plot.py 3.5 KB
Newer Older
1 2 3 4 5 6 7 8 9 10 11 12 13
# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
S
shippingwang 已提交
14

15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32
import os


class PlotData(object):
    def __init__(self):
        self.step = []
        self.value = []

    def append(self, step, value):
        self.step.append(step)
        self.value.append(value)

    def reset(self):
        self.step = []
        self.value = []


class Ploter(object):
S
shippingwang 已提交
33 34 35 36 37 38 39 40 41
    '''
        Plot input data in a 2D graph
        
        Args:
            title: assign the title of input data.
            step: x_axis of the data.
            value: y_axis of the data.
    '''

42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61
    def __init__(self, *args):
        self.__args__ = args
        self.__plot_data__ = {}
        for title in args:
            self.__plot_data__[title] = PlotData()
        # demo in notebooks will use Ploter to plot figure, but when we convert
        # the ipydb to py file for testing, the import of matplotlib will make the
        # script crash. So we can use `export DISABLE_PLOT=True` to disable import
        # these libs
        self.__disable_plot__ = os.environ.get("DISABLE_PLOT")
        if not self.__plot_is_disabled__():
            import matplotlib.pyplot as plt
            from IPython import display
            self.plt = plt
            self.display = display

    def __plot_is_disabled__(self):
        return self.__disable_plot__ == "True"

    def append(self, title, step, value):
S
shippingwang 已提交
62 63 64 65 66 67 68 69 70 71 72 73
        '''
	    Feed data
	    
            Args:
                title: assign the group data to this subtitle.
                step: the x_axis of data.
                value: the y_axis of data.
            
            Examples:
                .. code-block:: python
                plot_curve = Ploter("Curve 1","Curve 2")
                plot_curve.append(title="Curve 1",step=1,value=1)
S
shippingwang 已提交
74
	'''
75 76 77 78 79 80 81
        assert isinstance(title, basestring)
        assert self.__plot_data__.has_key(title)
        data = self.__plot_data__[title]
        assert isinstance(data, PlotData)
        data.append(step, value)

    def plot(self, path=None):
S
shippingwang 已提交
82 83 84 85 86 87 88 89 90 91
        '''
            Plot data in a 2D graph

            Args:
                path: store the figure to this file path. Defaul None. 
              
            Examples:
                .. code-block:: python
                plot_curve = Ploter()
                plot_cure.plot()
S
shippingwang 已提交
92
	'''
93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115
        if self.__plot_is_disabled__():
            return

        titles = []
        for title in self.__args__:
            data = self.__plot_data__[title]
            assert isinstance(data, PlotData)
            if len(data.step) > 0:
                titles.append(title)
                self.plt.plot(data.step, data.value)
        self.plt.legend(titles, loc='upper left')
        if path is None:
            self.display.clear_output(wait=True)
            self.display.display(self.plt.gcf())
        else:
            self.plt.savefig(path)
        self.plt.gcf().clear()

    def reset(self):
        for key in self.__plot_data__:
            data = self.__plot_data__[key]
            assert isinstance(data, PlotData)
            data.reset()