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eshan6704 commited on
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1 Parent(s): af0744d

Update nsepython.py

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  1. nsepython.py +0 -228
nsepython.py CHANGED
@@ -216,231 +216,3 @@ def stock_hist(f,t,symbol,series="ALL"):
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  def nse_index_live(name="NIFTY 50"):
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  p=nsefetch(f"https://www.nseindia.com/api/equity-stockIndices?index={name.replace(' ','%20')}")
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  return {"data":df_from_data(p.pop("data")) if "data" in p else pd.DataFrame(), "rem":df_from_data([p])}
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- def indices_list():
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- indices
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-
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- import json
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-
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- def build_indices_html():
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-
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- p=indices()
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-
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- data_df = p["data"]
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- dates_df = p["dates"]
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-
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- # Convert to JSON for JS
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- data_json = json.dumps(data_df.to_dict(orient="records"), ensure_ascii=False)
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- dates_json = json.dumps(dates_df.to_dict(orient="records"), ensure_ascii=False)
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-
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- DEFAULT_KEY = "INDICES ELIGIBLE IN DERIVATIVES"
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- DEFAULT_SYMBOL = "NIFTY 50"
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-
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- html = f"""
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- <!DOCTYPE html>
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- <html>
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- <head>
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- <meta charset="UTF-8">
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- <title>NSE Indices Dashboard</title>
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-
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- <style>
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- body {{
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- font-family: Arial, sans-serif;
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- padding: 20px;
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- }}
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- .scroll-table {{
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- width: 100%;
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- overflow: auto;
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- border: 1px solid #ccc;
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- max-height: 450px;
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- margin-bottom: 20px;
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- }}
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- table {{
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- border-collapse: collapse;
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- width: max-content;
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- min-width: 100%;
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- }}
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- th, td {{
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- border: 1px solid #ddd;
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- padding: 8px;
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- white-space: nowrap;
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- }}
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- th {{
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- background-color: #007bff;
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- color: white;
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- position: sticky;
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- top: 0;
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- z-index: 5;
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- }}
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- #datesTable {{
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- margin-bottom: 25px;
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- width: max-content;
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- border: 1px solid #ccc;
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- }}
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-
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- .chart-grid {{
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- display: grid;
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- grid-template-columns: 1fr 1fr;
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- grid-template-rows: 200px 200px;
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- gap: 20px;
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- width: 100%;
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- }}
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-
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- .chart-box {{
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- width: 100%;
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- height: 100%;
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- border: 1px solid #ccc;
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- }}
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-
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- #chart365 {{
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- grid-column: 1 / 3;
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- }}
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-
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- select {{
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- padding: 6px;
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- margin: 8px 0;
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- }}
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- </style>
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-
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- </head>
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- <body>
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-
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- <h2>NSE Indices Dashboard</h2>
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-
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- <!-- DATES TABLE -->
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- <h3>Reference Dates</h3>
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- <table id="datesTable"></table>
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-
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- <hr>
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-
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- <!-- Dropdown for Key -->
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- <label><b>Select Index Category:</b></label>
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- <select id="keyDropdown"></select>
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-
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- <div id="altTableSection" class="scroll-table">
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- <table id="altTable"></table>
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- </div>
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-
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- <hr>
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-
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- <!-- Dropdown for Charts -->
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- <label><b>Select Index for Charts:</b></label>
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- <select id="chartDropdown"></select>
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-
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- <div class="chart-grid">
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- <iframe id="chartToday" class="chart-box"></iframe>
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- <iframe id="chart30" class="chart-box"></iframe>
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- <iframe id="chart365" class="chart-box"></iframe>
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- </div>
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-
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- <script>
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- const records = {data_json};
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- const dates = {dates_json};
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- const DEFAULT_KEY = "{DEFAULT_KEY}";
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- const DEFAULT_SYMBOL = "{DEFAULT_SYMBOL}";
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-
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- const keyDropdown = document.getElementById("keyDropdown");
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- const chartDropdown = document.getElementById("chartDropdown");
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-
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- // ------------------- Build Dates Table -------------------
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- function buildDatesTable() {{
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- const table = document.getElementById("datesTable");
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- const row = dates[0];
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- let header = "<tr>";
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- Object.keys(row).forEach(k => header += `<th>${{k}}</th>`);
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- header += "</tr>";
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- let body = "<tr>";
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- Object.values(row).forEach(v => body += `<td>${{v}}</td>`);
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- body += "</tr>";
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- table.innerHTML = header + body;
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- }}
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- buildDatesTable();
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-
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- // ------------------- Populate Key Dropdown -------------------
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- const keyList = [...new Set(records.map(r => r.key))];
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- keyList.forEach(k => {{
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- const opt = document.createElement("option");
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- opt.value = k;
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- opt.textContent = k;
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- if (k === DEFAULT_KEY) opt.selected = true;
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- keyDropdown.appendChild(opt);
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- }});
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-
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- // ------------------- Populate Chart Dropdown -------------------
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- function populateChartDropdown(keyVal) {{
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- chartDropdown.innerHTML = "";
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- records.filter(r => r.key === keyVal).forEach(r => {{
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- const opt = document.createElement("option");
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- opt.value = r.indexSymbol;
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- opt.textContent = r.index;
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- if (r.index === DEFAULT_SYMBOL) opt.selected = true;
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- chartDropdown.appendChild(opt);
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- }});
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- }}
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-
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- // ------------------- Build Filtered Table -------------------
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- function buildAltTable(keyName) {{
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- const table = document.getElementById("altTable");
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- const div = document.getElementById("altTableSection");
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-
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- const filtered = records.filter(r => r.key === keyName);
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- if (!filtered.length) {{
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- table.innerHTML = "<tr><td>No Data</td></tr>";
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- div.style.display = "none";
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- return;
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- }}
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-
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- const hiddenCols = [
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- "key", "chartTodayPath", "chart30dPath", "chart365dPath",
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- "date365dAgo","date30dAgo","previousDay","oneWeekAgo","oneMonthAgoVal",
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- "oneWeekAgoVal","oneYearAgoVal","index","indicativeClose"
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- ];
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-
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- const columns = Object.keys(filtered[0]).filter(c => !hiddenCols.includes(c));
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-
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- let header = "<tr>";
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- columns.forEach(c => header += `<th>${{c}}</th>`);
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- header += "</tr>";
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-
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- let rows = "";
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- filtered.forEach(obj => {{
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- rows += "<tr>";
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- columns.forEach(c => rows += `<td>${{obj[c]}}</td>`);
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- rows += "</tr>";
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- }});
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-
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- table.innerHTML = header + rows;
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- div.style.display = "block";
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- }}
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-
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- // ------------------- Load Charts -------------------
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- function loadCharts(symbol) {{
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- const row = records.find(r => r.indexSymbol === symbol);
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- if (!row) return;
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- document.getElementById("chartToday").src = row.chartTodayPath;
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- document.getElementById("chart30").src = row.chart30dPath;
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- document.getElementById("chart365").src = row.chart365dPath;
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- }}
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-
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- // Event listeners
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- keyDropdown.addEventListener("change", () => {{
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- const keyVal = keyDropdown.value;
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- buildAltTable(keyVal);
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- populateChartDropdown(keyVal);
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- loadCharts(chartDropdown.value);
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- }});
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-
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- chartDropdown.addEventListener("change", () => {{
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- loadCharts(chartDropdown.value);
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- }});
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-
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- // ------------------- Initial Load -------------------
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- buildAltTable(DEFAULT_KEY);
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- populateChartDropdown(DEFAULT_KEY);
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- loadCharts(records.find(r => r.index === DEFAULT_SYMBOL).indexSymbol);
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-
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- </script>
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-
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- </body>
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- </html>
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- """
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- return html
 
216
  def nse_index_live(name="NIFTY 50"):
217
  p=nsefetch(f"https://www.nseindia.com/api/equity-stockIndices?index={name.replace(' ','%20')}")
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  return {"data":df_from_data(p.pop("data")) if "data" in p else pd.DataFrame(), "rem":df_from_data([p])}