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Data cleansing importance in Pyspark | Multiple date format, clean special characters in header
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in this video what is the importance of data cleaning and python importanace in pyspark.
If you have multiple date format, if u want to remove special characters from header how to skip explained in this video.
# yyyy-MM-dd format only
#data cleaning steps
def dynamic_date(col,frmts=("yyyy-MM-dd","dd-MMM-yyyy","ddMMMMyyyy","MM-dd-yyyy","MMM/yyyy/dd")):
return coalesce(*[to_date(col, i )for i in frmts])
import re
#data process
If you have multiple date format, if u want to remove special characters from header how to skip explained in this video.
# yyyy-MM-dd format only
#data cleaning steps
def dynamic_date(col,frmts=("yyyy-MM-dd","dd-MMM-yyyy","ddMMMMyyyy","MM-dd-yyyy","MMM/yyyy/dd")):
return coalesce(*[to_date(col, i )for i in frmts])
import re
#data process
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