chore: import upstream snapshot with attribution
This commit is contained in:
@@ -0,0 +1,87 @@
|
||||
/*
|
||||
* 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 Python.Runtime;
|
||||
using QuantConnect.Python;
|
||||
using QuantConnect.Securities;
|
||||
using System;
|
||||
using System.Collections.Generic;
|
||||
using System.Linq;
|
||||
|
||||
namespace QuantConnect.Data.Market
|
||||
{
|
||||
/// <summary>
|
||||
/// Collection of <see cref="BaseChain{T, TContractsCollection}"/> keyed by canonical option symbol
|
||||
/// </summary>
|
||||
public class BaseChains<T, TContract, TContractsCollection> : DataDictionary<T>
|
||||
where T : BaseChain<TContract, TContractsCollection>
|
||||
where TContract : BaseContract
|
||||
where TContractsCollection : DataDictionary<TContract>, new()
|
||||
{
|
||||
private static readonly IEnumerable<string> _flattenedDfIndexNames = new[] { "canonical", "symbol" };
|
||||
|
||||
private readonly Lazy<PyObject> _dataframe;
|
||||
private readonly bool _flatten;
|
||||
|
||||
/// <summary>
|
||||
/// The data frame representation of the option chains
|
||||
/// </summary>
|
||||
public PyObject DataFrame => _dataframe.Value;
|
||||
|
||||
/// <summary>
|
||||
/// Creates a new instance of the <see cref="BaseChains{T, TContract, TContractsCollection}"/> dictionary
|
||||
/// </summary>
|
||||
protected BaseChains()
|
||||
: this(default, true)
|
||||
{
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// Creates a new instance of the <see cref="BaseChains{T, TContract, TContractsCollection}"/> dictionary
|
||||
/// </summary>
|
||||
protected BaseChains(bool flatten)
|
||||
: this(default, flatten)
|
||||
{
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// Creates a new instance of the <see cref="BaseChains{T, TContract, TContractsCollection}"/> dictionary
|
||||
/// </summary>
|
||||
protected BaseChains(DateTime time, bool flatten)
|
||||
: base(time)
|
||||
{
|
||||
_flatten = flatten;
|
||||
_dataframe = new Lazy<PyObject>(InitializeDataFrame, isThreadSafe: false);
|
||||
}
|
||||
|
||||
private PyObject InitializeDataFrame()
|
||||
{
|
||||
if (!PythonEngine.IsInitialized)
|
||||
{
|
||||
return null;
|
||||
}
|
||||
|
||||
var dataFrames = this.Select(kvp => kvp.Value.DataFrame).ToList();
|
||||
|
||||
if (_flatten)
|
||||
{
|
||||
var canonicalSymbols = this.Select(kvp => kvp.Key);
|
||||
return PandasConverter.ConcatDataFrames(dataFrames, keys: canonicalSymbols, names: _flattenedDfIndexNames, sort: false);
|
||||
}
|
||||
|
||||
return PandasConverter.ConcatDataFrames(dataFrames, sort: false);
|
||||
}
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user