alihan/yfinance
1
0
Fork 0
mirror of https://github.com/ranaroussi/yfinance.git synced 2024-01-29 09:38:56 +03:00
Code Issues Packages Projects Releases Wiki Activity

Merge pull request #1824 from ranaroussi/fix/price-keepna-with-repair

Browse Source 
Fix history() keepna=False with repair=True
This commit is contained in:
ValueRaider
2024-01-19 21:51:10 +00:00
committed by GitHub
parent d00c1a976c 6686258e66
commit f1264716fc
1 changed files with 6 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files

10
yfinance/base.py
View File

@@ -42,7 +42,7 @@ from .scrapers.fundamentals import Fundamentals
from .scrapers.holders import Holders
from .scrapers.quote import Quote, FastInfo
from .const import _BASE_URL_, _ROOT_URL_
from .const import _BASE_URL_, _ROOT_URL_, price_colnames
class TickerBase:
@@ -426,7 +426,9 @@ class TickerBase:
if not actions:
df = df.drop(columns=["Dividends", "Stock Splits", "Capital Gains"], errors='ignore')
if not keepna:
mask_nan_or_zero = (df.isna() | (df == 0)).all(axis=1)
data_colnames = price_colnames + ['Volume'] + ['Dividends', 'Stock Splits', 'Capital Gains']
data_colnames = [c for c in data_colnames if c in df.columns]
mask_nan_or_zero = (df[data_colnames].isna() | (df[data_colnames] == 0)).all(axis=1)
df = df.drop(mask_nan_or_zero.index[mask_nan_or_zero])
logger.debug(f'{self.ticker}: yfinance returning OHLC: {df.index[0]} -> {df.index[-1]}')
@@ -455,7 +457,7 @@ class TickerBase:
else:
intraday = True
price_cols = [c for c in ["Open", "High", "Low", "Close", "Adj Close"] if c in df]
price_cols = [c for c in price_colnames if c in df]
data_cols = price_cols + ["Volume"]
# If interval is weekly then can construct with daily. But if smaller intervals then
@@ -1011,7 +1013,7 @@ class TickerBase:
elif df2.index.tz != tz_exchange:
df2.index = df2.index.tz_convert(tz_exchange)
price_cols = [c for c in ["Open", "High", "Low", "Close", "Adj Close"] if c in df2.columns]
price_cols = [c for c in price_colnames if c in df2.columns]
f_prices_bad = (df2[price_cols] == 0.0) | df2[price_cols].isna()
df2_reserve = None
if intraday: