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--git a/docs/changelog.rst b/docs/changelog.rst index 319a42f..5e93b88 100644 --- a/docs/changelog.rst +++ b/docs/changelog.rst @@ -3,6 +3,17 @@ Release Notes =============== +Version 0.1.5 +--------------- + +* **Release date:** 13-Oct-2024 + +* **Feature Additions:** + + * Introduced the :class:`BharatFinTrack.Visual` class for data visualization. + * Added the :meth:`BharatFinTrack.Visual.plot_category_sort_index_cagr_from_launch` method for plotting the descending sort of CAGR (%) by index category since inception. + + Version 0.1.4 --------------- diff --git a/docs/functionality.rst b/docs/functionality.rst index ab613ef..3001bbd 100644 --- a/docs/functionality.rst +++ b/docs/functionality.rst @@ -6,6 +6,8 @@ Functionality A brief overview of several features related to making investment decisions. + + Class Instance ---------------- Let's start by instantiating the classes. @@ -17,6 +19,9 @@ Let's start by instantiating the classes. nse_tri = BharatFinTrack.NSETRI() + +.. _fucn_equity_index_price_cagr: + Equity Index Price CAGR -------------------------- @@ -26,7 +31,7 @@ It helps users make informed decisions about investments in passive funds that t .. code-block:: python nse_index.sort_equity_cagr_from_launch( - excel_file=r"C:\Users\Username\Folder\sort_cagr.xlsx" + excel_file=r"C:\Users\Username\Folder\sort_price_cagr.xlsx" ) @@ -37,10 +42,12 @@ better understand the difference in index returns across various categories .. code-block:: python nse_index.category_sort_equity_cagr_from_launch( - excel_file=r"C:\Users\Username\Folder\category_sort_cagr.xlsx" + excel_file=r"C:\Users\Username\Folder\sort_price_cagr_by_category.xlsx" ) - + +.. _fucn_equity_tri_cagr: + Equity TRI CAGR ------------------ Download the closing Total Return Index (TRI) values for all NSE indices. These values are not updated on the website on a daily basis. @@ -64,13 +71,13 @@ The above Excel file will be used to sort the equity indices based on the CAGR ( # sort equity indices by CAGR (%) since launch nse_tri.sort_equity_cagr_from_launch( input_excel=excel_file, - output_excel=r"C:\Users\Username\Folder\sorted_tri_cagr.xlsx" + output_excel=r"C:\Users\Username\Folder\sort_tri_cagr.xlsx" ) # sort equity indices by CAGR (%) since launch within each category nse_tri.category_sort_equity_cagr_from_launch( input_excel=excel_file, - output_excel=r"C:\Users\Username\Folder\category_sort_tri_cagr.xlsx" + output_excel=r"C:\Users\Username\Folder\sort_tri_cagr_by_category.xlsx" ) diff --git a/docs/index.rst b/docs/index.rst index 021abe8..9a6af26 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -11,6 +11,7 @@ Welcome to BharatFinTrack's documentation! quickstart download functionality + visualization modules changelog diff --git a/docs/introduction.rst b/docs/introduction.rst index 96823fa..c7f16dc 100644 --- a/docs/introduction.rst +++ b/docs/introduction.rst @@ -16,4 +16,5 @@ BharatFinTrack is a Python package designed to simplify the process of downloadi - Calculates the updated CAGR (%) of all NSE equity index prices and TRI since their inception. - Sorts equity indices by CAGR (%) values since inception. + - Plots the descending sort of CAGR (%) by index category since inception. \ No newline at end of file diff --git a/docs/visualization.rst b/docs/visualization.rst new file mode 100644 index 0000000..6a4def9 --- /dev/null +++ b/docs/visualization.rst @@ -0,0 +1,60 @@ +=============== +Visualization +=============== + +A brief overview of several features related to data visualization. + +Class Instance +---------------- +Let's start by instantiating the class. + +.. code-block:: python + + import BharatFinTrack + visual = BharatFinTrack.Visual() + + +Equity Index Closing Values +----------------------------- + +In this section, we plot a bar graph of equity index closing values, sorted in descending order of CAGR (%) by category. +To obtain the required data, use the Excel files generated from the :ref:`Equity Index Price CAGR ` +and :ref:`Equity TRI CAGR ` sections. The following code produces a plot of the closing TRI values. +You can also experiment with index prices to observe differences in the results. + + +.. code-block:: python + + excel_file = r"C:\Users\Username\Folder\tri_closing_value.xlsx" + + # plot descending sort of TRI CAGR by category since launch + visual.plot_category_sort_index_cagr_from_launch( + excel_file=r"C:\Users\Username\Folder\sort_tri_cagr_by_category.xlsx" + figure_file=r"C:\Users\Username\Folder\plot_tri.png" + ) + + +The output plot looks similar to the following figure subject to the change of closing values which chanage in each trading day. + + +.. image:: _static/tri_category_sort_cagr_from_launch.png + :align: left + + + + + + + + + + + + + + + + + + +