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,

tests/test_misc.py

@@ -6,11 +6,9 @@ from unittest.mock import MagicMock
 
 import pytest
 
-from freqtrade.data.converter import ohlcv_to_dataframe
+from freqtrade.misc import (file_dump_json, file_load_json, format_ms_time, pair_to_filename,
-from freqtrade.misc import (datesarray_to_datetimearray, file_dump_json, file_load_json,
+                            plural, render_template, render_template_with_fallback,
-                            format_ms_time, pair_to_filename, plural, render_template,
+                            safe_value_fallback, safe_value_fallback2, shorten_date)
-                            render_template_with_fallback, safe_value_fallback,
-                            safe_value_fallback2, shorten_date)
 
 
 def test_shorten_date() -> None:
@@ -19,22 +17,6 @@ def test_shorten_date() -> None:
     assert shorten_date(str_data) == str_shorten_data
 
 
-def test_datesarray_to_datetimearray(ohlcv_history_list):
-    dataframes = ohlcv_to_dataframe(ohlcv_history_list, "5m", pair="UNITTEST/BTC",
-                                    fill_missing=True)
-    dates = datesarray_to_datetimearray(dataframes['date'])
-
-    assert isinstance(dates[0], datetime.datetime)
-    assert dates[0].year == 2017
-    assert dates[0].month == 11
-    assert dates[0].day == 26
-    assert dates[0].hour == 8
-    assert dates[0].minute == 50
-
-    date_len = len(dates)
-    assert date_len == 2
-
-
 def test_file_dump_json(mocker) -> None:
     file_open = mocker.patch('freqtrade.misc.open', MagicMock())
     json_dump = mocker.patch('rapidjson.dump', MagicMock())