I have a column of data, diagnosis codes to be exact. the problem is that when the data is imported it turns 111.0 into 111 (or any whole number). I am wondering if there is an update query I can run that will add the ".0" to the end of any value that is 3 characters long. I had a problem of it stripping a value from 008.45 to 8.45 but I figured that part out using:
UPDATE Master SET DIAGNOSIS01 = LEFT("00", 3-LEN(DIAGNOSIS01)) + DIAGNOSIS01
WHERE LEN(DIAGNOSIS01)<3 AND Len(DIAGNOSIS01)>0;
I got that from here on stackoverflow. Is there a variation of this update query I can use to add to the right if it's only 3 digits?
Additional info... formats of the values in this column include xxx.x or xxx.xx with x being a number
When it comes to sql I am very new so please treat me like I'm 3... ;)
UPDATE Master
SET Master.DIAGNOSIS01 = IIf(Len([Master].[DIAGNOSIS01])=3,[Master].[DIAGNOSIS01] & ".0",[Master].[DIAGNOSIS01]);
Related
There are 2 text boxes called #IMPORTOORARIO and #ANTICIPO.
The user writes in the first one '45,56', and in the second one '45'.
I want to cast the first string to decimal and the second one to tinyint.
No matter what I try: if the cast succeds, I end up with '45,56' casted to 4,00 and '45' to 4.
Just 4. Not 4,00.
Here is part of the store procedure I am using:
INSERT INTO TableName
VALUES
(
try_convert(decimal(6, 2),#IMPORTOORARIO),
try_convert(tinyint,#ANTICIPO)
)
I attach a screenshot to show the problem.
You will see more text boxes and table fields but the problem is always the same, just focus on #IMPORTOORARIO and #ANTICIPO.
#IMPORTOORARIO = number 3. #ANTICIPO = number 4
Info: the maximum number I am going to store in the database is decimal(9, 2).
So something like: 123456,78
So 6 numbers before the comma and 2 after the comma.
To solve the problem, I tried to use CAST, CONVERT, TRY_CONVERT, and something I did not understand with REPLACE:
Select try_convert(numeric(6, 2),replace('25,12', ',', '.'))
I have a series of values in Tableau that are long strings intermixed with letters and numbers. I am unable to control the data output, but would like to parse the names from these strings. They follow the following format:
Potato 1TByte 4.5 NFA
Board 256GByte 553 NCA
Launch 4 512GByte 4.5 NFA
Launch 4S 512GByte 4.5 NCA
From each of these, I am attempting to capture the following:
"Potato"
"Board"
"Launch 4"
"Launch 4S"
Each string follows the same format: the name, followed by size, followed by some extra information we don't really care about.
I've tried to put together some text parsing strings, but am coming up short, and am still trying to learn regular expressions.
The Tableau calculated field I was trying to work with was something like the following:
LEFT([String], FIND([String], "Byte") - 2)
The issue is that the text and numbers preceding Byte can be anywhere from 4 to 2 characters and I need a way to identify the length of that.
Any help would be greatly appreciated!
One option which uses a regex replacement:
REGEXP_REPLACE('Launch 4 512GByte 4.5 NFA', ' \d+[A-Z]Byte .*$', '')
This strips off everything from the Byte term to the right, leaving us with only the product name.
You could try the following - this seems to work - Screenshot of Tableau output. Find below the formulas for the various derived columns you see in the screenshot (Your source column is called [Name])
Step1 = LEFT([Name],FIND([Name],"Byte")-1)
Step2 = LEN([Step1])-LEN(REPLACE([Step1]," ",""))
Step3 = FINDNTH([Step1]," ",[Step2])
Step4 = LEFT([Step1],[Step3]-1)
And of course you can nest all these in a single calculated field - kept them as separate columns for easier understanding
I have a dataset in which I want to keep row just after a floating value row and remove other rows.
For eg, a column of the dataframe looks like this:
17.3
Hi Hello
Pranjal
17.1
[aasd]How are you
I am fine[:"]
Live Free
So in this I want to preserve:
Hi Hello
[aasd]How are you
and remove the rest. I tried it with the following code, but an error showed up saying "unexpected character after line continuation character". Also I don't know if this code will solve my purpose
Dropping extra rows
for ind in data.index:
if re.search((([1-9][0-9]*\.?[0-9]*)|(\.[0-9]+))([Ee][+-]?[0-9]+)?, ind):
ind+=1
else:
data.drop(ind)
your regex has to be a string, you can't just write it like that.
re.search((('[1-9][0-9]*\.?[0-9]*)|(\.[0-9]+))([Ee][+-]?[0-9]+)?', ind):
edit - but actually i think the rest of your code is wrong too.
what you really want is something more like this:
import pandas as pd
l = ['17.3',
'Hi Hello',
'Pranjal',
'17.1',
'[aasd]How are you',
'I am fine[:"]',
'Live Free']
data = pd.DataFrame(l, columns=['col'])
data[data.col.str.match('\d+\.\d*').shift(1) == True]
logic:
if you have a dataframe with a column that is all string type (won't work for mixed type decimal and string you can find the decimal / int entries with the regex '\d+.?\d*'. If you shift this mask by one it gives you the entries after the matches. use that to select the rows you want in your dataframe.
I am using HiveQL to work with millions of rows of domain name text data stored in HDFS. The following is a hand-selected subset to illustrate lexical diversity. There are duplicate entries.
dnsvm.mgmtsubnet.mgmtvcn.oraclevcn.com.
mgmtsubnet.mgmtvcn.oraclevcn.com.
asdf.mgmtvcn.oraclevcn.com.
dnsvm.mgmtsubnet.mgmtvcn.oraclevcn.com.
localhost.
a.localhost.
img.pulsemgr.com.
36.136.154.156.in-addr.arpa.
accounts.spotify.com.
_dmarc.ixia-devops.com.
&eventtype=close&reason=4&duration=35.
&eventtype=close&reason=3&duration=10336.
I am trying to get a count of # of rows based on the last two levels of the domain, where sometimes the 2nd level is absent (i.e. localhost.). For example:
domain_root count
oraclevcn.com. 4
localhost. 1
a.localhost. 1
pulsemgr.com. 1
in-addr.arpa. 1
spotify.com. 1
ixia-devops.com 1
It would be nice to also see how to filter out domains 2nd level is absent.
I am not sure where to start. I have seen use of the SPLIT() function, but that may not be robust since there could be many levels to a domain name, for example: a.b.c.d.e.f.g.h.i etc.
Any ideas are implementations are appreciated.
Below would be the query with regexp_extract.
select domain_root, count(*) from (select regexp_extract('dnsvm.mgmtsubnet.mgmtvcn.oraclevcn.com.', '[A-Za-z0-9-]+\.[A-Za-z0-9-]+\.$', 0) as domain_root from table) A group by A.domain_root -- replace first argument with column name
regex will extract for domain root with Alphanumeric and special character '-'
hope this helps.
I'm having some trouble with displaying numbers in apex, but only when i fill them in through code. When numbers are fetched through an automated row fetch, they're fine!
Leading Zero
For example, i have a report where a user can click a link, which runs a javascript function. There i get detailed values for that record through an application process. The returned values are in JSON. Several fields are number fields.
My response looks as follows (fe):
{"AVAILABLE_STOCK": "15818", "WEIGHT": ".001", "VOLUME": ".00009", "BASIC_PRICE": ".06", "COST_PRICE": ".01"}
Already the numbers here 'not correct': values less than one do not have a zero before the .
I kind of hoped that the format mask on the items would catch this. If i specify FM999G990D000 for the item weight, i'd expect it to show '0.001' .
But okay, i suppose it only works that way when it comes through session state, and not when you set an item value through $("#").val() ?
Where do i go wrong? Is my only option to change my select in the app process?
Now:
SELECT '"AVAILABLE_STOCK": "' || AVAILABLE_STOCK ||'", '||
'"WEIGHT": "' || WEIGHT ||'", '||
'"VOLUME": "' || VOLUME ||'", '||
'"BASIC_PRICE": "' || BASIC_PRICE ||'", '||
Do i need to provide my numberfields a to_char with the format mask here (to_char(available_stock, 'FM999G990D000')) ?
Right now i need to put my numbers between quotes ofcourse, or i get invalid json when i parse it.
Trailing Zero
I have an application process on a page on the after header point, right after an automated row fetch. Several fields are calculated here (totals). The variables used are all specified as number(10, 2). All values are correct and rounded to 2 values after the comma. My format masks on the items are also specified as FM999G999G990D00.
However, when one of the calculated values has only one meaningfull value after the comma, the trailing zeros get dropped. Instead of '987.50', it is displayed as '987.5'.
So, i have a number variable, and assign it like this: :P12_NDB_TOTAL_INCL := v_totI;
Would i need to convert my numbers here too, with format mask?
What am i doing wrong, or what am i missing?
If you aren't doing math on it and are more concerned with formatting, I suggest treating it as a varchar/string instead of as a number wherever you can.