docs: add description of open_charts option (#817)

* (docs): update getting-started manual, add a description for
  `open_charts` parameter;
* (docs): update docstring of `format_plot()` as well;

docs/getting-started.md

@@ -197,6 +197,7 @@ Settings:
 - `enforce_privacy`: whether to enforce privacy. Defaults to `False`. If set to `True`, PandasAI will not send any data to the LLM, but only the metadata. By default, PandasAI will send 5 samples that are anonymized to improve the accuracy of the results.
 - `save_charts`: whether to save the charts generated by PandasAI. Defaults to `False`. You will find the charts in the root of your project or in the path specified by `save_charts_path`.
 - `save_charts_path`: the path where to save the charts. Defaults to `exports/charts/`. You can use this setting to override the default path.
+- `open_charts`: whether to open the chart during parsing of the response from the LLM. Defaults to `True`. You can completely disable displaying of charts by setting this option to `False`. 
 - `enable_cache`: whether to enable caching. Defaults to `True`. If set to `True`, PandasAI will cache the results of the LLM to improve the response time. If set to `False`, PandasAI will always call the LLM.
 - `use_error_correction_framework`: whether to use the error correction framework. Defaults to `True`. If set to `True`, PandasAI will try to correct the errors in the code generated by the LLM with further calls to the LLM. If set to `False`, PandasAI will not try to correct the errors in the code generated by the LLM.
 - `max_retries`: the maximum number of retries to use when using the error correction framework. Defaults to `3`. You can use this setting to override the default number of retries.

pandasai/responses/response_parser.py

@@ -80,7 +80,10 @@ def format_dataframe(self, result: dict) -> Any:
 
     def format_plot(self, result: dict) -> Any:
         """
-        Display matplotlib plot against a user query
+        Display matplotlib plot against a user query.
+
+        If `open_charts` option set to `False`, the chart won't be displayed.
+
         Args:
             result (dict): result contains type and value
         Returns: