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drawtree.py
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drawtree.py
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# import networkx as nx
# import matplotlib.pyplot as plt
# from networkx.drawing.nx_agraph import graphviz_layout
# # def dtree(treelist):
# # # Create an empty directed graph
# # G = nx.DiGraph()
# # # Add edges to the graph using the treelist
# # for sublist in treelist:
# # if len(sublist) != 3:
# # print("Invalid sublist in treelist: " + str(sublist))
# # continue
# # edge_value, u, v = sublist
# # G.add_edge(u, v, weight=edge_value)
# # # Set positions for the tree nodes using Graphviz layout
# # pos = graphviz_layout(G, prog='dot')
# # # Draw the graph with bold fonts
# # nx.draw(G, pos, with_labels=True, node_size=500, node_color='lightblue', font_size=10, font_weight='bold', edge_color='gray', width=1.5, arrows=True, arrowstyle='->', arrowsize=10)
# # # Add edge labels
# # labels = nx.get_edge_attributes(G, 'weight')
# # nx.draw_networkx_edge_labels(G, pos, edge_labels=labels)
# # # Show the graph
# # plt.axis('off')
# # plt.show()
# import pydot
# def _createTree(treevec, label=None):
# '''
# convert a tree from NODE data structure to Pydot Graph for visualisation
# '''
# P = pydot.Dot(graph_type='digraph', label=label, labelloc='top', labeljust='left')#, nodesep="1", ranksep="1")
# nodelist, edgelist = getNodesEdges(root)
# # pprint("NODELIST",nodelist)
# # pp.pprint(edgelist)
# var=0
# # Nodes
# for node in nodelist:
# n = pydot.Node(node[0], label=node[1])
# P.add_node(n)
# for ee in range(len(treevec)):
# # list=[1,treelist[1][e][0][1],"R"+str(treelist[1][e][1][1])]#[edgeValue,u,v]
# if len(treevec[ee][1])!=3:
# n = pydot.Node(var,label=treevec[ee][1])
# P.add_node(n)
# var=var+1
# n = pydot.Node(var,label=treevec[ee][2])
# P.add_node(n)
# e = pydot.Edge(*(var-1, var), label=1, dir='back')
# var=var+1
# elif len(treevec[ee][1])==3 and len(treevec[ee][1]) :
# # global nodereagents
# nodereagents[int(treevec[ee][1][1] + treevec[ee][1][2])].append(treevec[ee][2])
# n = pydot.Node(var,label=treevec[ee][1])
# P.add_node(n)
# var=var+1
# n = pydot.Node(var,label=treevec[ee][2])
# P.add_node(n)
# e = pydot.Edge(*(var-1, var), label=1, dir='back')
# var=var+1
# # Edges
# for edge in edgelist:
# e = pydot.Edge(*(edge[0][0], edge[1][0]), label=edge[1][2], dir='back')
# P.add_edge(e)
# for ee in range(len(treevec)):
# # list=[1,treelist[1][e][0][1],"R"+str(treelist[1][e][1][1])]#[edgeValue,u,v]
# if len(treevec[ee][1])!=3:
# # global nodereagents
# e = pydot.Edge(*((treevec[ee][1][1]),(treevec[ee][2])),label=treevec[ee][1][1]), dir='back')
# elif len(treevec[ee][1])==3:
# # global nodereagents
# nodereagents[int(treevec[ee][1][1] + treevec[ee][1][2])].append(treevec[ee][2])
# return P
# # ###############################################################################################
# # #############################################################################################
# # from IPython.display import Image, display
# # def _viewPydot(pydot):
# # '''
# # generates a visual plot of Pydot Graph
# # '''
# # pydot.write_png("output.png")
# # pydot.write_raw("output_raw.dot")
# # plt = Image(pydot.create_png(prog='dot'))
# # display(plt)
def dtree(treevec):
node_ids = {}
id_counter = 0
dot_file = "modified_graph.dot"
r=0
with open(dot_file,"w") as file:
file.truncate(0)
with open(dot_file, "w") as f:
f.write("digraph G {\n")
f.write("tree[label=< <B>MODIFIED TREE</B>> shape=RECTANGLE style=BOLD ]\n")
for edge in treevec:
e, u, v = edge
if u not in node_ids:
id_counter += 1
node_ids[u] = id_counter
if v not in node_ids:
if v[0]=="R":
r=r+100
else:
id_counter += 1
node_ids[v] = id_counter
f.write(' {} [label=< <B>{}</B>>];\n'.format(node_ids[u], u))
if v[0]=="R":
f.write(' {} [label=< <B>{}</B>>];\n'.format(r ,v))
f.write(' {} -> {} [label=< <B>{}</B>>];\n'.format(node_ids[u], r , e))
else :
f.write(' {} [label=< <B>{}</B>>];\n'.format(node_ids[v] ,v))
f.write(' {} -> {} [label=< <B>{}</B>>];\n'.format(node_ids[u], node_ids[v] , e))
f.write("}")
import graphviz
import pydot
def generate_png_from_dot(dot_file_path, output_png_path):
graph = pydot.graph_from_dot_file(dot_file_path)
graph[0].write_png(output_png_path)
from PIL import Image
def connect_images(image1_path, image2_path, output_path):
image1 = Image.open(image1_path)
image2 = Image.open(image2_path)
# Calculate the width and height of the final image
total_width = image1.width + image2.width
max_height = max(image1.height, image2.height)
# Create a new blank image with the calculated dimensions
new_image = Image.new('RGB', (total_width, max_height))
# Paste the first image on the left side
new_image.paste(image1, (0, 0))
# Paste the second image on the right side
new_image.paste(image2, (image1.width, 0))
# Save the final image
new_image.save(output_path)
from PIL import Image
def display_image(image_path):
image = Image.open(image_path)
image.show()
import pandas as pd
import pandas as pd
from openpyxl import load_workbook
import pandas as pd
from openpyxl import load_workbook
import csv
# def save_data_to_excel(data, file_path):
# file = open(file_path, 'a')
# file = csv.writer(file)
# file.writerow(data)
def save_data_to_excel(data, file_path):
# Define the column order
column_order = ['Ratio', 'Height', 'Loading Cycles (K)', 'Bendings (B)', 'Path Length (L)']
# Create a DataFrame object with specified column order
df = pd.DataFrame(data, columns=column_order)
# Load the existing Excel file
book = load_workbook(file_path)
writer = pd.ExcelWriter(file_path, engine='openpyxl')
writer.book = book
# Append the data to the existing sheet or create a new sheet
sheet_name = 'Sheet1' # Change to the desired sheet name
try:
writer.sheets = {ws.title: ws for ws in book.worksheets}
df.to_excel(writer, sheet_name=sheet_name, index=False, header=False, startrow=writer.sheets[sheet_name].max_row)
except KeyError:
df.to_excel(writer, sheet_name=sheet_name, index=False)
# Save the changes
writer.save()
writer.close()