEN Sales (Table 2) ELSE 0 END)/7
-
The function iscntrl is standardized. Unfortuneately on C99 we have:
The iscntrl function tests for any control character
Considering the prototype which is int iscntrl(int c); I am expecting something like true for 0..31 and perhaps 127 too. However in the following:
#include <stdio.h>
#include <ctype.h>
int main()
{
int i;
printf("The ASCII value of all control characters are ");
for (i=0; i<=1024; ++i)
{
if (iscntrl(i)!=0)
printf("%d ", i);
}
return 0;
}
I get this output:
The ASCII value of all control characters are 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14
15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 127 264 288 308 310 320 334
336 346 348 372 374 390 398 404 406 412 420 428 436 444 452 458 460 466 468 474
476 484 492 500 506 512 518 530 536 542 638 644 656 662 668 682 688 694 700 706
708 714 716 718 760 774 780 782 788 798 826 834 836 846 854 856 864 866 874 876
882 888 890 892 898 900 908 962 968 970 988 994 1000
So I am wondering how this function is implemented behind the scene. I tried to search on the standard library, but the answer is not obvious.
https://github.com/bminor/glibc/search?q=iscntrl&unscoped_q=iscntrl
Any ideas?
You are invoking undefined behavior by passing improper values to iscntrl().
Per 7.4 Character handling <ctype.h>, paragraph 1:
The header <ctype.h> declares several functions useful for classifying and mapping characters. In all cases the argument is an int, the value of which shall be representable as an unsigned char or shall equal the value of the macro EOF. If the argument has any other value, the behavior is undefined.
I want to transform some field's data in specific rows in csv file.I tried the following .
1).Using csv marshaling and unmarshaling I achieved it ,but the output CSV is not coming in proper order even though I sent list of maps (i.e List) .
following is my program
from("file:E://camelinput//?noop=true")
.unmarshal(csv)
.convertBodyTo(List.class)
.process(new Processor() {
#Override
public void process(Exchange msg) throws Exception {
List<List<String>> data = (List<List<String>>) msg.getIn().getBody();
List<Map<String,Object>> newdata=new ArrayList<Map<String,Object>>();
Map<String,Object> map=null;
for (List<String> line : data) {
System.out.println(line.size());
map=new HashMap<String,Object>();
if("1502873".equals(line.get(3))){
line.set(18, "Y");
}
// newdata.add(line);
int count=0;
for(Object field:line){
// System.out.println("line.get(count) "+line.get(count));
map.put(String.valueOf(count),field);
count++;
}
newdata.add(map);
}
msg.getIn().setBody(newdata);
}
})
.marshal().csv().convertBodyTo(List.class)
.to("file:E://camelout").end();
2)And again I tried Using .split(body()) and trying to process each row(i.e with out using Marshaling I am trying),but it is taking very huge time and getting terminated with some Interrupted exception.
following is the code
from("file:E://camelinput//?noop=true")
.unmarshal(csv)
.convertBodyTo(List.class)
.split(body())
.process(new Processor() {
#Override
public void process(Exchange msg) throws Exception {
List<String> rec= new ArrayList<String>();
if("1502873".equals(rec.get(3))){
rec.set(18, "Y");
}
String dt=rec.toString().trim().replace("[","").replace("]", "");
msg.getIn().setBody(dt, String.class);
}
})
.to("file:E://camelout").end();
following is my sample Csv
25 STANDARD N 1435635 415 1087 15904 7 null 36 Cross Mechanical Pencil, Lead and Eraser, 0.5 mm 2 23162 116599 7/7/2015 15:45 N 828
25 STANDARD N 1435635 415 1087 15905 8 null 36 Jumbo Ballpoint and Selectip Refill, Medium, Black 4 23163 116599 7/7/2015 15:45 N 829
25 STANDARD N 1435635 415 1087 15906 1 3487 null 598 Copier Toner, Cannon 220 23164 116599 7/7/2015 15:45 N 830
25 STANDARD N 1435635 415 1087 15907 2 3495 null 823 Envelopes 27 23165 116599 7/7/2015 15:45 N 831
25 STANDARD N 1435635 415 1087 15908 3 3513 null 789 Legal Pads, 8 1/2 x 11 3/4" White" 30 23166 116599 N 832
25 STANDARD N 1435635 415 1087 15909 4 3577 null 791 Paper Clips 5 23167 116599 7/7/2015 15:45 N 833
31 STANDARD N 1574437 415 1087 15910 5 null 36 Clic Stic Pen, Fine, Black 0.72 23168 116599 7/7/2015 15:45 N 834
31 STANDARD N 1574437 557 1233 15911 6 null 36 Laser Cards, 50 Note Cards/Envelopes, 4-1/4 inch x 5-1/2 inch, White 21.58 23169 116599 7/7/2015 15:45 N 835
31 STANDARD N 1574437 578 1275 15912 1 201 null 32 Keyboard - 101 Key 20.82 23170 116599 7/7/2015 15:45 N 836
25 STANDARD N 1574437 147 2033 15913 1 225 null 30 Monitor - 19" 225.39 23171 116599 7/7/2015 15:45 N 837
1314 STANDARD N 1502873 22 2199 16287 1 628 null 1 Envoy Deluxe Laptop 822.87 23545 116599 7/7/2015 15:45 N 838
1314 STANDARD N 1502873 22 2199 16288 1 151 null 91 Envoy Standard Laptop 1283.44 23546 116599 7/7/2015 15:45 N 839
7653 STANDARD N 1502873 22 2199 16289 2 606 null 1 Battery - Extended Life 28 23547 116599 7/7/2015 15:45 N 840
7652 STANDARD N 1502873 21 459 16290 1 2157 null 1 Envoy Laptop - Rugged 1525.02 23548 116599 7/7/2015 15:45 N 841
1314 STANDARD N 1502873 3 1594 16291 1 251 null 32 RAM - 256MB 51.25 23549 116599 7/7/2015 15:45 N 842
7654 STANDARD N 1502873 22 2199 16292 1 606 null 1 Battery - Extended Life 28 23550 116599 7/7/2015 15:45 N 843
7652 STANDARD N 1502873 21 459 16293 1 247 null 30 Monitor - 17" 225.39 23551 116599 7/7/2015 15:45 N 844
1704 STANDARD N 1502873 41 2200 16294 2 225 null 30 Monitor - 19" 225.39 23552 116599 7/7/2015 15:45 N 845
7658 STANDARD N 1502873 21 460 16295 1 201 null 32 Keyboard - 101 Key 20.82 23553 116599 7/7/2015 15:45 N 846
I have large Csv files which contains hundreds of thousands of rows.
I think your solution 1 might be overly complex if you only want to alter values in csv and output it it back in the same order. Just edit fields in the original List and marshall it back to file.
I've made here assumption that your data was actually delimited by tabs rather than random amount of spaces in your example but I've included the CsvDataFormat that I used. Code uses camel-core and camel-csv version 2.15.3.
public void configure() {
CsvDataFormat csv = new CsvDataFormat();
csv.setDelimiter('\t'); // Tabs
csv.setQuoteDisabled(true); // Otherwise single quotes will be doubled.
from("file://src/data?fileName=data.csv&noop=true&delay=15m")
.unmarshal(csv)
.convertBodyTo(List.class)
.process(new Processor() {
#Override
public void process(Exchange msg) throws Exception {
List<List<String>> data = (List<List<String>>) msg.getIn().getBody();
for (List<String> line : data) {
// Checks if column two contains text STANDARD
// and alters its value to DELUXE.
if ("STANDARD".equals(line.get(1))) {
System.out.println("Original:" + line);
line.set(1, "DELUXE");
System.out.println("After: " + line);
}
}
}
}).marshal(csv).to("file://src/data?fileName=out.csv")
.log("done.").end();
}
The problem is that you are processing single line in single thread. If parallel processing correct for you, try to use ThreadPool.
<camel:camelContext id="camelContext">
.....
<camel:threadPoolProfile id="customThreadPoolProfile"
defaultProfile="true"
poolSize="{{split.thread.pool.size}}"
maxPoolSize="{{split.thread.max.pool.size}}"
maxQueueSize="{{split.thread.max.queue.size}}">
</camel:threadPoolProfile>
</camel:camelContext>
And upgrade split
.split(body().tokenize("\n"))
.streaming()
.parallelProcessing()
.executorServiceRef("customThreadPoolProfile")
.....
.end()
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I am confused why my recursive quicksort function isn't working.
Here is the original function call:
qSort(quickArr,0,inCount-1,&qSwapCount);
where inCount-1 is the position of the final array element
Here is the recursive quicksort function:
void qSort(int *qArr, int left, int right, int *qCount)
{
if(left<right)
{
int pivotIndex=(left+right)/2;
int pivot=partition(qArr, left, right, pivotIndex, qCount);
qSort(qArr, left, pivot-1, qCount);
qSort(qArr, pivot+1,right, qCount);
}
}
And here is the pivot function
int partition(int *qArr, int left, int right, int pivot, int *qCount)
{
int i;
int pivotValue=qArr[pivot];
int index=left;
swap(&qArr[pivot],&qArr[right]);
(*qCount)++;
for(i=left;i<right;i++);
{
if (qArr[i]<pivotValue)
{
swap(&qArr[i],&qArr[index]);
(*qCount)++;
index++;
}
}
swap(&qArr[index],&qArr[right]);
return index;
}
The sort must work in place, following closely to the pseudo-code provided on:
http://en.wikipedia.org/wiki/Quicksort
Thanks for your help!
Here is my output:
190 506 115 471 168 229 851 497 728 549 33 435 214 439 822 500 797 692 44 731 222 613 550 669 556 978 756 402 751 357 102 393 298 604 706 686 899 997 268 758 684 147 151 814 262 310 959 82 234 119 976 13 709 27 989 375 150 639 65 552 252 542 925 637 273 2 655 827 584 418 163 871 485 982 331 810 894 201 620 123 853 231 870 335 774 546 775 351 116 73
Obviously unsorted still :-D
You have a semicolon at the end of your for loop .. that loop body is only executed once.
for(i=left;i<right;i++);
I am using Sybase SQL.
I have two tables.
Table A:
Column1_A:
100
501
504
810
810
950
955
955
Table B:
Column1_B:
100
250
503
810
807
949
950
955
955
I want to achieve the following:
Column1_A Column1_B
100 NULL
501 250
504 503
810 503
810 503
950 949
955 950
955 950
So, basically I want to align the Column1_B from Table B to Column1_A from Table A so that maximum of Column1_B is less than Column1_A for each row. It should give NULL if there is no such element in Table B
The values in the Column1_A or Column1_B are for illustration only. The real values are like 1000, 1500, 2504, and they not necessarily the values in Column1_B are Column1_A - 1.
Edit:
I modified the data so that logic can be generalized. I am using Sybase SQL.
Sorry but it's not clear for me what you want to obtain. But final result that you presented could be obtained by:
SELECT Column1_A, Column1_B FROM A
LEFT JOIN B ON Column1_A = Column1_B -1
Edit.
You might try a correlated subquery then:
SELECT Column1_A a, (SELECT MAX(Column1_B) FROM B where Column1_B < a) FROM A