mirror of
https://github.com/Telecominfraproject/wlan-lanforge-scripts.git
synced 2025-11-04 12:48:00 +00:00
473 lines
19 KiB
Python
Executable File
473 lines
19 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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NAME: lf_graph.py
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PURPOSE:
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Common Library for generating graphs for LANforge output
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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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EXAMPLE:
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see: /py-scritps/lf_report_test.py for example
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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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INCLUDE_IN_README
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"""
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import sys
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import os
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import importlib
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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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sys.path.append(os.path.join(os.path.abspath(__file__ + "../../../")))
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lf_csv = importlib.import_module("py-scripts.lf_csv")
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lf_csv = lf_csv.lf_csv
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# internal candela references included during intial phases, to be deleted at future date
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# graph reporting classes
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class lf_bar_graph():
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def __init__(self, _data_set=[[30.4, 55.3, 69.2, 37.1], [45.1, 67.2, 34.3, 22.4], [22.5, 45.6, 12.7, 34.8]],
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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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_xaxis_label=["a", "b", "c", "d"],
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_graph_title="",
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_title_size=16,
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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=1,
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_xticks_font = None,
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_xaxis_value_location = 0,
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_text_font=None,
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_text_rotation=None,
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_grp_title = "",
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_legend_handles=None,
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_legend_loc="best",
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_legend_box=None,
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_legend_ncol=1,
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_legend_fontsize=None,
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_dpi=96,
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_enable_csv=False):
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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.xaxis_label = _xaxis_label
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self.title = _graph_title
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self.title_size = _title_size
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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._xaxis_value_location = _xaxis_value_location
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self.text_font = _text_font
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self.text_rotation = _text_rotation
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self.grp_title = _grp_title
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self.enable_csv = _enable_csv
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self.lf_csv = lf_csv()
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self.legend_handles = _legend_handles
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self.legend_loc = _legend_loc
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self.legend_box = _legend_box
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self.legend_ncol = _legend_ncol
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self.legend_fontsize = _legend_fontsize
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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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fig = plt.subplots(figsize=self.figsize)
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i = 0
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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, h,
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ha='center', va='bottom', rotation=self.text_rotation, fontsize=self.text_font)
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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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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([i + self._xaxis_value_location for i in np.arange(0, len(self.data_set[0]), step=self.xaxis_step)],
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self.xaxis_categories, fontsize=self.xticks_font)
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plt.legend(handles=self.legend_handles, loc=self.legend_loc, bbox_to_anchor=self.legend_box, ncol=self.legend_ncol, fontsize=self.legend_fontsize)
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plt.suptitle(self.title, fontsize=self.title_size)
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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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if self.enable_csv:
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if self.data_set is not None and self.xaxis_categories is not None:
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if len(self.xaxis_categories) == len(self.data_set[0]):
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self.lf_csv.columns = []
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self.lf_csv.rows = []
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self.lf_csv.columns.append(self.xaxis_name)
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self.lf_csv.columns.extend(self.label)
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self.lf_csv.rows.append(self.xaxis_categories)
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self.lf_csv.rows.extend(self.data_set)
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self.lf_csv.filename = f"{self.graph_image_name}.csv"
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self.lf_csv.generate_csv()
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else:
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raise ValueError("Length and x-axis values and y-axis values should be same.")
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else:
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print("No Dataset Found")
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print("{}.csv".format(self.graph_image_name))
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return "%s.png" % self.graph_image_name
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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_name1",
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_color=["r", "y"],
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_figsize=(9, 4),
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_enable_csv=True):
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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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self.enable_csv = _enable_csv
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self.lf_csv = lf_csv()
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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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if self.enable_csv:
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self.lf_csv.columns = self.label
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self.lf_csv.rows = self.y_data_set
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self.lf_csv.filename = f"{self.graph_image_name}.csv"
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self.lf_csv.generate_csv()
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return "%s.png" % self.graph_image_name
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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_name2",
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_color=["b", "g"],
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_figsize=(9, 4),
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_enable_csv=True):
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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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self.enable_csv = _enable_csv
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self.lf_csv = lf_csv()
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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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if self.enable_csv:
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self.lf_csv.columns = self.label
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self.lf_csv.rows = self.data_set
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self.lf_csv.filename = f"{self.graph_image_name}.csv"
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self.lf_csv.generate_csv()
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return "%s.png" % (self.graph_image_name)
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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_name3",
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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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_enable_csv=True):
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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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self.enable_csv = _enable_csv
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self.lf_csv = lf_csv()
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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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fig, ax = plt.subplots(figsize=self.figsize)
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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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ind = np.arange(n) + .15
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width = 0.3
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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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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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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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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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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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if self.enable_csv:
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self.lf_csv.columns = self.label
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self.lf_csv.rows = self.data_set
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self.lf_csv.filename = f"{self.graph_image_name}.csv"
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self.lf_csv.generate_csv()
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return "%s.png" % self.graph_image_name
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class lf_line_graph():
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def __init__(self,_data_set=[[30.4, 55.3, 69.2, 37.1], [45.1, 67.2, 34.3, 22.4], [22.5, 45.6, 12.7, 34.8]],
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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, 5],
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_xaxis_label=["a", "b", "c", "d", "e"],
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_graph_title="",
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_title_size=16,
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_graph_image_name="image_name",
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_label=["bi-downlink", "bi-uplink", 'uplink'],
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_font_weight='bold',
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_color=['forestgreen', 'c', 'r', 'g', 'b', 'p'],
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_figsize=(10, 5),
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_xaxis_step = 5,
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_xticks_font = None,
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_text_font=None,
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_legend_handles=None,
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_legend_loc="best",
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_legend_box=None,
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_legend_ncol=1,
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_legend_fontsize=None,
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_marker=None,
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_dpi=96,
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_enable_csv=False):
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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.xaxis_label = _xaxis_label
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self.grp_title = _graph_title
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self.title_size = _title_size
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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.font_weight = _font_weight
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self.figsize = _figsize
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self.xaxis_step = _xaxis_step
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self.xticks_font = _xticks_font
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self.text_font = _text_font
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self.marker = _marker
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self.enable_csv = _enable_csv
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self.lf_csv = lf_csv()
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self.legend_handles = _legend_handles
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self.legend_loc = _legend_loc
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self.legend_box = _legend_box
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self.legend_ncol = _legend_ncol
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self.legend_fontsize = _legend_fontsize
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def build_line_graph(self):
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fig = plt.subplots(figsize=self.figsize)
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i = 0
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for data in self.data_set:
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plt.plot(self.xaxis_categories, data, color=self.color[i], label=self.label[i], marker = self.marker)
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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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plt.legend(handles=self.legend_handles, loc=self.legend_loc, bbox_to_anchor=self.legend_box, ncol=self.legend_ncol, fontsize=self.legend_fontsize)
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plt.suptitle(self.grp_title, fontsize=self.title_size)
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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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if self.enable_csv:
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if self.data_set is not None:
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self.lf_csv.columns = self.label
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self.lf_csv.rows = self.data_set
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self.lf_csv.filename = f"{self.graph_image_name}.csv"
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self.lf_csv.generate_csv()
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else:
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print("No Dataset Found")
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print("{}.csv".format(self.graph_image_name))
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return "%s.png" % self.graph_image_name
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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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# 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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# 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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# 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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output_html_2 = "graph_2.html"
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output_pdf_2 = "graph_2.pdf"
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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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_enable_csv=True)
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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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# 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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