Hi,

I am new to django.

MyTask:
======
while handling asynchronous task in Django using celery i need to export 
some data to excel and need to create a pivotal table from it,
I am using "crosstab" in pandas.[ 
https://pandas.pydata.org/pandas-docs/version/0.17.0/generated/pandas.crosstab.html
 ]

*I have a data frame[df] like below:*
*df :*

# read the specific columns from an excel file.
require_cols = ['ID', 'Category', 'PatchLeve1', 'HQ Domain Owners', 
'LGSIDomainOwners', 'Ownershipstatus']

# only read the specific columns from an excel file.
df = pd.read_excel(excel_name, use_cols=require_cols)


SerialNo RecordId Category SecurityPatchLevel Applicability Description 
GSP_ID HQDomainOwners LGSIDomainOwners OwnerShipStatus 
1 16 Google Security Patch 2019-02-01 O https://www.collab.com/en/20 
CVE_2019_201920 IT1 IT1   
2 17 Google Security Patch 2019-02-01 O https://www.collab.com/en/21 
CVE_2019_201921 Connectivity-GPS Connectivity-GPS   
3 18 Google Security Patch 2019-02-01 O https://www.collab.com/en/22 
CVE_2019_201922 Media-Framework MM   


===========================================================================================================
while executing below statement, cross tab i am getting *TypeError: 
crosstab() missing 1 required positional argument: 'columns'*
===========================================================================================================

*gsp_pivoted_table= pd.crosstab([df.Category,df.LGSIDomainOwners],margins=True)*

-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

print("crosstab for LGSIDomainOwner and ownership status Count")
gsp_pending_notification = 
pd.crosstab([df.LGSIDomainOwners,df.OwnerShipStatus], margins=True)

return gsp_pivoted_table, gsp_pending_notification;


==========================================================================================================



Please let us know how to proceed further.


Regards,
N.Dilip Kumar.

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