Converting unsigned chars to float in assembly (to prepare for float vector calculations)
By : user2391931
Date : March 29 2020, 07:55 AM
I wish this helpful for you (1) AND with a mask to zero out the odd bytes (PAND) (2) Unpack from 16 bits to 32 bits (PUNPCKLWD with a zero vector)

Converting Int to Float or Float to Int using Bitwise operations (software floating point)
By : Willy
Date : March 29 2020, 07:55 AM
I think the issue was by ths following , First, a paper you should consider reading, if you want to understand floating point foibles better: "What Every Computer Scientist Should Know About Floating Point Arithmetic," http://www.validlab.com/goldberg/paper.pdfAnd now to some meat. code :
float uint_to_float(unsigned int significand)
{
// Only support 0 < significand < 1 << 24.
if (significand == 0  significand >= 1 << 24)
return 1.0; // or abort(); or whatever you'd like here.
int shifts = 0;
// Align the leading 1 of the significand to the hidden1
// position. Count the number of shifts required.
while ((significand & (1 << 23)) == 0)
{
significand <<= 1;
shifts++;
}
// The number 1.0 has an exponent of 0, and would need to be
// shifted left 23 times. The number 2.0, however, has an
// exponent of 1 and needs to be shifted left only 22 times.
// Therefore, the exponent should be (23  shifts). IEEE754
// format requires a bias of 127, though, so the exponent field
// is given by the following expression:
unsigned int exponent = 127 + 23  shifts;
// Now merge significand and exponent. Be sure to strip away
// the hidden 1 in the significand.
unsigned int merged = (exponent << 23)  (significand & 0x7FFFFF);
// Reinterpret as a float and return. This is an evil hack.
return *reinterpret_cast< float* >( &merged );
}

object is not converting to numeric after pd.to_numeric
By : user1486140
Date : March 29 2020, 07:55 AM
this one helps. I dont understand why my column allHoldingsFund['ratioBest'] is not converting into numeric? , I get your problem  values are not scalar, but numpy.ndarrays: code :
allHoldingsFund = pd.DataFrame({'ratioBest':[np.array(4.12), '']})
print (allHoldingsFund)
ratioBest
0 4.12
1
arr = np.array(allHoldingsFund['ratioBest'].tolist())
allHoldingsFund['ratioBest'] = (pd.to_numeric(arr, errors='coerce'))
print (allHoldingsFund)
ratioBest
0 4.12
1 NaN
print (allHoldingsFund['ratioBest'].dtype)
float64

Working in a SQL database, is there a way to convert a float to a nvarchar without converting the float to scientific no
By : user2846330
Date : March 29 2020, 07:55 AM
it should still fix some issue If the numeric part will be between ±9 quintillion (actually 9,223,372,036,854,775,807), then you can convert your float to bigint before casting to text: code :
UPDATE dbo.Table
SET ID = CONVERT(NVARCHAR(255), ISNULL(convert(bigint,NumID), N'')) + N'' + CONVERT(NVARCHAR(255), ISNULL(LetID, N''))

Error converting data type varchar to float even though the variable/column is already a float datatype
By : pbdabholkar
Date : March 29 2020, 07:55 AM
Any of those help There error message of line 89 is saying that is the code block, not necessarily line 89. Since you have several functions referencing 3 fields in your #svy_counter2 you need to confirm that pam_score, pam_lvl, and srvy_date are valid datatypes for those functions. I've seen dates being stored in varchar fields ('20190101') and if you try to take the max of that that you won't get what you're after unless you explicitly cast it to a date, datetime datatype. try something like this: select distinct cast(pam_score as float) from #svy_counter2 select distinct cast(pam_lvl as float) from #svy_counter2 select distinct cast(srvy_date as datetime) from #svy_counter2 see if one of them errors for you. That will tell you that field is the problem.

