From 3c599dd727a13a5b39e34c5e55b34d89b4c9e277 Mon Sep 17 00:00:00 2001 From: Pritimay Sarkar Date: Sat, 17 Feb 2024 22:52:21 +0530 Subject: [PATCH] add acid red in auto analysis --- cloud-functions/python/functions/performance/main.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/cloud-functions/python/functions/performance/main.py b/cloud-functions/python/functions/performance/main.py index e1cbfd7..8f88cf9 100644 --- a/cloud-functions/python/functions/performance/main.py +++ b/cloud-functions/python/functions/performance/main.py @@ -174,11 +174,11 @@ def performance(request): df_reference_device.columns.name = 'Wavelength' if not df.empty: - conditions = [df['name'].str.contains('Tar', case=False, na=False), - df['name'].str.contains('KM', case=False, na=False), + conditions = [df['name'].str.contains('Tartrazine', case=False, na=False), + df['name'].str.contains('Acid Red', case=False, na=False), df['name'].str.contains('HB', case=False, na=False)] - choices = ['Tartrazine', 'KMnO4', "HB"] + choices = ['Tartrazine', 'Acid Red', "HB"] df['solution'] = np.select(conditions, choices, default=None) @@ -289,7 +289,7 @@ def performance(request): fig, ax = plt.subplots() - filtered_df = df[df['solution'].isin(['KMnO4', 'Tartrazine', 'HB'])] + filtered_df = df[df['solution'].isin(['Acid Red', 'Tartrazine', 'HB'])] for solution in filtered_df['solution'].unique(): if pd.notna(solution):