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"""!
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@brief Output dynamic visualizer
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@authors Andrei Novikov ([email protected])
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@date 2014-2018
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@copyright GNU Public License
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@cond GNU_PUBLIC_LICENSE
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PyClustering is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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PyClustering is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with this program. If not, see <http://www.gnu.org/licenses/>.
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@endcond
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"""
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import matplotlib.pyplot as plt;
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from pyclustering.utils import set_ax_param;
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class canvas_descr:
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def __init__(self, x_title=None, y_title=None, x_lim=None, y_lim=None, x_labels=True, y_labels=True):
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self.x_title = x_title;
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self.y_title = y_title;
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self.x_lim = x_lim;
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self.y_lim = y_lim;
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self.x_labels = x_labels;
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self.y_labels = y_labels;
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class dynamic_descr:
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def __init__(self, canvas, time, dynamics, separate, color):
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self.canvas = canvas;
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self.time = time;
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self.dynamics = dynamics;
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self.separate = separate;
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self.color = color;
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self.separate = self.__get_canonical_separate();
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def get_axis_index(self, index_dynamic):
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return self.separate[index_dynamic];
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def __get_canonical_separate(self):
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if (isinstance(self.separate, list)):
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separate = [0] * len(self.dynamics[0]);
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for canvas_index in range(len(self.separate)):
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dynamic_indexes = self.separate[canvas_index];
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for dynamic_index in dynamic_indexes:
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separate[dynamic_index] = canvas_index;
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return separate;
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elif (self.separate is False):
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if (isinstance(self.dynamics[0], list) is True):
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return [ self.canvas ] * len(self.dynamics[0]);
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else:
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return [ self.canvas ];
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elif (self.separate is True):
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if (isinstance(self.dynamics[0], list) is True):
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return range(self.canvas, self.canvas + len(self.dynamics[0]));
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else:
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return [ self.canvas ];
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else:
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raise Exception("Incorrect type of argument 'separate' '%s'." % type(self.separate));
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class dynamic_visualizer:
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def __init__(self, canvas, x_title=None, y_title=None, x_lim=None, y_lim=None, x_labels=True, y_labels=True):
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self.__size = canvas;
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self.__canvases = [ canvas_descr(x_title, y_title, x_lim, y_lim, x_labels, y_labels) for _ in range(canvas) ];
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self.__dynamic_storage = [];
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def set_canvas_properties(self, canvas, x_title=None, y_title=None, x_lim=None, y_lim=None, x_labels=True, y_labels=True):
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self.__canvases[canvas] = canvas_descr(x_title, y_title, x_lim, y_lim, x_labels, y_labels);
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def append_dynamic(self, t, dynamic, canvas=0, color='blue'):
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description = dynamic_descr(canvas, t, dynamic, False, color);
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self.__dynamic_storage.append(description);
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self.__update_canvas_xlim(description.time, description.separate);
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def append_dynamics(self, t, dynamics, canvas=0, separate=False, color='blue'):
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description = dynamic_descr(canvas, t, dynamics, separate, color);
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self.__dynamic_storage.append(description);
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self.__update_canvas_xlim(description.time, description.separate);
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def show(self):
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(_, axis) = plt.subplots(self.__size, 1);
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self.__format_canvases(axis);
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for dynamic in self.__dynamic_storage:
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self.__display_dynamic(axis, dynamic);
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plt.show();
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def __display_dynamic(self, axis, dyn_descr):
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if (isinstance(dyn_descr.dynamics[0], list) is True):
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self.__display_multiple_dynamic(axis, dyn_descr);
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else:
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self.__display_single_dynamic(axis, dyn_descr);
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def __display_multiple_dynamic(self, axis, dyn_descr):
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num_items = len(dyn_descr.dynamics[0]);
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for index in range(0, num_items, 1):
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y = [item[index] for item in dyn_descr.dynamics];
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axis_index = dyn_descr.get_axis_index(index);
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ax = self.__get_axis(axis, axis_index);
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ax.plot(dyn_descr.time, y, 'b-', linewidth = 0.5);
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def __display_single_dynamic(self, axis, dyn_descr):
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ax = self.__get_axis(axis, dyn_descr.canvas);
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ax.plot(dyn_descr.time, dyn_descr.dynamics, 'b-', linewidth = 0.5);
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def __format_canvases(self, axis):
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for index in range(self.__size):
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canvas = self.__canvases[index];
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ax = self.__get_axis(axis, index);
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set_ax_param(ax, canvas.x_title, canvas.y_title, canvas.x_lim, canvas.y_lim, canvas.x_labels, canvas.y_labels, True);
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if ( (len(self.__canvases) > 1) and (index != len(self.__canvases) - 1) ):
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ax.get_xaxis().set_visible(False);
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def __update_canvas_xlim(self, t, separate):
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for index in separate:
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self.__update_single_canvas_xlim(index, t);
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def __update_single_canvas_xlim(self, canvas_index, t):
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dynamic_xlim = [0, t[len(t) - 1]];
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if ( (self.__canvases[canvas_index].x_lim is None) or (self.__canvases[canvas_index].x_lim < dynamic_xlim) ):
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self.__canvases[canvas_index].x_lim = dynamic_xlim;
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def __get_axis(self, axis, index):
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if (index >= len(self.__canvases)):
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raise Exception("Impossible to get axis with index '%d' - total number of canvases '%d'."
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% index, len(self.__canvases));
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ax = axis;
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if (self.__size > 1):
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ax = axis[index];
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return ax; |
annoviko /
pyclustering
This can be caused by one of the following:
1. Missing Dependencies
This error could indicate a configuration issue of Pylint. Make sure that your libraries are available by adding the necessary commands.
2. Missing __init__.py files
This error could also result from missing
__init__.pyfiles in your module folders. Make sure that you place one file in each sub-folder.