UPdate: files added

Dockerfile

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+FROM python:3.9
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+COPY . .
+
+CMD ["panel", "serve", "/code/app.py", "--address", "0.0.0.0", "--port", "7860", "--allow-websocket-origin", "rajgopal-oil.hf.space"]

app.py

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+import hvplot.pandas
+import pandas as pd
+import numpy as np
+import panel as pn
+pn.extension('tabulator')
+
+
+df = pd.read_excel("Reports.xlsx", sheet_name='Sheet1')
+df["WATER CONTENT%"] = df["WATER CONTENT%"].fillna(0)
+df["WATER CONTENT%"] = df["WATER CONTENT%"].astype(int)
+yaxis_wells = pn.widgets.RadioButtonGroup(
+    name='Y axis',
+    options=['OIL(MT/DAY)', 'WATER CONTENT%', 'LIQUID RATE(M3/DAY)'],
+    button_type='success'
+)
+select_Asset = pn.widgets.Select(name='Asset', options=[
+                                 'MHN', 'AMD', 'ANK', 'CBY', 'SBS', 'DVP/SIL', 'AGT', 'RJY', 'KKL'])
+select_Year = pn.widgets.Select(name='Year', options=[2021, 2022, 2023])
+unique_wells = df['WELL'].unique().tolist()
+select_Wells = pn.widgets.Select(name='WELL', options=unique_wells)
+select_month = pn.widgets.Select(name='Month', options=df['Month'].unique().tolist())
+idf = df.interactive()
+wells_pipeline = (
+    idf[
+        (idf.Asset == select_Asset) & (idf.Year==select_Year) & (idf.Month==select_month)]
+    .groupby(['Asset','WELL'])[['LIQUID RATE(M3/DAY)','OIL(MT/DAY)', 'WATER CONTENT%']].mean().round(2)
+    .reset_index()
+    .sort_values(by='OIL(MT/DAY)',ascending=False)  
+    .reset_index(drop=True)
+)
+well_itable = wells_pipeline.pipe(pn.widgets.Tabulator, pagination='remote', page_size = 10, sizing_mode='stretch_width') 
+chart_pipeline = (
+    idf[
+        (idf.WELL == select_Wells )]
+    .groupby(['Asset','WELL', 'Year'])[['LIQUID RATE(M3/DAY)','OIL(MT/DAY)', 'WATER CONTENT%']].mean().round(2)
+    .reset_index()
+    .sort_values(by='OIL(MT/DAY)',ascending=False)  
+    .reset_index(drop=True)
+)
+wells_plot = chart_pipeline.hvplot(x = 'Year',y=yaxis_wells,line_width=2, title="Well History since 2021")
+
+wells_pipeline1 = (
+    idf[
+        (idf.Asset == select_Asset) & (idf.Year==select_Year) & (idf.Month==select_month)]
+    .groupby(['Asset','WELL', 'Year'])[['TOTAL GAS(M3/DAY)','COND(MT/DAY)']].mean().round(2)
+    .reset_index()
+    .sort_values(by='TOTAL GAS(M3/DAY)',ascending=False)  
+    .reset_index(drop=True)
+)
+well_itable1 = wells_pipeline1.pipe(pn.widgets.Tabulator, pagination='remote', page_size = 10, sizing_mode='stretch_width') 
+yaxis_wells1 = pn.widgets.RadioButtonGroup(
+    name='Y axis', 
+    options=['TOTAL GAS(M3/DAY)','COND(MT/DAY)'],
+    button_type='success'
+)
+chart_pipeline1 = (
+    idf[
+        (idf.WELL == select_Wells )]
+    .groupby(['Asset','WELL', 'Year'])[['TOTAL GAS(M3/DAY)','COND(MT/DAY)']].mean().round(2)
+    .reset_index()
+    .sort_values(by='TOTAL GAS(M3/DAY)',ascending=False)  
+    .reset_index(drop=True)
+)
+wells_plot1 = chart_pipeline1.hvplot(x = 'Year',y=yaxis_wells1,line_width=2, title="Well History since 2021")
+
+template = pn.template.FastListTemplate(
+    title='ONGC wells history', 
+    sidebar=[pn.pane.Markdown("# Onshore well test history since 2021"), 
+             pn.pane.Markdown("## Settings")],
+    main=[pn.Row(pn.Column(select_Asset, select_Year, select_month, well_itable.panel(width=400), margin=(0,25,0,25)),
+                 pn.Column(yaxis_wells, select_Wells, wells_plot.panel(width=450), margin=(0,25))),
+          pn.Row(pn.Column(select_Asset, select_Year, select_month, well_itable1.panel(width=400), margin=(0,25,0,25)),
+                 pn.Column(yaxis_wells1, select_Wells, wells_plot1.panel(width=450), margin=(0,25)))
+         ],
+    accent_base_color="#88d8b0",
+    header_background="#88d8b0",
+    sidebar_width=100
+)
+# template.show()
+template.servable()

requirements.txt

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+panel
+hvplot
+openpyxl
+pandas
+numpy