I have a column in my Excel sheet called "Start_Time" and the data in the column is in "HH:MM:SS" format, for example "10:13:20".
But when I use pandas.read_excel() function to load the data. The "Start_Time" column showed decimal values (for example: 0.425925925925926) with data type as "object".
How could make the df["Start_Time"] to display as "10:13:20"?
I tried pd.Timedelta(), but it works for only one value at a time. I want to convert all values in that column.
Start Time
End Time
16:24:50
16:32:27
10:35:53
15:06:46
15:21:43
6:39:50
6:39:50
21:55:02
3:29:04
3:29:13
0:53:06
0:53:06
10:21:13
10:25:18
16:15:25
16:19:31
Excel stores the date as a serial number counting from a starting date.
When you choose a format it converts that serial number to the format demanded.
If you want Pandas to display the correct date then you have to convert the serial number.
Related
how to separate date and time from datetime column if you have the format as below :
click here to view image
I am trying int(datetime column) for fetching date ; Datetime column - int(datetime column) for fetching time column
Your formula cannot work because your data is a text string (note that it has a letter included) and not a number.
So first convert the string into a "real" time with:
=substitute(a2,"T"," ")
You can then use:
Date: =INT(SUBSTITUTE(A2,"T"," "))
Time: =MOD(SUBSTITUTE(A2,"T"," "),1)
and be sure to format the results as desired:
If your column is formatted true date then use to separate date
=TEXT(A1,"yyyy-mm-dd")
For time
=TEXT(A1,"hh:mm:ss")
If data is in text string or output by TEXT() function then try below functions.
for date =TEXT(FILTERXML("<t><s>"&SUBSTITUTE(A1,"T","</s><s>")&"</s></t>","//s[1]"),"yyyy-mm-dd")
for time =TEXT(FILTERXML("<t><s>"&SUBSTITUTE(A1,"T","</s><s>")&"</s></t>","//s[last()]"),"hh:mm:ss")
For date
=LEFT(A2,FIND("T",A2)-1)
For time
=RIGHT(A2,LEN(A2)-FIND("T",A2))
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 have time data from the unix time command like
203m53.5s
I have this data in excel. I want it to be converted to Excell time format so I can do mathematical operations like sum and averages over them.
How can I do this
Replace the m with : and the s with "":
=--SUBSTITUTE(SUBSTITUTE(A1,"m",":"),"s","")
Now that the time is in a format that Excel will recognize we need to change it from string text to a number. The -- is forcing the string into a number by performing a mathematical process of multiplying -1 * -1 to it.
It can be replaced by TIMEVALUE()
Then format the cell with a custom format of:
[mm]:ss.0
One way is to use a forumala to strip out the m and s and use those values for time in a new column in Excel.
Assume the Unix data is in column A.
=(LEFT($A1,FIND("m",$A1)-1)*60+MID($A1,FIND("m",$A1)+1, LEN($A1)-FIND("m",$A1)-1)/84600
then format the cell as custom and choose the time without the AM/PM
Breakdown:
(get the minutes by finding "m")
multiply by 60 to convert to seconds
+ (get the seconds by starting at the location of m, +1 to the location of m-length of the whole string)
-1 to account for the actual "s"
Then divide the whole thing by 84600 to convert to time as a decimal
I am trying to import the data from an excel sheet in which there are 3 columns (Time; Id; and Data).
The first column contains time (in seconds) while the next column has numbers (Id). The third column (Data), however, has hexadecimal numbers, therefore Matlab is unable to process that information and shows 'NaN' in the command window/structure whenever I try to retrieve any information from the third column.
I want to create a structure for each Ids and display the respective information inside that Id.
Hence is there anyway to obtain the information from the third column without getting NaN error?
Here's my code:
[dat1, dat2, dat3] = xlsread('1');
flds=dat3(1,:);
bus=cell2struct(dat3(2:end,:),flds,2);
for k=1:length(bus)
if bus(k).Id == 150
i=i+1;
can_bus(k,:)
end
end
You can get the raw text and do the conversion yourselves:
To get the text, you have to get other output parameters
from xlsread. For example:
[num,txt,raw] = xlsread('file.xls');
will return the numeric values in num, the text values in txt, and
the raw cell data in raw.
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