… definition of custom Readers that support pandas DataFrames. This has the benefit of being able to take advantage of the range of data formats that pandas supports for ground truth and detection data being read into stonesoup. The example includes the custom definition of a DataFrameGroundTruthReader and DataFrameDetectionReader class. Both of these inherit from the GroundTruthReader class, along with a custom defined _DataFrameReader class. Each of these classes supports reading of pandas dataframes that are already read into memory, in a similar way to the CSVGroundTruthReader and CSVDetectionReader [issue 354].

…, ref pull request dstl#707 failing to build docs.

…ne stoup.

…ord, for consistency with the remainder of all Stone Soup documentation.

…ion to docs.

… of 'dataframe'.

…DataFrameReader, as suggested by sdhiscocks.

…reader.py'. This includes a new _DataFrameReader class, which inherits from Reader and allows a Pandas DataFrame to be read. Two new classes are also developed for reading ground-truth data from pandas (DataFrameGroundTruthReader) and reading detections from pandas (DataFrameDetectionReader). Each of these new classes inherit from DetectionReader and _DataFrameReader, and yield outputs in the same way as the basic GroundTruthReader (yields previous time and updated_paths) and DetectionReader (yields previous time and detections) classes within Stone Soup. Tests are still to be generated for these classes.

…ting pandas.

…ns within both Custom_Pandas_Dataloader.py (documents example), and reader/pandas_reader.py.

…hin both Custom_Pandas_Dataloader.py (documents example), and reader/pandas_reader.py.

…aframe readers.

…reader classes.

…ory. Tests now check both ground-truth reader and detection reader functionality.

…ectory. Now includes seperate tests for DataFrameGroundTruthReader and DataFrameDetectionReader.

… from blank lines.

… pandas_reader.py. Developed the same tests as defined within test_generic.py.

…st_pandas_reader.py to check for case where pandas column contains string formatted datetimes, rather than being Timestamp (already formatted in pandas before creating reader).