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faiza.zafar avatar image
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I am trying to Convert yy-mm-dd to Q1 , Q2 for each company ID.

Hi community,

I am working with institutional ownership data and I extracting quarterly historical investor data. I want to convert my dates for each company to quarterly format as is shown in the attached picture below.

My current data looks like this:

1688546030373.png

But I want it in the format as shown 1688546056901.png

I have had a look at @Alan Tam123 post https://community.developers.refinitiv.com/questions/60189/date-format-and-column-headings.html but the code seems to be different from how I am doing it.

Any help would be great! @Jirapongse look forward to your expert help.


My code is attached below:

df,e = ek.get_data(instruments=['AAPL.O','AAL.L'], fields=[
    'TR.CommonName',
    'TR.InvestorFullName("TheInvestorType":"113,108,107")',
    'TR.SharesHeld.calcdate',
    'TR.SharesHeld',
    'TR.PctOfSharesOutHeld',
    'SUM(TR.PctOfSharesOutHeld)',
    'TR.InvestorType',
    'TR.InvestorTypeId'],parameters={'SDate':'0','EDate':'-4', 'Period':'FQ0','Frq':'FQ'})
df
#EDate is the number of quaters 
df1= df
df1['id']=df1.groupby(['Instrument']).ngroup()
df1.set_index(['id','Calc Date'])


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3 Answers

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Jirapongse avatar image
86.2k ●292 ●53 ●79

@faiza.zafar

I am not a Python Dataframe expert so I used the for loop to check and change the values.

First, I added the Quarter and QuaterTemp columns to the data frame. 

df,e = ek.get_data(instruments=['AAPL.O','AAL.L'], fields=[
    'TR.CommonName',
    'TR.InvestorFullName("TheInvestorType":"113,108,107")',
    'TR.SharesHeld.calcdate',
    'TR.SharesHeld',
    'TR.PctOfSharesOutHeld',
    'SUM(TR.PctOfSharesOutHeld)',
    'TR.InvestorType',
    'TR.InvestorTypeId'],parameters={'SDate':'0','EDate':'-4', 'Period':'FQ0','Frq':'FQ'})
df['Quarter'] = pd.PeriodIndex(df['Calc Date'], freq='Q')
df['QuarterTemp'] = df['Quarter']
df

Then, I used a for loop to change the values in the Quarter column according to the following conditions. Next, I dropped the QuarterTemp column. 

for i in range(1, len(df)):
    if ((df.loc[i-1,'QuarterTemp'] == df.loc[i,'QuarterTemp']) and (df.loc[i-1,'Instrument'] == df.loc[i,'Instrument'])):
        df.loc[i, 'Quarter'] = ""
df = df.drop('QuarterTemp', axis=1)
df

1688610990381.png

Finally, I called the groupby and set_index methods.

df1= df
df1['id']=df1.groupby(['Instrument']).ngroup()
df1 = df1.set_index(['id','Quarter'])
df1

1688611815969.png



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Upvotes
Jirapongse avatar image
86.2k ●292 ●53 ●79

@faiza.zafar

Thank you for reaching out to us.

Please try this code:

df,e = ek.get_data(instruments=['AAPL.O','AAL.L'], fields=[
    'TR.CommonName',
    'TR.InvestorFullName("TheInvestorType":"113,108,107")',
    'TR.SharesHeld.calcdate',
    'TR.SharesHeld',
    'TR.PctOfSharesOutHeld',
    'SUM(TR.PctOfSharesOutHeld)',
    'TR.InvestorType',
    'TR.InvestorTypeId'],parameters={'SDate':'0','EDate':'-4', 'Period':'FQ0','Frq':'FQ'})
df['Quarter'] = pd.PeriodIndex(df['Calc Date'], freq='Q')
df

1688549348743.png

Then, run this code.

df1= df
df1['id']=df1.groupby(['Instrument']).ngroup()
df1.set_index(['id','Quarter'])

1688549400169.png



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1688549400169.png (80.3 KiB)
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Upvotes
faiza.zafar avatar image
7 ●2 ●3 ●7

Thank you ! It works fine. I want to know if its is possible that instead of the quarters repeating for each ID , it should just stay once per quarter. Please see attached. @Jirapongse

1688558325507.png


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