clean up

fetch_physicians.py

@@ -1,7 +1,7 @@
 # %%
 import camelot
-import pandas as pd
 import numpy as np
+import pandas as pd
 
 url = "https://cpsa.ca/MedicalDirectory/Alphabetical%20Listing.pdf"
 tables = camelot.read_pdf(url, pages="all", flavor="stream")
@@ -28,13 +28,10 @@ def process(tdf):
     df = df[~df.apply(lambda row: row.isna().sum() == 4, axis=1)]
     df = df.reset_index(drop=True)
     for ind in df[df.apply(lambda row: row.isna().sum() == 3, axis=1)].index:
-
         if df.loc[ind]["CITY"] is not np.nan:
-
             df.loc[ind - 1]["CITY"] += f' {df.loc[ind]["CITY"]}'
 
         if df.loc[ind]["NAME"] is not np.nan:
-
             df.loc[ind - 1]["NAME"] += f' {df.loc[ind]["NAME"]}'
     df = df[~df.apply(lambda row: row.isna().sum() == 3, axis=1)]
     return df

fetch_ratemds.py

@@ -7,7 +7,6 @@
 from seleniumbase import SB
 from tqdm import tqdm
 
-
 df = pd.read_csv("physicians.csv")
 
 

streamlit_app.py

@@ -4,7 +4,6 @@
 import plotly.express as px
 import streamlit as st
 
-
 st.set_page_config(page_title="ab-physicians", page_icon=":mask:")
 _, center, _ = st.columns([2, 1, 2])
 with center: