chore: don't use numpy deprecated NaN

pyproject.toml

@@ -91,6 +91,7 @@ extend-select = [
   # "RSE",  # flake8-raise
   # "TCH",  # flake8-type-checking
   # "PTH",  # flake8-use-pathlib
+  "NPY",    # numpy
 ]
 
 

technical/bouncyhouse.py

@@ -56,7 +56,7 @@ def bounce(dataframe: DataFrame, level):
 
     open = dataframe["open"]
     close = dataframe["close"]
-    touch = shift(touches(dataframe, level), 1, cval=np.NAN)
+    touch = shift(touches(dataframe, level), 1, cval=np.nan)
 
     return np.vectorize(_bounce)(open, close, level, touch)
 

technical/candles.py

@@ -51,7 +51,7 @@ def heikinashi(bars):
     )
     result["candle"] = np.vectorize(_candle_type)(result["open"], result["close"])
     result["reversal"] = np.vectorize(_reversal)(
-        result["candle"], shift(result["candle"], 1, cval=np.NAN)
+        result["candle"], shift(result["candle"], 1, cval=np.nan)
     )
 
     result["lower_wick"] = np.vectorize(_wick_length)(

technical/indicators/indicators.py

@@ -1110,7 +1110,7 @@ def SSLChannels(dataframe, length=10, mode="sma"):
         ma_high = ta.EMA(df["high"], length)
         ma_low = ta.EMA(df["low"], length)
 
-    df["hlv"] = np.where(df["close"] > ma_high, 1, np.where(df["close"] < ma_low, -1, np.NAN))
+    df["hlv"] = np.where(df["close"] > ma_high, 1, np.where(df["close"] < ma_low, -1, np.nan))
     df["hlv"] = df["hlv"].ffill()
 
     df["sslDown"] = np.where(df["hlv"] < 0, ma_high, ma_low)
@@ -1237,7 +1237,7 @@ def PMAX(dataframe, period=10, multiplier=3, length=12, MAtype=1, src=1):  # noq
         )
 
     # Mark the trend direction up/down
-    df[pmx] = np.where((df[pm] > 0.00), np.where((df[mavalue] < df[pm]), "down", "up"), np.NaN)
+    df[pmx] = np.where((df[pm] > 0.00), np.where((df[mavalue] < df[pm]), "down", "up"), np.nan)
     # Remove basic and final bands from the columns
     df.drop(["basic_ub", "basic_lb", "final_ub", "final_lb", mavalue], inplace=True, axis=1)