As the title states, I'm having issues importing datetimes from Excel to SAS. The issue seems to be with seconds:
here's sample data from excel:
My DateTime:
Here's the raw excel numbers:
Edit2:
43417.58657407
43417.58656250
When I'm import these into SAS, this is how SAS is displaying them:
13NOV2018:14:04:39
13NOV2018:14:04:39
and the numeric values:
1857737079
1857737079
I'm trying to figure out how to get SAS to read the seconds correctly. I'm using proc import and here's my code:
proc import
out = MyDSOutput
datafile= MyDSInput
dbms = EXCEL replace;
sheet = "page";
getnames = yes;
mixed = yes;
scantext = yes;
usedate = no;
scantime = yes;
textsize = 32767;
;
run;
EDIT: I should have added that converting this to a CSV really isn't an option because I have numeric IDs that are >15 digits and excel will convert anything >15 digits to 0s.
EDIT2: Added an expanded version of the raw excel numbers
Excel stores time as a fraction of a day. It is impossible to represent a specific number of seconds exactly when you do that. That particular time, 14:04:40 (second number 50,680), is particularly hard to represent as a floating point fraction. If you represent it as 0.58657407 and multiple by the number of seconds in a day you get seconds of 50,679.999648, so slightly less that what you want.
Try splitting your DATETIME field into separate DATE and TIME fields. That way SAS will have more binary digits to represent just the time of day (since it doesn't also have to have the 40K or 20K seconds for the day of the year). Perhaps that will get close? Or store the value as a character string in Excel and then use INPUT() function in SAS to convert the string to a datetime value.
For your ID issue, do not store ID values as numbers, in any system if you can avoid it. If you can store the ID in your EXCEL file then EXCEL can write it the the CSV file. But when you read the CSV file make sure to read that column into a character variable and not a numeric one.
Related
I have imported an excel sheet where the date1 is 4/1/16 date2 is 5/29/14 and date3 is 5/2/14. However, when I import the sheet into SAS and do PROC PRINT gives the first 2 variable columns as "42461" and "41788" while the date3 is 05/02/2014.
I need these date formats consistent b/c I am doing a Cox regression with PROC PHREG.
Any thoughts about how to make these dates consistent?
Thanks!
This probably depends on how the data is represented in Excel and how it is imported into SAS. First, are the formats the same in Excel? The first two are being imported as a number. The second as a string.
In Excel, you can format the column using a date format. Perhaps your import method will recognize this. You can also define another column as a string, using the text(<whatever>, "YYYY-MM-DD") to convert to a string in that format.
Alternatively, you can import all as numbers and then add the value to 1899-12-31. That is the base date for Excel. This makes more sense if you think of "1" as being 1900-01-01.
Because your column had mixed numeric (date) and character values SAS imported the field as character. So the actual dates got imported as the text version of the actual number that Excel stores for dates. The ones that look like date strings in SAS are the fields that were strings in Excel also.
Or if in your case one of the three columns was all valid dates then SAS imported it as a number and assigned a date format to it so there is nothing to fix for that column.
The best way to fix it is to make sure that all of the values in the date column are either real dates or empty cells. Then PROC IMPORT will be able to make the right guess at how to import it.
Once you have the strings in SAS and you want to try to fix them then you need to decide which strings look like integers and which should be treated as date strings.
So you might just check if they have any non-digit characters and assume those are the ones that are date strings instead of numbers. For the ones that look like integers just adjust the number to account for the fact that Excel numbers dates from 1900 and SAS numbers them from 1960.
data want ;
set have ;
if missing(exel_string) then date=.;
else if notdigit(trim(excel_string)) then date=input(excel_string,anydtdte32.);
else date=input(excel_string,32.) + '01JAN1900'd -2 ;
format date yymmdd10. ;
run;
You might wonder why the minus 2? It is because Excel starts from 1 instead of 0 and also because Excel thinks 1900 was a leap year. Here are the Excel date numbers for some key dates and a little SAS program to convert them. Try it.
data excel_dates;
input datestr :$10. excel_num :comma32. #1 sas_num :yymmdd10. ;
diff = sas_num - excel_num ;
format _numeric_ comma14. ;
sasdate1 = excel_num - 21916;
sasdate2 = excel_num + '01JAN1900'd -2 ;
format sasdate: yymmdd10.;
cards;
1900-01-01 1
1900-02-28 59
1900-03-01 61
1960-01-01 21,916
2018-01-01 43,101
;
I need to import an excel, the excel has a few columns and the 1st column A is a date column. Column A has the date format DDMMMYYYY e.g. '01Jan2017' and in excel the data type is date type. But when I import it to SAS, all the other columns remain the same data type (numeric, character, etc.) and value. But column A becomes a number e.g. ('42736' for '01Jan2017'). How do I import the data as it is and without converting the data type to other types?
libname out '/path';
proc import out=out.sas_output_dataset
datafile='/path/excel_file.xlsx'
DBMS=XLSX
REPLACE;
sheet="Sheet1";
run;
It is hard to know without seeing the data. The below is general information, it may not answer your precise problem.
To avoid common errors you should set mixed=yes in your libname. You may also want to include stringdate=yes statement.
The mixed=yes allows for any out of range excel date values.
stringdates=yes brings all dates into SAS in character format, so you will need to use the input() function to convert this into a SAS date.
Date = input( Date , mmddyy10. )
I would suggest that you import the excel with the import wizard in SAS. Afterwards right-click on the query and extract the code, see here: SAS Import Query DE
In the generated code itself you can format each imported column into the desired format.
For the possible format see: https://documentation.sas.com/doc/en/pgmsascdc/9.4_3.5/leforinforref/n0p2fmevfgj470n17h4k9f27qjag.htm
Hope this helps.
A value of '42736' for '01Jan2017' is an indication that the column in the Excel file has a mix of cells with date values and cells with string values. In that case SAS will make the variable character and store the date values as a digit string that represents the raw number excel uses for the date. To convert '42736' to a date value you need to first convert it to a number and then adjust the number for the difference in the base date used by Excel.
date_value = input(date_string,32.) + '30DEC1899'd ;
To convert the strings that look like '01JAN2017' use the DATE informat instead.
date_value = input(date_string,date11.);
You could add logic to do both to handle a column with mixed values.
date_value = input(date_string,??date11.);
if missing(date_value) then
date_value = input(date_string,??32.) + '30DEC1899'd
;
To have the new variable print the date values in a human readable style attach a date type format to the variable.
format date_value date9. ;
I am trying to run the following code :
import openpyxl
wb = openpyxl.load_workbook("/Users/kakkar/Downloads/TRADEBOOK ALL-EQ 01-01-2016 TO 04-02-2017.xlsx")
sheet = wb.get_sheet_by_name('TRADEBOOK')
print(sheet.cell(row=15, column=3).value)
print(sheet.cell(row=15, column=3).internal_value)
In the input Excel file, column 3 contains the time value 10:47:49. This is being treated in openpyxl as the floating-point value 0.449872685185185.
How can I get the time value in the form HH:MM:SS?
Excel stores time (and date) values as floating-point numbers. The whole number is the number of days since the epoch (1 Jan 1970), while the remainder is the portion of the day.
Here is an answer that can help you get the hours, minutes, and seconds out of the value, but this answer might be better for getting the answer without writing code (it uses the xlrd library).
the .internal_value of 10:47:49 (HH:MM:SS) IS 0.449872685185185, so its OK.
Please give as the following output:
cell = sheet['C15']
print('cell=\t%s\n\ttype=%s\n\t.number_format=%s;\n\t.value=%s;\n\t.internal_value=%s;' % (cell,str(type(cell.value)),cell.number_format,cell.value,cell.internal_value) )
Tested with Python:3.4.2 - openpyxl:2.4.1 - LibreOffice: 4.3.3.2
I just started using Matlab (R2015a) a few weeks ago, and although I have searched for an answer to this question (and tried a few workarounds) I haven't had any luck. Hopefully, it's an easy fix!!
I am trying to write one column of serial dates at high precision (I need milliseconds) and many columns of data to a .csv file. I don't want insane precision for everything, just the first column of dates.
Here's what I've found:
- csvwrite doesn't allow for differing precisions.
xlswrite doesn't have enough precision (even though my serial date is a double, and yes I looked at the spreadsheet cell)
dlmwrite appends data in row format, so writing the dates and then appending the rest of the data doesn't work (though soooo close!)
Now I'm trying with fprintf:
hz_time is the serial date (double)
data1 and data2 are 4x25 (double) and 4x7 (double) respectively
hz_time = 1.0e+05 *
[7.357583607870371, 7.357583607928241, 7.357583607986110, 7.357583608043980]
STR_data = [data1, data2];
filename = (strcat('Processed_',files(k1).name));
file = fopen(filename,'w');
fprintf(file,'%.20f\n',hz_time);
fprintf(file,'%f%f%f%f%f%f%f%f%\n',STR_data);
fclose('all')
Currently, this code appends data1 and data2 in one cell at the end of the STR_date_time column. When I try concatenating hz_time and the data matrices together (using strcat) I fail:
STR_data = strcat([hz_time, data1, data2])
Warning: Out of range or non-integer values truncated during conversion to character.
I'm sure it's probably my formatting...
My end goal is to export this data (into a .csv or excel spreadsheet or something) so that the first column has the serial date (loads of precision) and columns 2-8 have the other data in it.
Any help would be much appreciated.
Thanks in advance!
I have a very long vector of date strings (1000000+) in Matlab that I want to convert to a serial number format. The issue is that not every date string is the same format. They are one of two formats,
'2010-03-04 12:00:00.1'
or
'2010-03-04 12:00:00'
The problem is that not all the strings have the millisecond precision. There is no regular pattern as to where these strings without milliseconds occur. The data is originally read from a data file, and the strings currently exist as cell arrays. My work around this is as follows:
for i=1:length(dates),
if length(dates{i})==19
dates(i)=datenum(temp);
elseif length(dates{i})==21
dates(i)=datenum(temp,'yyyy-mm-dd HH:MM:SS.FFF');
end
end
Is there perhaps a better way to go about this? It is important that I retain the millisecond precision when it is present. The intent of this is that I will have to extract and calculate statistics on data associated with each time based on different time criteria, and I figured it would be easier if the dates were handled as numbers.
In MATLAB R2010b, I'm able to get the desired output when calling DATENUM with no additional formatting arguments:
>> dateStrs = {'2010-03-04 12:00:00.1'; ... %# Sample strings
'2010-03-04 12:00:00'};
>> datenum(dateStrs)
ans =
1.0e+005 *
7.3420 %# The same? No, the Command Window just isn't displaying
7.3420 %# many places after the decimal point.
>> format long %# Let's make it show more decimal places
>> datenum(dateStrs)
ans =
1.0e+005 *
7.342015000011574 %# And there's the difference!
7.342015000000000