mohammadian7/freqtrade
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Merge pull request #13048 from freqtrade/dependabot/pip/develop/pandas-3.0.2

Browse Source 
chore(deps): bump pandas from 2.3.3 to 3.0.2
This commit is contained in:
Matthias
2026-04-17 06:21:04 +02:00
committed by GitHub
parent ee65ffc68f 2c5dc72985
commit c1795c79f3
10 changed files with 29 additions and 21 deletions
Download Patch File Download Diff File Expand all files Collapse all files
tests/conftest.py
+6 -6
View File
@@ -176,20 +176,20 @@ def generate_test_data(
base = np.random.normal(base, 2, size=size)
if timeframe == "1y":
date = pd.date_range(start, periods=size, freq="1YS", tz="UTC")
date = pd.date_range(start, periods=size, freq="1YS", tz="UTC", unit="ms")
elif timeframe == "1M":
date = pd.date_range(start, periods=size, freq="1MS", tz="UTC")
date = pd.date_range(start, periods=size, freq="1MS", tz="UTC", unit="ms")
elif timeframe == "3M":
date = pd.date_range(start, periods=size, freq="3MS", tz="UTC")
date = pd.date_range(start, periods=size, freq="3MS", tz="UTC", unit="ms")
elif timeframe == "1w" or timeframe == "7d":
date = pd.date_range(start, periods=size, freq="1W-MON", tz="UTC")
date = pd.date_range(start, periods=size, freq="1W-MON", tz="UTC", unit="ms")
else:
tf_mins = timeframe_to_minutes(timeframe)
if tf_mins >= 1:
date = pd.date_range(start, periods=size, freq=f"{tf_mins}min", tz="UTC")
date = pd.date_range(start, periods=size, freq=f"{tf_mins}min", tz="UTC", unit="ms")
else:
tf_secs = timeframe_to_seconds(timeframe)
date = pd.date_range(start, periods=size, freq=f"{tf_secs}s", tz="UTC")
date = pd.date_range(start, periods=size, freq=f"{tf_secs}s", tz="UTC", unit="ms")
df = pd.DataFrame(
{
"date": date,
tests/data/test_converter.py
+5 -2
View File
@@ -207,10 +207,13 @@ def test_ohlcv_to_dataframe_multi(timeframe):
data1 = data.copy()
if timeframe in ("1M", "3M", "1y"):
data1.loc[:, "date"] = data1.loc[:, "date"] + pd.to_timedelta("1w")
data1.loc[:, "date"] = data1.loc[:, "date"] + pd.to_timedelta("1W")
else:
# Shift by half a timeframe
data1.loc[:, "date"] = data1.loc[:, "date"] + (pd.to_timedelta(timeframe) / 2)
timeframe_f = (
timeframe.upper() if timeframe.endswith("d") or timeframe.endswith("w") else timeframe
)
data1.loc[:, "date"] = data1.loc[:, "date"] + (pd.to_timedelta(timeframe_f) / 2)
df2 = ohlcv_to_dataframe(data1, timeframe, "UNITTEST/USDT")
assert len(df2) == len(data) - 1
tests/optimize/test_backtesting.py
+3
View File
@@ -860,6 +860,9 @@ def test_backtest_one(default_conf, mocker, testdatadir) -> None:
"funding_fees": [0.0, 0.0],
}
)
# TODO: pandas3 - create correctly above ?!?
expected["open_date"] = expected["open_date"].astype("datetime64[ms, UTC]")
expected["close_date"] = expected["close_date"].astype("datetime64[ms, UTC]")
pd.testing.assert_frame_equal(results, expected)
assert "orders" in results.columns
data_pair = processed[pair]
tests/optimize/test_backtesting_adjust_position.py
+3
View File
@@ -83,6 +83,9 @@ def test_backtest_position_adjustment(default_conf, fee, mocker, testdatadir) ->
"funding_fees": [0.0, 0.0],
}
)
# TODO: pandas3 - create correctly above ?!?
expected["open_date"] = expected["open_date"].astype("datetime64[ms, UTC]")
expected["close_date"] = expected["close_date"].astype("datetime64[ms, UTC]")
results_no = results.drop(columns=["orders"])
pd.testing.assert_frame_equal(results_no, expected, check_exact=True)