我们如何将两个数据框列加载到 folium 的弹出窗口中?
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【中文标题】我们如何将两个数据框列加载到 folium 的弹出窗口中?【英文标题】:How can we load two dataframe columns into a popup in folium? 【发布时间】:2022-01-21 17:56:18 【问题描述】:我有一个看起来像这样的数据集。
Procedure Code_Type Code NDC Rev_Code Procedure_Description Payer Plan(s) IP_Price OP_Price Discounted_Cash_Price IP_Negotiated_Charge OP_Negotiated_Charge PB_Negotiated_Charge De-Identified_Minimum_Negotiated_Charge_(IP) De-Identified_Maximum_Negotiated_Charge_(IP) De-Identified_Minimum_Negotiated_Charge_(OP) De-Identified_Maximum_Negotiated_Charge_(OP) ID hospital_name lat lon
7509657101 EAP 96571 BRONCHOSCOPY WITH PHOTODYNAMIC THERAPY EACH ADDITIONAL 15 MINUTES 1199 NATIONAL BENEFIT FUND [5140] 1199SEIU BENEFIT FUND [514001] 1,073.73 1,073.73 429.49 32 29.82 697.92 36 Atlanta Center for Medical Research, Atlanta, GA, USA 33.739876 -84.512581
7710001A01 EAP CPT® 0001A 0771 - PREVENTIVE CARE SERVICES - VACCINE ADMINISTRATION IMM ADMN SARSCOV2 30MCG/0.3ML DIL RECON 1ST DOSE 1199 NATIONAL BENEFIT FUND [5140] 1199SEIU BENEFIT FUND [514001] 100 100 0 40 16.94 80 41 Synergy Spinecare & Rehabilitation Medicine, Teaneck, NJ, USA 40.873272 -74.012093
7710001A01 EAP CPT® 0001A 0771 - PREVENTIVE CARE SERVICES - VACCINE ADMINISTRATION IMM ADMN SARSCOV2 30MCG/0.3ML DIL RECON 1ST DOSE AETNA COMM [5020] MERITAIN HEALTH [502006] 42.35 42.35 0 29.65 16.94 80 9 Massachusetts General Hospital, Boston, MS, USA 42.3624 -71.069206
7710002A01 EAP CPT® 0002A 0771 - PREVENTIVE CARE SERVICES - VACCINE ADMINISTRATION IMM ADMN SARSCOV2 30MCG/0.3ML DIL RECON 2ND DOSE 1199 NATIONAL BENEFIT FUND [5140] 1199SEIU BENEFIT FUND [514001] 100 100 0 40 20 80 26 Forest Hills Medical Services, Queens, NYC, NY, USA 40.73431 -73.84951
7710002A01 EAP CPT® 0002A 0771 - PREVENTIVE CARE SERVICES - VACCINE ADMINISTRATION IMM ADMN SARSCOV2 30MCG/0.3ML DIL RECON 2ND DOSE AETNA COMM [5020] MERITAIN HEALTH [502006] 70.73 70.73 0 49.51 20 80 21 Park Avenue Smiles, Yonkers, NYC, NY, USA 40.945873 -73.890671
7710011A01 EAP CPT® 0011A 0771 - PREVENTIVE CARE SERVICES - VACCINE ADMINISTRATION IMM ADMN SARSCOV2 100 MCG/0.5 ML 1ST DOSE 1199 NATIONAL BENEFIT FUND [5140] 1199SEIU BENEFIT FUND [514001] 100 100 0 40 16.94 80 17 New York’s Presbyterian Lower Manhattan Hospital, NYC, NY, USA 40.710255 -74.005058
7710011A01 EAP CPT® 0011A 0771 - PREVENTIVE CARE SERVICES - VACCINE ADMINISTRATION IMM ADMN SARSCOV2 100 MCG/0.5 ML 1ST DOSE AETNA COMM [5020] MERITAIN HEALTH [502006] 42.35 42.35 0 29.65 16.94 80 50 Baptist East Hospital, Memphis, TN, USA 35.2005 -89.788216
7710012A01 EAP CPT® 0012A 0771 - PREVENTIVE CARE SERVICES - VACCINE ADMINISTRATION IMM ADMN SARSCOV2 100 MCG/0.5 ML 2ND DOSE 1199 NATIONAL BENEFIT FUND [5140] 1199SEIU BENEFIT FUND [514001] 100 100 0 40 20 80 29 ***lyn Abortion Clinic, ***lyn, NY, New York, USA 40.689743 -73.982368
7710012A01 EAP CPT® 0012A 0771 - PREVENTIVE CARE SERVICES - VACCINE ADMINISTRATION IMM ADMN SARSCOV2 100 MCG/0.5 ML 2ND DOSE AETNA COMM [5020] MERITAIN HEALTH [502006] 70.73 70.73 0 49.51 20 80 50 Baptist East Hospital, Memphis, TN, USA 35.2005 -89.788216
3100015M01 EAP CPT® 0015M 0310 - LABORATORY PATHOLOGICAL - GENERAL CLASSIFICATION ADRENAL CORTICAL TUMOR, BIOCHEMICAL ASSAY OF 25 STEROID MARKERS, UTILIZING 1199 NATIONAL BENEFIT FUND [5140] 1199SEIU BENEFIT FUND [514001] 1 1 0 0.85 0.01 0.85 34 UC Physicians Medical Arts Building, Cincinnati, Ohio, USA 39.136597 -84.505058
现在,我正在尝试创建一个显示纬度和经度的箔图,以及我的数据框中的两列。
这是我的代码。
from folium.plugins import MarkerCluster
m = folium.Map(location=[40.74, -73.98], zoom_start=10)
for i in range(0,len(df_final)):
folium.Marker([df_final['lat'].iloc[i],df_final['lon'].iloc[i]],
popup=df_final[['hospital_name','Discounted_Cash_Price']]).add_to(m)
m
当我运行它时,我得到了这个。
这里似乎包含了很多很多多余的信息。我期待一个医院名称和一个浮动的 Discounted_Cash_Price,但我得到了很多额外的东西。也许数据集没有被正确解析。知道这里可能有什么问题吗?谢谢。
【问题讨论】:
您的坐标已编入索引(即 iloc),但您的弹出窗口没有 【参考方案1】:我得到了这个工作。
m = folium.Map(location=[40.74, -73.98], zoom_start=10)
for i in range(0,len(df_final)):
folium.Marker([df_final['lat'].iloc[i],df_final['lon'].iloc[i]],
popup = "Hospital: " + str(df_final.hospital_name[i]) + '<br>' +
"Price: " + str(df_final.Discounted_Cash_Price[i])).add_to(m)
m
【讨论】:
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