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Update index_live_html.py
Browse files- index_live_html.py +39 -115
index_live_html.py
CHANGED
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@@ -3,12 +3,14 @@ from nsepython import *
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import pandas as pd
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def build_index_live_html():
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-
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full_df = p.get("data", pd.DataFrame())
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rem_df = p.get("rem", pd.DataFrame())
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print(rem_df)
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print(full_df)
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if full_df.empty:
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main_df = pd.DataFrame()
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const_df = pd.DataFrame()
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@@ -18,13 +20,13 @@ def build_index_live_html():
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if not const_df.empty:
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const_df = const_df.iloc[:, 1:] # Remove first column
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#
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move_to_info = [c for c in ['segment', 'equityTime', 'preOpenTime'] if c in const_df.columns]
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if move_to_info:
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rem_df = pd.concat([rem_df, const_df[move_to_info].iloc[[0]]], axis=1)
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const_df = const_df.drop(columns=move_to_info)
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# Drop
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drop_cols_const = [
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"identifier", "ffmc", "stockIndClosePrice", "lastUpdateTime",
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"chartTodayPath", "chart30dPath", "chart365dPath", "series",
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@@ -35,7 +37,7 @@ def build_index_live_html():
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]
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const_df = const_df.drop(columns=[c for c in drop_cols_const if c in const_df.columns])
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# Drop
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drop_cols_main = [
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"series", "symbol_meta", "companyName", "industry", "activeSeries", "debtSeries",
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"isFNOSec", "isCASec", "isSLBSec", "isDebtSec", "isSuspended", "tempSuspendedSeries",
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@@ -44,16 +46,17 @@ def build_index_live_html():
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]
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main_df = main_df.drop(columns=[c for c in drop_cols_main if c in main_df.columns])
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#
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if 'pChange' in const_df.columns:
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const_df['pChange'] = pd.to_numeric(const_df['pChange'], errors='coerce')
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const_df = const_df.sort_values('pChange', ascending=False)
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#
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def df_to_html_color(df, metric_col=None):
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df_html = df.copy()
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top3_up = []
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top3_down = []
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if metric_col and metric_col in df_html.columns and pd.api.types.is_numeric_dtype(df_html[metric_col]):
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col_numeric = df_html[metric_col].dropna()
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top3_up = col_numeric.nlargest(3).index.tolist()
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@@ -63,45 +66,47 @@ def build_index_live_html():
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for col in df_html.columns:
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val = row[col]
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style = ""
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val_fmt = f"{val:.2f}"
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if val > 0:
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style = "numeric-positive"
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elif val < 0:
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style = "numeric-negative"
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if metric_col and col == metric_col:
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if idx in top3_up:
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style += " top-up"
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elif idx in top3_down:
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style += " top-down"
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df_html.at[idx, col] = f'<span class="{style.strip()}">{val_fmt}</span>'
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else:
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df_html.at[idx, col] = str(val)
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return df_html.to_html(index=False, escape=False, classes="compact-table")
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#
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def merge_info_main_cards(rem_df, main_df):
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combined = pd.concat([rem_df, main_df], axis=1)
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# Remove duplicate columns
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combined = combined.loc[:, ~combined.columns.duplicated()]
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-
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for col in combined.columns:
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val = combined.at[0, col] if not combined.empty else ""
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-
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<div class="mini-card">
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<div class="card-key">{col}</div>
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<div class="card-val">{val}</div>
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</div>
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return
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info_cards_html = merge_info_main_cards(rem_df, main_df)
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-
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cons_html = df_to_html_color(const_df)
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#
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metric_cols = [
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"pChange", "totalTradedValue", "nearWKH", "nearWKL",
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"perChange365d", "perChange30d"
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@@ -115,6 +120,7 @@ def build_index_live_html():
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df_const = const_df.copy()
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df_const[col] = pd.to_numeric(df_const[col], errors="ignore")
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df_const = df_const.sort_values(col, ascending=False)
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df_html = df_to_html_color(df_const[['symbol', col]], metric_col=col)
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metric_tables += f"""
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</div>
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"""
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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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<style>
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body {{
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font-family: Arial;
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margin: 12px;
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@@ -139,127 +145,47 @@ body {{
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color: #222;
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font-size: 14px;
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}}
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-
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h2, h3 {{
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margin: 12px 0 6px 0;
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font-weight: 600;
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}}
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-
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table {{
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border-collapse: collapse;
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width: 100%;
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table-layout: auto;
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}}
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-
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th, td {{
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border: 1px solid #bbb;
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padding: 5px 8px;
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text-align: left;
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font-size: 13px;
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}}
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th {{
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background: #333;
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color: white;
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font-weight: 600;
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}}
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-
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.compact-table td.numeric-positive {{
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color: green;
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font-weight: bold;
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}}
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.compact-table td.numeric-negative {{
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color: red;
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font-weight: bold;
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}}
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-
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/* Highlight top 3 gainers / losers */
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.compact-table td.top-up {{
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background: #a8f0a5; /* light green */
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}}
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.compact-table td.top-down {{
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background: #f0a8a8; /* light red */
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}}
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}}
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.small-table {{
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background: white;
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border-radius: 6px;
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padding: 8px;
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box-shadow: 0px 1px 4px rgba(0,0,0,0.15);
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border: 1px solid #ddd;
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overflow-y: auto;
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}}
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-
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.st-title {{
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font-size: 14px;
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text-align: center;
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margin-bottom: 6px;
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font-weight: bold;
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background: #222;
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color: white;
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padding: 5px
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border-radius: 4px;
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}}
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-
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.st-body {{
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max-height: 300px;
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overflow-y: auto;
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font-size: 12px;
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}}
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.compact-section {{
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background: white;
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padding: 8px;
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border-radius: 6px;
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box-shadow: 0 1px 4px rgba(0,0,0,0.12);
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border: 1px solid #ddd;
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margin-bottom: 15px;
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overflow-x: visible;
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}}
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.grid {{
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display: grid;
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grid-template-columns: repeat(5, 1fr);
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gap: 12px;
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margin-top: 12px;
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}}
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/* Mini cards for info + main */
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.mini-card-container {{
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display: flex;
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flex-wrap: wrap;
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gap: 10px;
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}}
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.mini-card {{
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background: #fff;
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padding: 8px 10px;
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border-radius: 6px;
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box-shadow: 0 1px 3px rgba(0,0,0,0.12);
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min-width: 120px;
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font-size: 13px;
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}}
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.card-key {{
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font-weight: bold;
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color: #333;
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margin-bottom: 2px;
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}}
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.card-val {{
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color: #222;
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}}
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</style>
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</head>
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<body>
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<h2>Live Index Data:
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<div class="compact-section">
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<h3>Index Info + Main Data</h3>
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@@ -268,9 +194,7 @@ th {{
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<div class="compact-section">
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<h3>Constituents</h3>
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{cons_html}
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</div>
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</div>
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<h3>Metric Tables (All Symbols)</h3>
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import pandas as pd
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def build_index_live_html():
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index_name = "NIFTY 50"
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p = nse_index_live(index_name)
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full_df = p.get("data", pd.DataFrame())
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rem_df = p.get("rem", pd.DataFrame())
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print(rem_df)
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print(full_df)
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+
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if full_df.empty:
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main_df = pd.DataFrame()
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const_df = pd.DataFrame()
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if not const_df.empty:
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const_df = const_df.iloc[:, 1:] # Remove first column
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# Move segment / time cols
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move_to_info = [c for c in ['segment', 'equityTime', 'preOpenTime'] if c in const_df.columns]
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if move_to_info:
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rem_df = pd.concat([rem_df, const_df[move_to_info].iloc[[0]]], axis=1)
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const_df = const_df.drop(columns=move_to_info)
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# Drop cols (constituents)
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drop_cols_const = [
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"identifier", "ffmc", "stockIndClosePrice", "lastUpdateTime",
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"chartTodayPath", "chart30dPath", "chart365dPath", "series",
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]
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const_df = const_df.drop(columns=[c for c in drop_cols_const if c in const_df.columns])
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# Drop cols (main)
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drop_cols_main = [
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"series", "symbol_meta", "companyName", "industry", "activeSeries", "debtSeries",
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"isFNOSec", "isCASec", "isSLBSec", "isDebtSec", "isSuspended", "tempSuspendedSeries",
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]
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main_df = main_df.drop(columns=[c for c in drop_cols_main if c in main_df.columns])
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# Sort by pChange
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if 'pChange' in const_df.columns:
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const_df['pChange'] = pd.to_numeric(const_df['pChange'], errors='coerce')
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const_df = const_df.sort_values('pChange', ascending=False)
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# ===== Helper: Convert DF to color-coded HTML =====
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def df_to_html_color(df, metric_col=None):
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df_html = df.copy()
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top3_up = []
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top3_down = []
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+
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if metric_col and metric_col in df_html.columns and pd.api.types.is_numeric_dtype(df_html[metric_col]):
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col_numeric = df_html[metric_col].dropna()
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top3_up = col_numeric.nlargest(3).index.tolist()
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for col in df_html.columns:
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val = row[col]
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style = ""
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if isinstance(val, (int, float)) or pd.api.types.is_number(val):
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val_fmt = f"{val:.2f}"
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if val > 0:
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style = "numeric-positive"
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elif val < 0:
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style = "numeric-negative"
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if metric_col and col == metric_col:
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if idx in top3_up:
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style += " top-up"
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elif idx in top3_down:
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style += " top-down"
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df_html.at[idx, col] = f'<span class="{style.strip()}">{val_fmt}</span>'
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else:
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df_html.at[idx, col] = str(val)
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return df_html.to_html(index=False, escape=False, classes="compact-table")
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# ===== Merge info + main into cards =====
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def merge_info_main_cards(rem_df, main_df):
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combined = pd.concat([rem_df, main_df], axis=1)
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combined = combined.loc[:, ~combined.columns.duplicated()]
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html = '<div class="mini-card-container">'
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for col in combined.columns:
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val = combined.at[0, col] if not combined.empty else ""
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html += f"""
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<div class="mini-card">
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<div class="card-key">{col}</div>
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<div class="card-val">{val}</div>
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</div>
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"""
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html += "</div>"
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return html
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info_cards_html = merge_info_main_cards(rem_df, main_df)
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cons_html = df_to_html_color(const_df)
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# ===== Metric tables =====
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metric_cols = [
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"pChange", "totalTradedValue", "nearWKH", "nearWKL",
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"perChange365d", "perChange30d"
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df_const = const_df.copy()
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df_const[col] = pd.to_numeric(df_const[col], errors="ignore")
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df_const = df_const.sort_values(col, ascending=False)
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df_html = df_to_html_color(df_const[['symbol', col]], metric_col=col)
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metric_tables += f"""
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</div>
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"""
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# ===== FINAL HTML =====
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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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<style>
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/* CSS unchanged */
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body {{
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font-family: Arial;
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margin: 12px;
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color: #222;
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font-size: 14px;
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}}
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table {{
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border-collapse: collapse;
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width: 100%;
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}}
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th, td {{
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border: 1px solid #bbb;
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padding: 5px 8px;
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}}
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.compact-table td.numeric-positive {{ color: green; font-weight: bold; }}
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.compact-table td.numeric-negative {{ color: red; font-weight: bold; }}
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.compact-table td.top-up {{ background: #a8f0a5; }}
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.compact-table td.top-down {{ background: #f0a8a8; }}
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.mini-card-container {{ display: flex; flex-wrap: wrap; gap: 10px; }}
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.mini-card {{
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background: #fff; padding: 8px; border-radius: 6px;
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box-shadow: 0 1px 3px rgba(0,0,0,0.12);
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}}
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.card-key {{ font-weight: bold; }}
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.grid {{ display: grid; grid-template-columns: repeat(5, 1fr); gap: 12px; }}
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.small-table {{
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background: white;
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border-radius: 6px;
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padding: 8px;
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box-shadow: 0px 1px 4px rgba(0,0,0,0.15);
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}}
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.st-title {{
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text-align: center;
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background: #222;
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color: white;
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padding: 5px;
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border-radius: 4px;
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}}
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.st-body {{
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max-height: 300px;
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overflow-y: auto;
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| 183 |
}}
|
| 184 |
</style>
|
| 185 |
</head>
|
| 186 |
<body>
|
| 187 |
|
| 188 |
+
<h2>Live Index Data: NIFTY 50</h2>
|
| 189 |
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| 190 |
<div class="compact-section">
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| 191 |
<h3>Index Info + Main Data</h3>
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| 194 |
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| 195 |
<div class="compact-section">
|
| 196 |
<h3>Constituents</h3>
|
| 197 |
+
{cons_html}
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| 198 |
</div>
|
| 199 |
|
| 200 |
<h3>Metric Tables (All Symbols)</h3>
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