Convert date from integer to date format

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I have a column 'start_date' which is an integer 37823. This happened when I used xlrd library to convert xlsx to csv. Hence '2003/07/21' got converted to 37823.

I have gone through xlrd documentation and I understand there are several ways to convert it to date. However, I need to convert this to date format using PySpark in AWS Glue ETL jobs. Any suggestions?

I tried using to_date, date_format functions, but nothing worked.

I was able to finally resolve this issue.

Using UDF:

def convert_date(x):
    mDt = datetime.datetime(1899, 12, 30)
    dlt = mDt + datetime.timedelta(days=x)
    return dlt.strftime("%Y-%m-%d")

convert_date_udf = udf(lambda z: convert_date(z), StringType())
df = df.withColumn('hire date', convert_date_udf('hire date').alias('hire date new'))

Without using UDF:

df = df.withColumn('hire date', F.expr("date_add(to_date('1899-12-30'), cast(`hire date` as int))").cast(StringType())

Hope it helps!

SQL Server function to convert integer date to datetime format, In this tip we look at code you can use to convert an integer date into a datetime format. This is an issue you will face when working the history  As you can see, run_date is stored in the format of YYYYMMDD. It is stored as an integer format, not as a string as is the root format underlying the datetime data type within Microsoft SQL Server. I suspect it will only be a matter of time before the msdb database receives the same treatment the master database did in regards to the logical

I suppose that there are more elegant ways to done this but this is what I have come up with for now.

from datetime import date
df.hire_date = df.hire_date.apply(date.fromordinal) # this will give you date in dash format
df.hire_date = df.hire_date.apply(lambda x: str(x).replace('-', '/')) # this will simply replace dash with slash

Hope that this works for you :)

Convert INT to DATETIME (SQL), you need to convert to char first because converting to int adds those days to 1900-01-01 select CONVERT (datetime,convert(char(8)  A serial date number represents the whole and fractional number of days from a specific date and time, where datenum ('Jan-1-0000 00:00:00') returns the number 1. (The year 0000 is merely a reference point and is not intended to be interpreted as a real year in time.) Python, Return the date corresponding to the

Looks like 12/30/1899 + 37823 days = 2003/07/21

You can use this date_add function below instead of UDF or python functions. UDFs are supposed to be a little slower than pyspark functions.

weird_date = 37823
df = spark.createDataFrame([('1899-12-30',)], ['dt']), weird_date).alias('converted_date')).collect()

SQL convert date, How to convert sql date into different formats in T-SQL If you use the CONVERT or CAST to convert a datetime to integer, it will return the  Due to some clueless soul, we have several fields in a legacy database that uses a 6-digit integer to represent a date in (YYYYmm) format. The date field is assumed to be the last day of the given month. I have written the following method to perform the conversion from int to java.util.Date:

[Solved] Convert integer to datetime, Assuming your datetime stored in Epoch & Unix Timestamp format, please ignore if this is not the case. Hide Copy Code. declare @mydate  INPUT Function is used to convert the character variable to sas date format. FORMAT Function is used to display the SAS date values in a particular SAS date format. If we would not use format function, SAS would display the date in SAS datevalues format. For example, 20588 is a sas datevalue and it is equivalent to '14MAY2016'.

Convert string or numeric time values into date format—ArcGIS Pro , Use this tool to specify a standard or custom time format for interpreting date and time values and converting those into a date format. Standard formats are  max(a.cre_acc_paid_date)Max_Act_Paid_Date, Resulting Date format is as follows. 41327. 41318. 41320 etc. When I load data from QVD file to my QV data model I want the above number format to convert to a date format which will ultimately be linked to a master calender,

Numeric-to-DATE Conversion, Although not recommended, you can explicitly convert numbers to dates. Teradata Database stores each DATE value as a four-byte integer using the following  Supports Unix timestamps in seconds, milliseconds, microseconds and nanoseconds. #N#Human date to Timestamp. [batch convert] Input format: R FC 2822, D-M-Y, M/D/Y, Y-M-D, etc. Strip 'GMT' to convert to local time. Prefer a 12-hour clock? Go to preferences. Press c to clear all forms. Epoch dates for the start and end of the year/month/day.

  • Possible duplicate of How do I read a date in Excel format in Python?
  • Dylan - I guess its not. As I am not looking to convert it to date format during xlsx to csv conversion. I need to convert it later in the data pipeline. Is that possible?
  • Isn't this going to work for you ->… ?
  • Possible duplicate of How to convert the integer date format into YYYYMMDD?
  • @Dawid_Sielski - I used the same function like this :df = df.withColumn('hire date', datetime.fromordinal(df['hire date']).strftime('%Y%m%d')) TypeError: an integer is required
  • Thanks Lucifer. I tried something like this: df2 = spark.createDataFrame([('1899-12-30',)], ['dt']) df =, df['hire date']).alias('converted_date')).collect() print df.head() Got this error: TypeError: 'Column' object is not callable
  • I think it's because you used "df" before you declared it.
  • Well I keep getting the error : Method date_add([class org.apache.spark.sql.Column, class java.lang.String]) does not exist. This is mycode: from pyspark.sql import functions as f df2 = spark.createDataFrame([('1899-12-30',)], ['dt']) df =, 'hire date').alias('hire date'))
  • The date_add function takes (column, integer). You're trying to put (column, string).
  • The 'hire date' column is of IntegerType. However, since it has a space, I am not able to use it without '' and when I use it with '', it is interpreted as string.