Merge branch 'remove-git-lfs' into 'master'

remove Git LFS and change data file URL

See merge request caimira/caimira!450
This commit is contained in:
Luis Aleixo 2023-06-07 15:01:14 +02:00
commit f14406de74
3 changed files with 4 additions and 8 deletions

1
.gitattributes vendored
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@ -1 +0,0 @@
*.xlsx filter=lfs diff=lfs merge=lfs -text

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version https://git-lfs.github.com/spec/v1
oid sha256:2aef0605c3668b4884b815f71c0eae93eaaa7b88d6b6c17ff97f6a86a38674a5
size 76179581

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@ -3,12 +3,12 @@ from tabulate import tabulate
''' '''
Script file to generate the vaccine effectiveness values. Script file to generate the vaccine effectiveness values.
To generate the primary vaccine effectiveness values, uncoment lines 16-21. To generate the primary vaccine effectiveness values, uncomment lines 16-21.
To generate the booster effectiveness values, uncoment lines 26-56. To generate the booster effectiveness values, uncomment lines 26-56.
''' '''
# Data from 08 Sep. 2022 # Data from 08 Sep. 2022
file_loc = "./WeeklySummary_COVID19_VE_Studies_08Sep2022_adapted.xlsx" file_loc = "https://caimira-resources.web.cern.ch/WeeklySummary_COVID19_VE_Studies_08Sep2022_adapted.xlsx"
# ------- PRIMARY VACCINATION ------ # # ------- PRIMARY VACCINATION ------ #
@ -43,7 +43,7 @@ file_loc = "./WeeklySummary_COVID19_VE_Studies_08Sep2022_adapted.xlsx"
# new_rows_with_or.at[index, 'primary series vaccine'] = row['primary series vaccine'].split(' or ')[1] # new_rows_with_or.at[index, 'primary series vaccine'] = row['primary series vaccine'].split(' or ')[1]
# rows_to_add.loc[len(rows_indexes)+index] = new_rows_with_or.loc[index] # rows_to_add.loc[len(rows_indexes)+index] = new_rows_with_or.loc[index]
# # merge the dataframe without the ' or ' with the new dataframe that has the rows divided in two # # merge the dataframe without the ' or ' with the new dataframe that has the rows divided in two
# final_df = pd.concat([df_without_or, rows_to_add]).reset_index().drop(columns=['index']) # final_df = pd.concat([df_without_or, rows_to_add]).reset_index().drop(columns=['index'])
# # calculate the VE value # # calculate the VE value