Is there a coalesce-like function in Excel?
=INDEX(B2:D2,MATCH(FALSE,ISBLANK(B2:D2),FALSE))
This is an Array Formula. After entering the formula, press CTRL + Shift + Enter to have Excel evaluate it as an Array Formula. This returns the first nonblank value of the given range of cells. For your example, the formula is entered in the column with the header "a"
A B C D
1 x x y z
2 y y
3 z z
Fill a cell with the first non-empty entry in a set of columns (from left to right)
Use the AGGREGATE¹ function to find the first non-blank cell and pass that back into an INDEX function.
The standard formula in A2 is,
=INDEX($B2:$Z2, AGGREGATE(15, 6, COLUMN(A:Z)/SIGN(LEN($B2:$Z2)), 1))
Fill down as necessary.
¹ The AGGREGATE function was introduced with Excel 2010. It is not available in earlier versions.
Your array formula should work as any of these,
=INDEX(B2:D2,MATCH(1, SIGN(LEN(B2:D2)), 0))
=INDEX(B2:D2,MATCH(0, --ISBLANK(B2:D2), 0))
=INDEX(B2:D2,MATCH(FALSE, ISBLANK(B2:D2), 0))
Array formulas need to be finalized with Ctrl+Shift+Enter↵. Once entered into the first cell correctly, they can be filled or copied down or right just like any other formula.
ISNULL/COALESCE counterpart for values that are not NULL
Perhaps there you can use NULLIF function, for example:
SELECT ISNULL(NULLIF(dbo.GetFirstSsnInFromSsnOut(RMA.IMEI), 'N/A'), RMA.IMEI) AS [IMEI to credit]
, OtherColumns
FROM dbo.TableName;
How can I perform COALESCE in power query?
There are a couple formulas you can use when adding a custom column to the table (accessible from the Transform ribbon tab). Here's one:
if [Q4] <> null then [Q4] else if [Q3] <> null then [Q3] else if [Q2] <> null then [Q2] else [Q1]
If you don't want to write so many if statements, you can add the columns to a list and filter out the null values:
List.Last(List.Select({[Q1], [Q2], [Q3], [Q4]}, each _ <> null))
Is there a similar function to COALESCE for empty string in AS400
You can use NULLIF()
:
SELECT COALESCE(NULLIF(value, ''), 'M')
FROM [My Table]
Coalesce values from 2 columns into a single column in a pandas dataframe
use combine_first():
In [16]: df = pd.DataFrame(np.random.randint(0, 10, size=(10, 2)), columns=list('ab'))
In [17]: df.loc[::2, 'a'] = np.nan
In [18]: df
Out[18]:
a b
0 NaN 0
1 5.0 5
2 NaN 8
3 2.0 8
4 NaN 3
5 9.0 4
6 NaN 7
7 2.0 0
8 NaN 6
9 2.0 5
In [19]: df['c'] = df.a.combine_first(df.b)
In [20]: df
Out[20]:
a b c
0 NaN 0 0.0
1 5.0 5 5.0
2 NaN 8 8.0
3 2.0 8 2.0
4 NaN 3 3.0
5 9.0 4 9.0
6 NaN 7 7.0
7 2.0 0 2.0
8 NaN 6 6.0
9 2.0 5 2.0
SELECT and SELECT COALESCE
Have you tried
SELECT OFS_ID,COALESCE(FINAL_TOTAL, INITIAL_TOTAL, CDSI_TOTAL, JCE_TOTAL, 0 ) AS my_value FROM best_estimate
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