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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.
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, datetime.date.fromordinal. 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']) df.select(date_add(df.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 -> stackoverflow.com/questions/2623156/… ?
- 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.select(date_add(df2.dt, 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 = df.select(f.date_add(df2.dt, '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.