Fix types for numpy 1.20.0 upgrade

freqtrade/data/btanalysis.py

@@ -312,7 +312,7 @@ def calculate_market_change(data: Dict[str, pd.DataFrame], column: str = "close"
         end = df[column].dropna().iloc[-1]
         tmp_means.append((end - start) / start)
 
-    return np.mean(tmp_means)
+    return float(np.mean(tmp_means))
 
 
 def combine_dataframes_with_mean(data: Dict[str, pd.DataFrame],

freqtrade/misc.py

@@ -9,7 +9,6 @@ from pathlib import Path
 from typing import Any
 from typing.io import IO
 
-import numpy as np
 import rapidjson
 
 
@@ -28,20 +27,6 @@ def shorten_date(_date: str) -> str:
     return new_date
 
 
-############################################
-# Used by scripts                          #
-# Matplotlib doesn't support ::datetime64, #
-# so we need to convert it into ::datetime #
-############################################
-def datesarray_to_datetimearray(dates: np.ndarray) -> np.ndarray:
-    """
-    Convert an pandas-array of timestamps into
-    An numpy-array of datetimes
-    :return: numpy-array of datetime
-    """
-    return dates.dt.to_pydatetime()
-
-
 def file_dump_json(filename: Path, data: Any, is_zip: bool = False, log: bool = True) -> None:
     """
     Dump JSON data into a file

freqtrade/rpc/rpc.py

@@ -378,7 +378,7 @@ class RPC:
 
         # Prepare data to display
         profit_closed_coin_sum = round(sum(profit_closed_coin), 8)
-        profit_closed_ratio_mean = mean(profit_closed_ratio) if profit_closed_ratio else 0.0
+        profit_closed_ratio_mean = float(mean(profit_closed_ratio) if profit_closed_ratio else 0.0)
         profit_closed_ratio_sum = sum(profit_closed_ratio) if profit_closed_ratio else 0.0
 
         profit_closed_fiat = self._fiat_converter.convert_amount(
@@ -388,7 +388,7 @@ class RPC:
         ) if self._fiat_converter else 0
 
         profit_all_coin_sum = round(sum(profit_all_coin), 8)
-        profit_all_ratio_mean = mean(profit_all_ratio) if profit_all_ratio else 0.0
+        profit_all_ratio_mean = float(mean(profit_all_ratio) if profit_all_ratio else 0.0)
         profit_all_ratio_sum = sum(profit_all_ratio) if profit_all_ratio else 0.0
         profit_all_fiat = self._fiat_converter.convert_amount(
             profit_all_coin_sum,