I would like to know all stock symbols that are no longer being traded for the last 1 year. How can I do this using AFL code via Amibroker's Auto Analysis/Scan tool?
Explore on 1 recent bar:
Gap=252;
Filter=Now(3)-DateNum()>=Gap;
Related
I am working on a project using the Sentinel 1 GRD product in Google Earth Engine and I have found a couple examples of missing data, apparently in swath overlaps in the descending orbit. This is not the issue discussed here and explained on the GEE developers forum. It is a much larger gap and does not appear to be the product of the terrain correction as explained for that other issue.
This gap seems to persist regardless of year changes in the date range or polarization. The gap is resolved by changing the orbit filter param from 'DESCENDING' to 'ASCENDING', presumably because of the different swaths or by increasing the date range. I get that increasing the date range increases revisits and thus coverage but is this then just a byproduct of the orbital geometry? ie it takes more than the standard temporal repeat to image that area? I am just trying to understand where this data gap is coming from.
Code example:
var geometry = ee.Geometry.Polygon(
[[[-123.79472413785096, 46.20720039434629],
[-123.79472413785096, 42.40398120362418],
[-117.19194093472596, 42.40398120362418],
[-117.19194093472596, 46.20720039434629]]], null, false)
var filtered = ee.ImageCollection('COPERNICUS/S1_GRD').filterDate('2019-01-01','2019-04-30')
.filterBounds(geometry)
.filter(ee.Filter.eq('orbitProperties_pass', 'DESCENDING'))
.filter(ee.Filter.listContains('transmitterReceiverPolarisation', 'VH'))
.filter(ee.Filter.listContains('transmitterReceiverPolarisation', 'VV'))
.filter(ee.Filter.eq('instrumentMode', 'IW'))
.select(["VV","VH"])
print(filtered)
var filtered_mean = filtered.mean()
print(filtered_mean)
Map.addLayer(filtered_mean.select('VH'),{min:-25,max:1},'filtered')
You can view an example here: https://code.earthengine.google.com/26556660c352fb25b98ac80667298959
I have columns taken from excel as a dataframe, the columns are as follows:
HolidayTourProvider|Packages|Meals|Accommodation|LocalTravelVehicle|Cancellationfee
Holiday Tour Provider has a couple of company names
Packages, the features provided in each package are mostly the same like
Meals,Accommodation etc... even though one company may call it "Saver", others may call it "Budget". (each of column mostly follow Yes/No, except Local travel vehicle are again car names like Ford Taurus,jeep cherokee etc..
Cancellation amount is integers)
I need to write a function like
match(HolidayTP,Package)
where the user can give input like
match(AdventureLife, Luxury)
then I need to return all the packages that have similar features with Luxury by other Holiday Tour Providers, no matter what name they give the package like 'Semi Lux', 'Comfort' etc...
I want to give a counter for every match and display all the packages that exceed the counter by 3 or 4.
This is my first python code. I am stuck here.
fb is the total df I exported to
def mapHol(HTP, PACKAGE):
mfb = (fb['HTP']== HTP)&(fb['package']== package)
B = fb[mfb]
for i in fb[i]:
for j in B[j]:
if fb[i]==B[j]:
count+=1
I dont know how to proceed, please help me this is my first major project, I started on my own.
I am getting a correct answer on my compiler, but I am getting a run time error on hacker rank. Solution for stock maximize problem. I am new at python, therefore I am having difficulty in removing error.Inputs are of this form
1 //no of test cases
3 //no of stocks
5 2 3 //cost of stocks
I think error is in taking input as 5 3 2 (continuous). If I am taking as
5
3
2
(one on each line)then it is working fine. How can I fix this problem?
t=int(input())
list=[]
while t>0:
n=int(input())
list.clear()
for i in range(0,n):
list.append(int(input()))
sum=0
print('hello')
max=list[n-1]
for i in range(n-2,-1,-1):
if(list[i]<max):
sum=sum+(max-list[i])
else:
max=list[i]
print(sum)
t=t-1
You can read the //cost of stocks like so in Python3
stockcost=[int(k) for k in input().split()]
This will create a list of stock prices
Instead of trying to read in three lines of stock costs when there is actually only one line of three space-separated costs, you need to read in that one line and split it into a list of integers, for example like this (since it looks like you're using Python 3):
stocks = list(map(int, input().split(" ")))
With your example, this would give you the list [5, 3, 2].
I am new to integration and MuleSoft so I need your help. I have a flat file with different invoice line items per salesID, like this:
SalesOrderID OrderQty UnitPrice
43659 70 2024.994
43659 70 2024.994
43660 1 419.4589
43660 1 874.794
43661 1 809.76
I want to insert total invoice amount and quantity in another CSV file using Mule, something like this:
SalesOrderID OrderQty UnitPrice
43659 140 4049.988
43660 2 1294.4589
43661 1 809.76
I know how to do this in informatica,but im trying to figure out a way to do this in MuleSoft. How can I sum up all the line items and group them by SalesOrderID? Any help/clue will be really appreciated.
Thanks.
There are a number of ways to do this, let me explain my personal favourite assuming you are using Mule community edition.
Use the superb library: SuperCSV, it will allow you not only to parse the data (including those dot numbers) but also validate it and give back an exact report on why the file is broken in case it is.
This could be done in a transformer that transform the inbound stream and return either a map of maps (or even better a iterator that handles the whole thing but this is more difficult) or a custom exception with the error report.
Given that this requirement is one that faces Mule developers even today, it's useful to see a solution based on the Mule 4.x runtime and Dataweave 2.x.
If the data came from a file or is otherwise a monolithic stream of text, use the splitBy() function to get an array of text lines.
payload splitBy '\n'
remove the first line as the headers should not be calculated
payload[1 to -1] // this is my favorite way to do it
Now use the reduce() function to iterate over each of the lines in turn, updating the accumulator each time to account for quantity and price.
Hopefully that helps
I am building a web app, which uses Yahoo Weather API to provide weather information, based on a ZIP code, provided by the users.
I know that in order to obtain this data for certain number of days I have to add it as a parameter in my request, like so:
http://weather.yahooapis.com/forecastrss?p=33035&u=c&d=3
Which gives this result:
<channel>
....
<yweather:location city="Homestead" region="FL" country="US"/>
<yweather:units temperature="C" distance="km" pressure="mb" speed="km/h"/>
<yweather:wind chill="19" direction="90" speed="11.27"/>
<yweather:atmosphere humidity="78" visibility="16.09" pressure="1021" rising="1"/>
<yweather:astronomy sunrise="7:12 am" sunset="7:36 pm"/>
...
<item>
...
<yweather:forecast day="Wed" date="2 Apr 2014" low="19" high="28" text="Mostly Sunny" code="34"/>
<yweather:forecast day="Thu" date="3 Apr 2014" low="21" high="29" text="Partly Cloudy" code="30"/>
<yweather:forecast day="Fri" date="4 Apr 2014" low="20" high="28" text="Partly Cloudy" code="30"/>
<guid isPermaLink="false">USFL0208_2014_04_04_7_00_EDT</guid>
</item>
</channel>
However I need to be able to get the humidity level for EVERY day in the forecast and not just the current one. I've tried to find solution here and also read the Yahoo API documentation, but it's really a short one.
I've also tried http://www.myweather2.com/ and http://developer.worldweatheronline.com/, but they have the same issue with humidity - it's shown only for the current day and stripped from the whole forecast.
I'll keep trying with other free Weather APIs, but if you can help here I'd be very grateful.
I've spent some time researching for better APIs than the Yahoo! Weather API and I found something, that works for me, so I've decided to share the info, in case anyone else bump into this some day.
Version 2 of the Forecast API looks like a nice solution, because it provides detailed information, more specifically the humidity index for each day in the forecast, which was what I was looking for in the first place.
There are also number of libraries for this API (languages include PHP, Node.js, Python, Perl and others).
It works with longitude & latitude as in this example
https://api.forecast.io/forecast/APIKEY/LATITUDE,LONGITUDE,TIME
and of course one needs to register for an API key.
The TIME parameter is optional, the temperature uses Fahrenheit metrics by default, but this can be changed with additional ?units=ca parameter.
One disadvantage is that you get only a 1,000 free calls per day, which probably won't be suitable for big applications.
If you know a better answer to the original question, I'll be very happy to hear it. Until then I'll use this solution, without going into much details:
// The default result from a Forecast API call is in JSON,
// so decode it to an object for easier access
$fcObj = json_decode($jsonResult);
if(!empty($fcObj->daily->data[0]->humidity)) {
// get humidity value in %
$humidty = $fcObj->daily->data[0]->humidity * 100;
}