I need help formatting 'List Annual' and 'Discounted' read only values to be formatted to currency format (example: 123,456,000 OR 12,345).
I have tried the following, but it does not work
annual.format.picture.value = "999,999,999"; // Set the field's display picture format.
Please help.
Use
annual.format.picture.value = "num{z,zzz,zz9.zz}";
Related
I appreciate that what I'm trying to do will sound silly, but please bear with me. I want to insert an existing image (a PNG) of a table into an RMarkdown document that will be turned into a pdf. Is there any way I can do this and have the image treated as a table for numbering purposes? That is, obviously I could do
but the problem is that it will be numbered as e.g. Figure X, not Table Y. I would like it to be named/numbered as a table.
Thank you for any advice.
Looks like I got to a way to do it with kable with some inspiration...this still has two horizontal lines but that's ok for the moment:
```{r echo=F, warning=F}
temp.df = data.frame(image="")
temp.mat <- as.matrix(temp.df)
colnames(temp.mat) <- NULL
knitr::kable(temp.mat, caption="This is my caption")
```
Edit: as suggested by #HoneyBuddha, when using Bookdown, you must add the flag format="pandoc", i.e. knitr::kable(temp.mat, caption="This is my caption", format="pandoc")
So I've looked through documentation and previous answers on here, but can't seem to figure this out.
I have a STRING that represents a date. A normal output looks as such:
2018-09-19 17:47:12
If I do this, I get it to return in this format 2018-09-19 17:47:12.000:
SELECT
date_parse(click_time,'%Y-%m-%d %H:%i:%s') click_time
FROM
table.abc
But that's not the output I need. I was just trying to show that I'm close, but clearly missing something. When I change click_time to date_parse(click_time,'%Y-%m-%d'), it sends back INVALID_FUNCTION_ARGUMENT: Invalid format: "2018-09-19 17:47:12" is malformed at " 17:47:12"
So there's clearly something I'm not doing correctly to get it to simply return 2018-09-19.
date_parse converts a string to a timestamp. As per the documentation, date_parse does this:
date_parse(string, format) → timestamp
It parses a string to a timestamp using the supplied format.
So for your use case, you need to do the following:
cast(date_parse(click_time,'%Y-%m-%d %H:%i:%s')) as date )
For your further reference, you can go to the below link for prestodb online documentation https://prestodb.github.io/docs/current/functions/datetime.html
I am looking for guidance regarding a return result FORMAT from a csv file. The code I have to date partially ahcieves my objective but despite significant effort researching through this and many other sites/forums I cannot resolve the final step. I have also posed this question on gis.stackexchange but was redirected to this forum with the comment "Questions relating to general Information Technology, with no clear GIS component, are off-topic here, but can be researched/asked at Stack Overflow".
My successful piece of python code that reads selected data from a csv and returns it in dict format is below ; (Yes I know the reason it returns as type dict is due to the format my code is calling!!! and that is the crux of the problem)
import arcpy, csv
Att_Dict ={}
with open ("C:/Data/Code/Python/Library/Peter/123.csv") as f:
reader = csv.DictReader(f)
for row in reader:
if row['Status']=='Keep':
Att_Dict.update({row['book_id']:row['book_ref']})
print Att_Dict
Att_Dict = {'7643': '7625', '9644': '2289', '4406': '4443', '7588': '9681', '2252': '7947'}
For the next part of my code to run I need the result above but in the format of ; (this is part of a very lengthy code but the only show stopper is the returned format so little value in posting the other 200 or so lines)
Att_Dict = [[7643, 7625], [9644, 2289], [4406, 4443], [7588, 9681], [2252, 7947]]
Although I have experimented endlessly and can achieve this by reverting to csv.Reader rather than csv.DictReader, I then lose the ability to 'weed out' rows where column 'Status' has value 'Keep' in them and that is a requirement for the task at hand.
My sledgehammer approach to date has been to use 'search and replace' within Idle to amend the returned set to the meet the other requirement but Im sure it can be done programatically rather than manually. Similar but not exact to https://docs.python.org/2/library/index.html, plus my startout question at Returning values from multiple CSV columns to Python dictionary? and Using Python's csv.dictreader to search for specific key to then print its value plus a multitude of csv based questions at geonet.esri.
(Using Win 7, ArcGIS 10.2, Python 2.7.5)
Try this
Att_Dict = {'7643': '7625', '9644': '2289', '4406': '4443', '7588': '9681', '2252': '7947'}
Att_List = []
for key, value in Att_Dict.items():
Att_List.append([int(key), int(value)])
print Att_List
Out: [[7643, 7625], [9644, 2289], [4406, 4443], [7588, 9681], [2252, 7947]]
I need to check whether the given input value of date is valid or not in python. I normally used datetime.strptime is to check for date. Am getting Value Error doesn't match format when i given the input value date '06-06-'. It's wrong only but i want to display the output like invalid.
if (datetime.strptime(s,'%m-%d-%y')):
print "valid"
else:
print "Invalid"
1 . s = '06-06-15'
when i given the input value like above, it display the correct output value "Valid"
s = '06-06-'
when i given the input value like above, am getting error like time data '06-13' does not match format '%m-%d-%y'. But i want to display the output "Invalid"
Please anyone suggest me to do that. Thanks in advance.
This is just how it works.
ValueError is raised if the date_string and format can’t be parsed by
time.strptime()
Just turn it to
datetime.strptime(s,'%m-%d-%y'):
print "valid"
except ValueError:
print "Invalid"
I've seen copy & paste converters to MediaWiki or HTML format. But I could not find one that converts to the Trac Wiki format (WikiFormattting) which uses pipes to separate cells, such as:
||Cell 1||Cell 2||Cell 3||
||Cell 4||Cell 5||Cell 6||
You could save your excel sheet as a CSV file. Then from a command prompt (assuming you are running Windows XP or newer) type this command:
for /f "tokens=1,2,3 delims=," %a in (mycsvfile.csv) do ((echo ^|^|%a^|^|%b^|^|%c^|^|) >> mywikifile.txt)
The number of tokens depends on how many columns you have. You could do up to 26 columns this way in a single pass by increasing the number of tokens and adding the corresponding number of variable names %d, %e, etc.
I made a jsFiddle to do just this, just put your CSV test in the HTML box and run the script. The content that you would paste into a TracWiki page would be in the Result box then.
In case something happens to the jsFiddle, here is the JavaScript I used (I probably didn't need to use jQuery, but it was faster for me then to have to think of the non-jQuery way to do it:
var csv = $('body').html().trim();
csv = csv.replace(/,/g, "||");
csv = csv.replace(/$/gm, "||<br />");
csv = csv.replace(/^/gm, "||");
// set to false if you don't want empty cells
if (true) {
while (csv.indexOf("||||") > -1) {
csv = csv.replace(/\|\|\|\|/g, "|| ||");
}
}
$('body').html(csv);
My port of Shan Carter's Mr. Data Converter now supports Wiki in the format you specified. You can copy & paste directly from Excel or from a CSV file.
http://thdoan.github.io/mr-data-converter/
UPDATE: I've added Trac-specific formatting under the "Trac" option.