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			330 lines
		
	
	
		
			12 KiB
		
	
	
	
		
			Python
		
	
	
		
			Executable File
		
	
	
	
	
			
		
		
	
	
			330 lines
		
	
	
		
			12 KiB
		
	
	
	
		
			Python
		
	
	
		
			Executable File
		
	
	
	
	
| #!/usr/bin/env python3
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| '''
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| NAME: lf_graph.py
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| 
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| PURPOSE: 
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| Common Library for generating graphs for LANforge output
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| 
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| SETUP:  
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| /lanforge/html-reports directory needs to be present or output generated in local file
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| 
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| EXAMPLE:  
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| see: /py-scritps/lf_report_test.py for example
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| 
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| COPYWRITE
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|     Copyright 2021 Candela Technologies Inc
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|     License: Free to distribute and modify. LANforge systems must be licensed.
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| 
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| INCLUDE_IN_README
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| '''
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| 
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| import matplotlib.pyplot as plt
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| import matplotlib as mpl
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| import numpy as np
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| import pandas as pd
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| import pdfkit
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| import math
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| from matplotlib.colors import ListedColormap
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| 
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| 
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| # internal candela references included during intial phases, to be deleted at future date
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| 
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| # graph reporting classes
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| class lf_bar_graph():
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|     def __init__(self, _data_set=[[30, 55, 69, 37], [45, 67, 34, 22], [22, 45, 12, 34]],
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|                  _xaxis_name="x-axis",
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|                  _yaxis_name="y-axis",
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|                  _xaxis_categories=[1, 2, 3, 4],
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|                  _graph_image_name="image_name",
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|                  _label=["bi-downlink", "bi-uplink", 'uplink'],
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|                  _color=None,
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|                  _bar_width=0.25,
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|                  _color_edge='grey',
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|                  _font_weight='bold',
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|                  _color_name=['lightcoral', 'darkgrey', 'r', 'g', 'b', 'y'],
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|                  _figsize=(10, 5),
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|                  _show_bar_value=False,
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|                  _xaxis_step=5,
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|                  _xticks_font = None,
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|                  _grp_title = "",
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|                  _dpi=96):
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| 
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|         self.data_set = _data_set
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|         self.xaxis_name = _xaxis_name
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|         self.yaxis_name = _yaxis_name
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|         self.xaxis_categories = _xaxis_categories
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|         self.graph_image_name = _graph_image_name
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|         self.label = _label
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|         self.color = _color
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|         self.bar_width = _bar_width
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|         self.color_edge = _color_edge
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|         self.font_weight = _font_weight
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|         self.color_name = _color_name
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|         self.figsize = _figsize
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|         self.show_bar_value = _show_bar_value
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|         self.xaxis_step = _xaxis_step
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|         self.xticks_font = _xticks_font
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|         self.grp_title = _grp_title
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| 
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|     def build_bar_graph(self):
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|         if self.color is None:
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|             i = 0
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|             self.color = []
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|             for col in self.data_set:
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|                 self.color.append(self.color_name[i])
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|                 i = i + 1
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| 
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|         fig = plt.subplots(figsize=self.figsize)
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|         i = 0
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| 
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|         def show_value(rects):
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|             for rect in rects:
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|                 h = rect.get_height()
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|                 plt.text(rect.get_x() + rect.get_width() / 2., h + 0.05, '%d' % int(h),
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|                          ha='center', va='bottom')
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| 
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|         for data in self.data_set:
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|             if i > 0:
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|                 br = br1
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|                 br2 = [x + self.bar_width for x in br]
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|                 rects = plt.bar(br2, self.data_set[i], color=self.color[i], width=self.bar_width,
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|                                 edgecolor=self.color_edge, label=self.label[i])
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|                 if self.show_bar_value:
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|                     show_value(rects)
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|                 br1 = br2
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|                 i = i + 1
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|             else:
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|                 br1 = np.arange(len(self.data_set[i]))
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|                 rects = plt.bar(br1, self.data_set[i], color=self.color[i], width=self.bar_width,
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|                                 edgecolor=self.color_edge, label=self.label[i])
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|                 if self.show_bar_value:
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|                     show_value(rects)
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|                 i = i + 1
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|         plt.xlabel(self.xaxis_name, fontweight='bold', fontsize=15)
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|         plt.ylabel(self.yaxis_name, fontweight='bold', fontsize=15)
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| 
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|         if self.xaxis_categories[0] == 0:
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|             plt.xticks(np.arange(0, len(self.xaxis_categories), step=self.xaxis_step),fontsize = self.xticks_font)
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|         else:
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|             plt.xticks(np.arange(0, len(self.data_set[0]), step=self.xaxis_step), self.xaxis_categories,
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|                        fontsize = self.xticks_font)
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| 
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|         plt.legend()
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|         plt.title(self.grp_title)
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|         fig = plt.gcf()
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|         plt.savefig("%s.png" % self.graph_image_name, dpi=96)
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|         plt.close()
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|         print("{}.png".format(self.graph_image_name))
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| 
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|         return "%s.png" % self.graph_image_name
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| 
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| 
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| class lf_scatter_graph():
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|     def __init__(self,
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|                  _x_data_set=["sta0 ", "sta1", "sta2", "sta3"],
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|                  _y_data_set=[[30, 55, 69, 37]],
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|                  _values=None,
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|                  _xaxis_name="x-axis",
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|                  _yaxis_name="y-axis",
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|                  _label=["num1", "num2"],
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|                  _graph_image_name="image_name",
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|                  _color=["r", "y"],
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|                  _figsize=(9, 4)):
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|         self.x_data_set = _x_data_set
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|         self.y_data_set = _y_data_set
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|         self.xaxis_name = _xaxis_name
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|         self.yaxis_name = _yaxis_name
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|         self.figsize = _figsize
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|         self.graph_image_name = _graph_image_name
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|         self.color = _color
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|         self.label = _label
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|         self.values = _values
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| 
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|     def build_scatter_graph(self):
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|         if self.color is None:
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|             self.color = ["orchid", "lime", "aquamarine", "royalblue", "darkgray", "maroon"]
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|         fig = plt.subplots(figsize=self.figsize)
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|         if self.values is None:
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|             plt.scatter(self.x_data_set, self.y_data_set[0], color=self.color[0], label=self.label[0])
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|             if len(self.y_data_set) > 1:
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|                 for i in range(1, len(self.y_data_set)):
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|                     plt.scatter(self.x_data_set, self.y_data_set[i], color=self.color[i], label=self.label[i])
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|             plt.xlabel(self.xaxis_name, fontweight='bold', fontsize=15)
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|             plt.ylabel(self.yaxis_name, fontweight='bold', fontsize=15)
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|             plt.gcf().autofmt_xdate()
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|             plt.legend()
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|         else:
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|             colours = ListedColormap(self.color)
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|             scatter = plt.scatter(self.x_data_set, self.y_data_set, c=self.values, cmap=colours)
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|             plt.xlabel(self.xaxis_name, fontweight='bold', fontsize=15)
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|             plt.ylabel(self.yaxis_name, fontweight='bold', fontsize=15)
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|             plt.gcf().autofmt_xdate()
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|             plt.legend(handles=scatter.legend_elements()[0], labels=self.label)
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|         plt.savefig("%s.png" % self.graph_image_name, dpi=96)
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|         plt.close()
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|         print("{}.png".format(self.graph_image_name))
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| 
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|         return "%s.png" % self.graph_image_name
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| 
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| 
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| class lf_stacked_graph():
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|     def __init__(self,
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|                  _data_set=[[1, 2, 3, 4], [1, 1, 1, 1], [1, 1, 1, 1]],
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|                  _xaxis_name="Stations",
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|                  _yaxis_name="Numbers",
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|                  _label=['Success', 'Fail'],
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|                  _graph_image_name="image_name",
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|                  _color=["b", "g"],
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|                  _figsize=(9, 4)):
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|         self.data_set = _data_set  # [x_axis,y1_axis,y2_axis]
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|         self.xaxis_name = _xaxis_name
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|         self.yaxis_name = _yaxis_name
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|         self.figsize = _figsize
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|         self.graph_image_name = _graph_image_name
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|         self.label = _label
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|         self.color = _color
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| 
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|     def build_stacked_graph(self):
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|         fig = plt.subplots(figsize=self.figsize)
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|         if self.color is None:
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|             self.color = ["darkred", "tomato", "springgreen", "skyblue", "indigo", "plum"]
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|         plt.bar(self.data_set[0], self.data_set[1], color=self.color[0])
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|         plt.bar(self.data_set[0], self.data_set[2], bottom=self.data_set[1], color=self.color[1])
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|         if len(self.data_set) > 3:
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|             for i in range(3, len(self.data_set)):
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|                 plt.bar(self.data_set[0], self.data_set[i],
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|                         bottom=np.array(self.data_set[i - 2]) + np.array(self.data_set[i - 1]), color=self.color[i - 1])
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|         plt.xlabel(self.xaxis_name)
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|         plt.ylabel(self.yaxis_name)
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|         plt.legend(self.label)
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|         plt.savefig("%s.png" % (self.graph_image_name), dpi=96)
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|         plt.close()
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|         print("{}.png".format(self.graph_image_name))
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| 
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|         return "%s.png" % (self.graph_image_name)
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| 
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| 
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| class lf_horizontal_stacked_graph():
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|     def __init__(self,
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|                  _seg=2,
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|                  _yaxis_set=('A', 'B'),
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|                  _xaxis_set1=[12, 0, 0, 16, 15],
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|                  _xaxis_set2=[23, 34, 23, 0],
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|                  _unit="%",
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|                  _xaxis_name="Stations",
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|                  _label=['Success', 'Fail'],
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|                  _graph_image_name="image_name",
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|                  _color=["success", "Fail"],
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|                  _figsize=(9, 4),
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|                  _disable_xaxis=False):
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|         self.unit = _unit
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|         self.seg = _seg
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|         self.xaxis_set1 = _xaxis_set1
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|         self.xaxis_set2 = _xaxis_set2
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|         self.yaxis_set = _yaxis_set
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|         self.xaxis_name = _xaxis_name
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|         self.figsize = _figsize
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|         self.graph_image_name = _graph_image_name
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|         self.label = _label
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|         self.color = _color
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|         self.disable_xaxis = _disable_xaxis
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| 
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|     def build_horizontal_stacked_graph(self):
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|         def sumzip(items):
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|             return [sum(values) for values in zip(items)]
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| 
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|         fig, ax = plt.subplots(figsize=self.figsize)
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| 
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|         n = self.seg
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|         values1 = self.xaxis_set1
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|         values2 = self.xaxis_set2
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| 
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|         ind = np.arange(n) + .15
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|         width = 0.3
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| 
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|         rects1 = plt.barh(ind, values1, width, color=self.color[0], label=self.label[0])
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|         rects2 = plt.barh(ind, values2, width, left=sumzip(values1), color=self.color[1], label=self.label[1])
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| 
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|         extra_space = 0.15
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|         ax.set_yticks(ind + width - extra_space)
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|         ax.set_yticklabels(self.yaxis_set)
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|         ax.yaxis.set_tick_params(length=0, labelbottom=True)
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| 
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|         for i, v in enumerate(values1):
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|             if v != 0:
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|                 plt.text(v * 0.45, i + .145, "%s%s" % (v, self.unit), color='white', fontweight='bold', fontsize=10,
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|                          ha='center', va='center')
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| 
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|         for i, v in enumerate(values2):
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|             if v != 0:
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|                 plt.text(v * 0.45 + values1[i], i + .145, "%s%s" % (v, self.unit), color='white', fontweight='bold',
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|                          fontsize=10,
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|                          ha='center', va='center')
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| 
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|         ax.spines['right'].set_visible(False)
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|         ax.spines['top'].set_visible(False)
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|         ax.legend(loc='upper right')
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|         if self.disable_xaxis:
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|             plt.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)  # disable x-axis
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|         plt.savefig("%s.png" % self.graph_image_name, dpi=96)
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|         plt.close()
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|         print("{}.png".format(self.graph_image_name))
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| 
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|         return "%s.png" % self.graph_image_name
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| 
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| 
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| # Unit Test
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| if __name__ == "__main__":
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|     output_html_1 = "graph_1.html"
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|     output_pdf_1 = "graph_1.pdf"
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| 
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|     # test build_bar_graph with defaults
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|     graph = lf_bar_graph()
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|     graph_html_obj = """
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|         <img align='center' style='padding:15;margin:5;width:1000px;' src=""" + "%s" % (graph.build_bar_graph()) + """ border='1' />
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|         <br><br>
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|         """
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|     # 
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|     test_file = open(output_html_1, "w")
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|     test_file.write(graph_html_obj)
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|     test_file.close()
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| 
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|     # write to pdf
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|     # write logic to generate pdf here
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|     # wget https://github.com/wkhtmltopdf/packaging/releases/download/0.12.6-1/wkhtmltox_0.12.6-1.focal_amd64.deb
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|     # sudo apt install ./wkhtmltox_0.12.6-1.focal_amd64.deb
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|     options = {"enable-local-file-access": None}  # prevent eerror Blocked access to file
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|     pdfkit.from_file(output_html_1, output_pdf_1, options=options)
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| 
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|     # test build_bar_graph setting values
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|     dataset = [[45, 67, 34, 22], [22, 45, 12, 34], [30, 55, 69, 37]]
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|     x_axis_values = [1, 2, 3, 4]
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| 
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|     output_html_2 = "graph_2.html"
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|     output_pdf_2 = "graph_2.pdf"
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| 
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|     # test build_bar_graph with defaults
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|     graph = lf_bar_graph(_data_set=dataset,
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|                          _xaxis_name="stations",
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|                          _yaxis_name="Throughput 2 (Mbps)",
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|                          _xaxis_categories=x_axis_values,
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|                          _graph_image_name="Bi-single_radio_2.4GHz",
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|                          _label=["bi-downlink", "bi-uplink", 'uplink'],
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|                          _color=None,
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|                          _color_edge='red')
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|     graph_html_obj = """
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|         <img align='center' style='padding:15;margin:5;width:1000px;' src=""" + "%s" % (graph.build_bar_graph()) + """ border='1' />
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|         <br><br>
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|         """
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|     # 
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|     test_file = open(output_html_2, "w")
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|     test_file.write(graph_html_obj)
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|     test_file.close()
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| 
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|     # write to pdf
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|     # write logic to generate pdf here
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|     # wget https://github.com/wkhtmltopdf/packaging/releases/download/0.12.6-1/wkhtmltox_0.12.6-1.focal_amd64.deb
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|     # sudo apt install ./wkhtmltox_0.12.6-1.focal_amd64.deb
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|     options = {"enable-local-file-access": None}  # prevent eerror Blocked access to file
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|     pdfkit.from_file(output_html_2, output_pdf_2, options=options)
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