Files
2026-07-13 13:02:50 +08:00

102 lines
3.1 KiB
C#

/*
* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*/
using System;
using NUnit.Framework;
using Python.Runtime;
using static QLNet.NumericHaganPricer;
namespace QuantConnect.Tests.Python
{
[TestFixture]
// TODO: Rename to PandasPythonTests, dedicate class to python tests under ./PandasTests directory
public class PandasIndexingTests
{
private dynamic _module;
private dynamic _pandasIndexingTests;
private dynamic _pandasDataFrameTests;
[SetUp]
public void Setup()
{
using (Py.GIL())
{
_module = Py.Import("PandasIndexingTests");
_pandasIndexingTests = _module.PandasIndexingTests();
_pandasDataFrameTests = _module.PandasDataFrameTests();
}
}
[Test]
public void IndexingDataFrameWithList()
{
using (Py.GIL())
{
Assert.DoesNotThrow((() => _pandasIndexingTests.test_indexing_dataframe_with_list()));
}
}
[Test]
public void ContainsUserMappedTickers()
{
using (Py.GIL())
{
PyObject result = _pandasDataFrameTests.test_contains_user_mapped_ticker();
var test = result.As<bool>();
Assert.IsTrue(test);
}
}
[TestCase("SPY WhatEver")]
[TestCase("Sharpe ratio")]
public void ContainsUserDefinedColumnsWithSpaces(string columnName)
{
using (Py.GIL())
{
PyObject result = _pandasDataFrameTests.test_contains_user_defined_columns_with_spaces(columnName);
var test = result.As<bool>();
Assert.IsTrue(test);
}
}
[Test]
public void ExpectedException()
{
using (Py.GIL())
{
PyObject result = _pandasDataFrameTests.test_expected_exception();
var exception = result.As<string>();
Assert.IsTrue(exception.Contains("No key found for either mapped or original key.", StringComparison.InvariantCulture), exception);
}
}
[Test]
public void ColumnEqualsOnlyMatchingString()
{
using (Py.GIL())
{
PyObject result = _pandasDataFrameTests.test_column_equals_only_matching_string();
var test = result.As<bool>();
Assert.IsTrue(test);
}
}
}
}