# split.py
import yfinance as yf
import pandas as pd
import pandas.api.types as ptypes
import datetime
# --- CSS for this module ---
STYLE_BLOCK = """
"""
def format_large_number(num):
if not isinstance(num, (int, float)):
return num
sign = '-' if num < 0 else ''
num = abs(float(num))
if num >= 1_000_000_000_000:
return f"{sign}{num / 1_000_000_000_000:.2f} LCr"
elif num >= 10_000_000:
return f"{sign}{num / 10_000_000:.2f} Cr"
elif num >= 100_000:
return f"{sign}{num / 100_000:.2f} Lac"
else:
return f"{sign}{num:,.0f}"
def fetch_split(symbol):
yfsymbol = f"{symbol}.NS"
try:
ticker = yf.Ticker(yfsymbol)
df = ticker.splits.to_frame('Split')
if df.empty:
content_html = f"No split history available for {symbol}
"
else:
# Format numeric columns
for col in df.columns:
if ptypes.is_numeric_dtype(df[col]):
df[col] = df[col].apply(format_large_number)
content_html = f"Stock Split History
{df.to_html(classes='styled-table', border=0)}"
except Exception as e:
content_html = f"Error
{str(e)}
"
full_html = f"""
Stock Split History for {symbol}
{STYLE_BLOCK}
{content_html}
"""
return full_html