Skip to content

decreased redundancy in fitting #94

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
lenafb wants to merge 1 commit into
base: main
Choose a base branch
from
Open

decreased redundancy in fitting #94

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
15 changes: 9 additions & 6 deletions interpretation/plotting.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -28,17 +28,20 @@ def fit2df(df, model, serum_group='serum ID'):
antigens = df['antigen'].unique()
secondaries = df['secondary ID'].unique()
plate_ids = df['plate ID'].unique()
prnt = df['PRNT'].unique()

keys = itertools.product(sera, antigens, secondaries, plate_ids, prnt)
# keys = itertools.product(sera, antigens, secondaries, plate_ids, prnt)
keys = itertools.product(sera, antigens, secondaries, plate_ids)
df_fit = pd.DataFrame(columns=df.columns)
for serum, antigen, secondary, plate_id, prnt in keys:
# for serum, antigen, secondary, plate_id, prnt in keys:
for serum, antigen, secondary, plate_id in keys:
print('Fitting {}, {}...'.format(serum, antigen))
prnt_sub = df[df['serum ID'] == serum]
prnt = prnt_sub['PRNT'].unique()
sec_dilu_df = df[(df[serum_group] == serum) &
(df['antigen'] == antigen) &
(df['secondary ID'] == secondary) &
(df['antigen'] == antigen) &
(df['secondary ID'] == secondary) &
(df['plate ID'] == plate_id) &
(df['PRNT'] == prnt)]
(df['PRNT'] == prnt[0])]
sec_dilutions = sec_dilu_df['secondary dilution'].unique()
for sec_dilution in sec_dilutions:
sub_df = sec_dilu_df[(sec_dilu_df['secondary dilution'] == sec_dilution)].reset_index(drop=True)
Expand Down