137 lines
4.3 KiB
Plaintext
137 lines
4.3 KiB
Plaintext
---
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title: WikipediaDataProvider
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description: API reference for qiskit.finance.data_providers.WikipediaDataProvider
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in_page_toc_min_heading_level: 1
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python_api_type: class
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python_api_name: qiskit.finance.data_providers.WikipediaDataProvider
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---
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# WikipediaDataProvider
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<Class id="qiskit.finance.data_providers.WikipediaDataProvider" isDedicatedPage={true} github="https://github.com/qiskit-community/qiskit-aqua/tree/stable/0.9/qiskit/finance/data_providers/wikipedia_data_provider.py" signature="WikipediaDataProvider(token=None, tickers=None, start=datetime.datetime(2016, 1, 1, 0, 0), end=datetime.datetime(2016, 1, 30, 0, 0))" modifiers="class">
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Bases: `qiskit.finance.data_providers._base_data_provider.BaseDataProvider`
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Wikipedia data provider.
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Please see: [https://github.com/Qiskit/qiskit-tutorials/blob/master/tutorials/finance/11\_time\_series.ipynb](https://github.com/Qiskit/qiskit-tutorials/blob/master/tutorials/finance/11_time_series.ipynb) for instructions on use.
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Initializer :type token: `Optional`\[`str`] :param token: quandl access token, which is not needed, strictly speaking :type tickers: `Union`\[`str`, `List`\[`str`], `None`] :param tickers: tickers :type start: `datetime` :param start: start time :type end: `datetime` :param end: end time
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> **Raises:**
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>
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> MissingOptionalLibraryError: Quandl not installed
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## Methods
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### get\_coordinates
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<Function id="qiskit.finance.data_providers.WikipediaDataProvider.get_coordinates" signature="WikipediaDataProvider.get_coordinates()">
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Returns random coordinates for visualisation purposes.
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**Return type**
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`Tuple`\[`ndarray`, `ndarray`]
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</Function>
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### get\_covariance\_matrix
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<Function id="qiskit.finance.data_providers.WikipediaDataProvider.get_covariance_matrix" signature="WikipediaDataProvider.get_covariance_matrix()">
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Returns the covariance matrix.
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**Return type**
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`ndarray`
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**Returns**
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an asset-to-asset covariance matrix.
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**Raises**
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[**QiskitFinanceError**](qiskit.finance.QiskitFinanceError "qiskit.finance.QiskitFinanceError") – no data loaded
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</Function>
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### get\_mean\_vector
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<Function id="qiskit.finance.data_providers.WikipediaDataProvider.get_mean_vector" signature="WikipediaDataProvider.get_mean_vector()">
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Returns a vector containing the mean value of each asset.
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**Return type**
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`ndarray`
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**Returns**
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a per-asset mean vector.
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**Raises**
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[**QiskitFinanceError**](qiskit.finance.QiskitFinanceError "qiskit.finance.QiskitFinanceError") – no data loaded
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</Function>
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### get\_period\_return\_covariance\_matrix
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<Function id="qiskit.finance.data_providers.WikipediaDataProvider.get_period_return_covariance_matrix" signature="WikipediaDataProvider.get_period_return_covariance_matrix()">
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Returns a vector containing the mean value of each asset.
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**Return type**
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`ndarray`
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**Returns**
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a per-asset mean vector.
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**Raises**
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[**QiskitFinanceError**](qiskit.finance.QiskitFinanceError "qiskit.finance.QiskitFinanceError") – no data loaded
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</Function>
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### get\_period\_return\_mean\_vector
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<Function id="qiskit.finance.data_providers.WikipediaDataProvider.get_period_return_mean_vector" signature="WikipediaDataProvider.get_period_return_mean_vector()">
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Returns a vector containing the mean value of each asset.
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**Return type**
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`ndarray`
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**Returns**
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a per-asset mean vector.
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**Raises**
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[**QiskitFinanceError**](qiskit.finance.QiskitFinanceError "qiskit.finance.QiskitFinanceError") – no data loaded
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</Function>
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### get\_similarity\_matrix
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<Function id="qiskit.finance.data_providers.WikipediaDataProvider.get_similarity_matrix" signature="WikipediaDataProvider.get_similarity_matrix()">
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Returns time-series similarity matrix computed using dynamic time warping.
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**Return type**
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`ndarray`
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**Returns**
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an asset-to-asset similarity matrix.
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**Raises**
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[**QiskitFinanceError**](qiskit.finance.QiskitFinanceError "qiskit.finance.QiskitFinanceError") – no data loaded
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</Function>
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### run
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<Function id="qiskit.finance.data_providers.WikipediaDataProvider.run" signature="WikipediaDataProvider.run()">
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Loads data, thus enabling get\_similarity\_matrix and get\_covariance\_matrix methods in the base class.
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**Return type**
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`None`
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</Function>
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</Class>
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