Ñò ñJc @ sw d Z d d k Z d d k l Z l Z l Z d d d YZ d d d YZ d e f d YZ e Z d S( sN The classes here provide support for using custom classes with matplotlib, eg those that do not expose the array interface but know how to converter themselves to arrays. It also supoprts classes with units and units conversion. Use cases include converters for custom objects, eg a list of datetime objects, as well as for objects that are unit aware. We don't assume any particular units implementation, rather a units implementation must provide a ConversionInterface, and the register with the Registry converter dictionary. For example, here is a complete implementation which support plotting with native datetime objects import matplotlib.units as units import matplotlib.dates as dates import matplotlib.ticker as ticker import datetime class DateConverter(units.ConversionInterface): @staticmethod def convert(value, unit, axis): 'convert value to a scalar or array' return dates.date2num(value) @staticmethod def axisinfo(unit, axis): 'return major and minor tick locators and formatters' if unit!='date': return None majloc = dates.AutoDateLocator() majfmt = dates.AutoDateFormatter(majloc) return AxisInfo(majloc=majloc, majfmt=majfmt, label='date') @staticmethod def default_units(x, axis): 'return the default unit for x or None' return 'date' # finally we register our object type with a converter units.registry[datetime.date] = DateConverter() iÿÿÿÿN( t iterablet is_numliket is_string_liket AxisInfoc B s&