qpcr - a python module for easy and versatile qPCR data analysis for small-scale datasets and high-throughput

New Features in Next Version pipe method comprehension The pipe methods of qpcr.Analyser, qpcr.Normaliser, and the qpcr.Filters, as well as the read method of the qpcr.DataReader can now directly be fed with a list. Extended interface for qpcr.Assay and qpcr.Results qpcr.Assay and qpcr.Results objects now allow direct item setting, getting and deleting on their dataframes. qpcr.Results can now be merged together using the + operator. Function API There are now a number of functions that wrap the qpcr classes to allow even easier data handling. Among them are: qpcr.read(...) to wrap a standard qpcr.DataReader and its read method qpcr.analyse(...) to wrap a standard qpcr.Analyser and its pipe method qpcr.normalise(...) to wrap a standard qpcr.Normalaliser and its `pipe method. qpcr.plot(...) to allow quick visualisation from several qpcr classes such as qpcr.Results or qpcr.Assay. ### New stats The qpcr.Results.stats() dataframe now also includes IQR (by default, but adjustable to any two quantiles), and CI (assuming a normal distribution, default at 95% but also adjustable). New extended documentation There is a new documentation now available with extended explanations on class usage. It is available on qpcr.readthedocs.io. New __str__ representations The main qpcr classes now all have a __str__ method to allow easier user-interaction, where they display their dataframes as well as other information. SampleReader drop The qpcr.SampleReader was dropped from qpcr. qpcr.Results.split drop The split method that previously generated a number of qpcr.Results objects from a single one based on its _rel_ columns has been dropped. Attribute changes Some attributes such as the qpcr.Assay.dCt or qpcr.Results.is_empty are now properties and now longer callable methods. Also, the qpcr.Results.adopt_names method is now called setup_cols. Bugfixes and Code Refactorizations The huge __init__ method was refactored into a proper main submodule. Also the defaults were refactored into their own submodule instead of being part of _auxiliary. Also the id policy has been changed to allow repetitive .id(...) calling without requiring the use of .id_reset().When using this package to analyse your data, please, cite accordingly. Good luck with your research