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---
title: BaseDataProvider (v0.29)
description: API reference for qiskit.finance.data_providers.BaseDataProvider in qiskit v0.29
in_page_toc_min_heading_level: 1
python_api_type: class
python_api_name: qiskit.finance.data_providers.BaseDataProvider
---
# BaseDataProvider
<Class id="qiskit.finance.data_providers.BaseDataProvider" isDedicatedPage={true} github="https://github.com/qiskit-community/qiskit-aqua/tree/stable/0.9/qiskit/finance/data_providers/_base_data_provider.py" signature="BaseDataProvider" modifiers="class">
Bases: `abc.ABC`
The abstract base class for data\_provider modules within Qiskits finance module.
To create add-on data\_provider module subclass the BaseDataProvider class in this module. Doing so requires that the required driver interface is implemented.
To use the subclasses, please see [https://github.com/Qiskit/qiskit-tutorials/blob/stable/0.25.x/tutorials/finance/11\_time\_series.ipynb](https://github.com/Qiskit/qiskit-tutorials/blob/stable/0.25.x/tutorials/finance/11_time_series.ipynb)
## Methods
<span id="qiskit-finance-data-providers-basedataprovider-get-coordinates" />
### get\_coordinates
<Function id="qiskit.finance.data_providers.BaseDataProvider.get_coordinates" signature="BaseDataProvider.get_coordinates()">
Returns random coordinates for visualisation purposes.
**Return type**
`Tuple`\[`ndarray`, `ndarray`]
</Function>
<span id="qiskit-finance-data-providers-basedataprovider-get-covariance-matrix" />
### get\_covariance\_matrix
<Function id="qiskit.finance.data_providers.BaseDataProvider.get_covariance_matrix" signature="BaseDataProvider.get_covariance_matrix()">
Returns the covariance matrix.
**Return type**
`ndarray`
**Returns**
an asset-to-asset covariance matrix.
**Raises**
[**QiskitFinanceError**](qiskit.finance.QiskitFinanceError "qiskit.finance.QiskitFinanceError") no data loaded
</Function>
<span id="qiskit-finance-data-providers-basedataprovider-get-mean-vector" />
### get\_mean\_vector
<Function id="qiskit.finance.data_providers.BaseDataProvider.get_mean_vector" signature="BaseDataProvider.get_mean_vector()">
Returns a vector containing the mean value of each asset.
**Return type**
`ndarray`
**Returns**
a per-asset mean vector.
**Raises**
[**QiskitFinanceError**](qiskit.finance.QiskitFinanceError "qiskit.finance.QiskitFinanceError") no data loaded
</Function>
<span id="qiskit-finance-data-providers-basedataprovider-get-period-return-covariance-matrix" />
### get\_period\_return\_covariance\_matrix
<Function id="qiskit.finance.data_providers.BaseDataProvider.get_period_return_covariance_matrix" signature="BaseDataProvider.get_period_return_covariance_matrix()">
Returns a vector containing the mean value of each asset.
**Return type**
`ndarray`
**Returns**
a per-asset mean vector.
**Raises**
[**QiskitFinanceError**](qiskit.finance.QiskitFinanceError "qiskit.finance.QiskitFinanceError") no data loaded
</Function>
<span id="qiskit-finance-data-providers-basedataprovider-get-period-return-mean-vector" />
### get\_period\_return\_mean\_vector
<Function id="qiskit.finance.data_providers.BaseDataProvider.get_period_return_mean_vector" signature="BaseDataProvider.get_period_return_mean_vector()">
Returns a vector containing the mean value of each asset.
**Return type**
`ndarray`
**Returns**
a per-asset mean vector.
**Raises**
[**QiskitFinanceError**](qiskit.finance.QiskitFinanceError "qiskit.finance.QiskitFinanceError") no data loaded
</Function>
<span id="qiskit-finance-data-providers-basedataprovider-get-similarity-matrix" />
### get\_similarity\_matrix
<Function id="qiskit.finance.data_providers.BaseDataProvider.get_similarity_matrix" signature="BaseDataProvider.get_similarity_matrix()">
Returns time-series similarity matrix computed using dynamic time warping.
**Return type**
`ndarray`
**Returns**
an asset-to-asset similarity matrix.
**Raises**
[**QiskitFinanceError**](qiskit.finance.QiskitFinanceError "qiskit.finance.QiskitFinanceError") no data loaded
</Function>
<span id="qiskit-finance-data-providers-basedataprovider-run" />
### run
<Function id="qiskit.finance.data_providers.BaseDataProvider.run" signature="BaseDataProvider.run()" modifiers="abstract">
Loads data.
**Return type**
`None`
</Function>
</Class>