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Amending commit to add ability to group invoices by PIs #11

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Apr 3, 2024
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Amending commit to add ability to group invoices by PIs #11

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4 changes: 2 additions & 2 deletions process_report/process_report.py
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Original file line number Diff line number Diff line change
Expand Up @@ -119,12 +119,12 @@ def export_pi_billables(dataframe: pandas.DataFrame, output_folder):
if not os.path.exists(output_folder):
os.mkdir(output_folder)

invoice_month = dataframe['Invoice Month'][0]
invoice_month = dataframe['Invoice Month'].iat[0]
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@QuanMPhm QuanMPhm Apr 1, 2024 •
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@naved001 The intent of this line and line 127 was to quickly obtain the invoice month and the PI's instituition name from the dataframe. I tried to get this information by indexing into the first element of the Invoice Month and Institution column.
Using [] for indexing was a form of label indexing equivalent to .loc[], which would raise an error if row 0 of the invoice dataframe was not present (which would happen if the project in the first row was unbillable/excluded). iat[] uses position indexing, which would be the appropriate method for this case.

pi_list = dataframe['Manager (PI)'].unique()

for pi in pi_list:
pi_projects = dataframe[dataframe['Manager (PI)'] == pi]
pi_instituition = pi_projects['Institution'].unique()[0]
pi_instituition = pi_projects['Institution'].iat[0]
pi_projects.to_csv(output_folder + f"/{pi_instituition}_{pi}_{invoice_month}.csv")


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