REF: Avoid deprecated pandas.Index.is_all_dates

Author: kernc

backtesting/_plotting.py

@@ -174,7 +174,7 @@ def plot(*, results: pd.Series,
     plot_equity = plot_equity and not trades.empty
     plot_return = plot_return and not trades.empty
     plot_pl = plot_pl and not trades.empty
-    is_datetime_index = df.index.is_all_dates
+    is_datetime_index = isinstance(df.index, pd.DatetimeIndex)
 
     from .lib import OHLCV_AGG
     # ohlc df may contain many columns. We're only interested in, and pass on to Bokeh, these

backtesting/backtesting.py

@@ -1039,7 +1039,7 @@ def __init__(self,
         data = data.copy(deep=False)
 
         # Convert index to datetime index
-        if (not data.index.is_all_dates and
+        if (not isinstance(data.index, pd.DatetimeIndex) and
             not isinstance(data.index, pd.RangeIndex) and
             # Numeric index with most large numbers
             (data.index.is_numeric() and
@@ -1070,7 +1070,7 @@ def __init__(self,
             warnings.warn('Data index is not sorted in ascending order. Sorting.',
                           stacklevel=2)
             data = data.sort_index()
-        if not data.index.is_all_dates:
+        if not isinstance(data.index, pd.DatetimeIndex):
             warnings.warn('Data index is not datetime. Assuming simple periods, '
                           'but `pd.DateTimeIndex` is advised.',
                           stacklevel=2)
@@ -1556,7 +1556,7 @@ def geometric_mean(returns):
 
         day_returns = gmean_day_return = np.array(np.nan)
         annual_trading_days = np.nan
-        if index.is_all_dates:
+        if isinstance(index, pd.DatetimeIndex):
             day_returns = equity_df['Equity'].resample('D').last().dropna().pct_change()
             gmean_day_return = geometric_mean(day_returns)
             annual_trading_days = float(

backtesting/lib.py

@@ -282,7 +282,7 @@ def wrap_func(resampled, *args, **kwargs):
             elif result.ndim == 2:
                 result = pd.DataFrame(result.T)
         # Resample back to data index
-        if not result.index.is_all_dates:
+        if not isinstance(result.index, pd.DatetimeIndex):
             result.index = resampled.index
         result = result.reindex(index=series.index | resampled.index,
                                 method='ffill').reindex(series.index)