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"""Provide the basic Axes class.""" |
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import json |
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import os |
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from collections import OrderedDict |
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from functools import wraps |
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import h5py |
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import matplotlib.pyplot as plt |
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class HDF5IO(object): |
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""" |
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""" |
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def __init__(self, data_file): |
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""" |
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""" |
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self.data_file = data_file |
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def read(self): |
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"""Read the hdf5 file.""" |
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with h5py.File(self.data_file, 'r') as h5_file: |
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dct = OrderedDict( |
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sorted([(plot_function, |
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{arg_name: OrderedDict( |
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sorted([(str(key), value[()]) |
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for key, value in arg.items()])) |
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for arg_name, arg in args.items()}) |
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for plot_function, args in h5_file.items() |
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if plot_function != 'rcParams'])) |
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if 'rcParams' in h5_file: |
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dct['rcParams'] = dict((key, val[()]) |
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for key, val in |
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h5_file['rcParams'].items()) |
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return dct |
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def save(self, name, plot_object): |
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"""Save a plot object to the hdf5 file.""" |
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with h5py.File(self.data_file) as h5_file: |
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plot_object_group = h5_file.require_group(name) |
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if name == 'rcParams': |
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for param, value in plot_object.items(): |
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plot_object_group[param] = value |
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elif name == 'style': |
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for style, dct in plot_object.items(): |
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style_group = plot_object_group.require_group(style) |
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for key, value in dct.items(): |
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style_group[key] = value |
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else: |
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args_group = plot_object_group.require_group('args') |
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kwargs_group = plot_object_group.require_group('kwargs') |
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for key, arg in plot_object['args'].items(): |
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args_group[str(key)] = arg |
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for key, value in plot_object['kwargs'].items(): |
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kwargs_group[str(key)] = value |
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class JsonIO(object): |
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""" |
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""" |
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def __init__(self, data_file): |
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""" |
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""" |
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self.data_file = data_file |
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def read(self): |
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with open(self.data_file) as f: |
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data = json.load(f, object_pairs_hook=OrderedDict) |
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return data |
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def save(self, name, dct_obj): |
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if name not in ('style', 'rcParams'): |
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for key, value in dct_obj['args'].items(): |
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try: |
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dct_obj['args'][key] = value.tolist() |
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except AttributeError: |
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pass |
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for key, value in dct_obj['kwargs'].items(): |
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try: |
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dct_obj['kwargs'][key] = value.tolist() |
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except AttributeError: |
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pass |
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dct = {name: dct_obj} |
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try: |
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data = self.read() |
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except IOError: |
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data = {} |
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data.update(dct) |
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with open(self.data_file, 'w') as json_file: |
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json.dump(data, json_file, sort_keys=True, |
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indent=0, separators=(',', ': ')) |
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class Axes(object): |
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""" |
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Save matplotlib command for later reuse. |
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Holds and `matplotlib.axes.Axes` object which saves the operations done on |
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it for latter re-plotting. |
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""" |
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def __init__(self, data_file, ax=None, file_type='json', style=None, |
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rcParams=None, erase=True): |
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""" |
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Save matplotlib command for later reuse. |
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Arguments: |
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`data_file` -- the file on which the plotting functions and |
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data are stored |
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`ax` -- an `matplotlib.axes.Axes` instance (default: the |
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current `matplotlib.axes.Axes` instance) |
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""" |
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self._action_number = 0 |
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self.file_type = file_type |
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self.data_file = data_file |
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self._style = style if style else {} |
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self._rcParams = rcParams if rcParams else {} |
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if erase: |
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try: |
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os.remove(self.data_file) |
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except OSError: |
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pass |
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if file_type == 'json': |
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self.io = JsonIO(self.data_file) |
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elif file_type == 'hdf5': |
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self.io = HDF5IO(self.data_file) |
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else: |
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raise NotImplementedError(self.file_type) |
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try: |
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style = self.io.read()['style'] |
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style.update(self._style) |
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self._style = style |
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except (IOError, KeyError): |
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pass |
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try: |
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rcParams = self.io.read()['rcParams'] |
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rcParams.update(self._rcParams) |
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self._rcParams = rcParams |
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except (IOError, KeyError): |
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pass |
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plt.rcParams.update(self.rcParams) |
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self._ax = ax if ax else plt.gca() |
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@property |
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def action_number(self): |
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"""Number of action called.""" |
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self._action_number += 1 |
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return '{:03d}'.format(self._action_number) |
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def __getattr__(self, attr): |
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"""Pass the plotting function to the parser.""" |
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if attr[1] == '_': |
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raise AttributeError |
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try: |
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return self.parse_func(getattr(self._ax, attr)) |
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except AttributeError: |
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return self.parse_func(getattr(self, '_' + attr)) |
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@property |
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def style(self): |
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return self._style |
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@style.setter |
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def style(self, dct): |
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self._style.update(dct) |
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self.io.save('style', self.style) |
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@property |
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def rcParams(self): |
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return self._rcParams |
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@rcParams.setter |
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def rcParams(self, dct): |
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self._rcParams.update(dct) |
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self.io.save('rcParams', self.rcParams) |
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def replot(self): |
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"""Replot using the recorded ploting funtions.""" |
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for key, plot_object in self.io.read().items(): |
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if key not in ('style', 'rcParams'): |
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attr = '_'.join(key.split('_')[1:]) |
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kwargs = plot_object['kwargs'] |
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self.apply_style(kwargs, attr) |
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try: |
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getattr(self._ax, attr)( |
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*plot_object['args'].values(), **kwargs) |
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except AttributeError: |
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getattr(self, attr)( |
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*plot_object['args'].values(), **kwargs) |
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plt.draw_if_interactive() |
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def _to_dict(self, name, *args, **kwargs): |
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return self.action_number + '_' + name, {'args': dict(enumerate(args)), |
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'kwargs': kwargs} |
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def parse_func(self, func): |
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"""Create and save a plot object by parsing the ploting function.""" |
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@wraps(func) |
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def wrapper(*args, **kwargs): |
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self.io.save(*self._to_dict(func.__name__, *args, **kwargs)) |
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self.apply_style(kwargs, func.__name__) |
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return func(*args, **kwargs) |
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return wrapper |
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def apply_style(self, kwargs, extra_styles=None): |
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if extra_styles: |
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kwargs['style'] = (extra_styles + ' ' + |
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kwargs.get('style', ' ')).strip() |
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try: |
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for style in kwargs.pop('style').split(' '): |
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try: |
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kwargs.update(self.style[style]) |
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except KeyError: |
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pass |
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except KeyError: |
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pass |
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benbaror /
replotlib
