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annotate env/lib/python3.9/site-packages/pydot-1.4.2.dist-info/METADATA @ 0:4f3585e2f14b draft default tip

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"planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
author shellac
date Mon, 22 Mar 2021 18:12:50 +0000
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1 Metadata-Version: 2.1
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2 Name: pydot
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3 Version: 1.4.2
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4 Summary: Python interface to Graphviz's Dot
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5 Home-page: https://github.com/pydot/pydot
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6 Author: Ero Carrera
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7 Author-email: ero.carrera@gmail.com
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8 Maintainer: Peter Nowee
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9 Maintainer-email: peter@peternowee.com
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10 License: MIT
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11 Project-URL: Changelog, https://github.com/pydot/pydot/blob/master/ChangeLog
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12 Project-URL: Bug Tracker, https://github.com/pydot/pydot/issues
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13 Keywords: graphviz dot graphs visualization
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14 Platform: any
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15 Classifier: Development Status :: 5 - Production/Stable
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16 Classifier: Intended Audience :: Developers
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17 Classifier: Intended Audience :: Science/Research
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18 Classifier: License :: OSI Approved :: MIT License
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19 Classifier: Natural Language :: English
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20 Classifier: Operating System :: OS Independent
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21 Classifier: Programming Language :: Python :: 2
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22 Classifier: Programming Language :: Python :: 2.7
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23 Classifier: Programming Language :: Python :: 3
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24 Classifier: Programming Language :: Python :: 3.4
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25 Classifier: Programming Language :: Python :: 3.5
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26 Classifier: Programming Language :: Python :: 3.6
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27 Classifier: Programming Language :: Python :: 3.7
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28 Classifier: Programming Language :: Python :: 3.8
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29 Classifier: Programming Language :: Python :: 3.9
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30 Classifier: Topic :: Scientific/Engineering :: Visualization
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31 Classifier: Topic :: Software Development :: Libraries :: Python Modules
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32 Requires-Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*
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33 Description-Content-Type: text/markdown
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34 Requires-Dist: pyparsing (>=2.1.4)
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35
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36 [![Build Status](https://www.travis-ci.com/pydot/pydot.svg?branch=master)](https://www.travis-ci.com/pydot/pydot)
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37 [![PyPI](https://img.shields.io/pypi/v/pydot.svg)](https://pypi.org/project/pydot/)
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38
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39
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40 About
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41 =====
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42
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43 `pydot`:
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44
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45 - is an interface to [Graphviz][1]
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46 - can parse and dump into the [DOT language][2] used by GraphViz,
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47 - is written in pure Python,
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48
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49 and [`networkx`][3] can convert its graphs to `pydot`.
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50
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51 Development occurs at [GitHub][11], where you can report issues and
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52 contribute code.
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53
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54
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55 Examples
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56 ========
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57
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58 The examples here will show you the most common input, editing and
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59 output methods.
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60
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61 Input
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62 -----
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63
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64 No matter what you want to do with `pydot`, it will need some input to
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65 start with. Here are 3 common options:
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66
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67 1. Import a graph from an existing DOT-file.
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68
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69 Use this method if you already have a DOT-file describing a graph,
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70 for example as output of another program. Let's say you already
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71 have this `example.dot` (based on an [example from Wikipedia][12]):
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72
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73 ```dot
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74 graph my_graph {
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75 bgcolor="yellow";
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76 a [label="Foo"];
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77 b [shape=circle];
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78 a -- b -- c [color=blue];
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79 }
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80 ```
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81
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82 Just read the graph from the DOT-file:
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83
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84 ```python
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85 import pydot
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86
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87 graphs = pydot.graph_from_dot_file('example.dot')
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88 graph = graphs[0]
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89 ```
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90
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91 2. or: Parse a graph from an existing DOT-string.
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92
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93 Use this method if you already have a DOT-string describing a
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94 graph in a Python variable:
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95
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96 ```python
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97 import pydot
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98
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99 dot_string = """graph my_graph {
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100 bgcolor="yellow";
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101 a [label="Foo"];
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102 b [shape=circle];
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103 a -- b -- c [color=blue];
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104 }"""
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105
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106 graphs = pydot.graph_from_dot_data(dot_string)
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107 graph = graphs[0]
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108 ```
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109
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110 3. or: Create a graph from scratch using pydot objects.
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111
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112 Now this is where the cool stuff starts. Use this method if you
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113 want to build new graphs from Python.
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114
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115 ```python
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116 import pydot
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117
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118 graph = pydot.Dot('my_graph', graph_type='graph', bgcolor='yellow')
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119
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120 # Add nodes
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121 my_node = pydot.Node('a', label='Foo')
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122 graph.add_node(my_node)
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123 # Or, without using an intermediate variable:
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124 graph.add_node(pydot.Node('b', shape='circle'))
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125
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126 # Add edges
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127 my_edge = pydot.Edge('a', 'b', color='blue')
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128 graph.add_edge(my_edge)
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129 # Or, without using an intermediate variable:
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130 graph.add_edge(pydot.Edge('b', 'c', color='blue'))
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131 ```
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132
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133 Imagine using these basic building blocks from your Python program
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134 to dynamically generate a graph. For example, start out with a
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135 basic `pydot.Dot` graph object, then loop through your data while
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136 adding nodes and edges. Use values from your data as labels, to
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137 determine shapes, edges and so forth. This way, you can easily
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138 build visualizations of thousands of interconnected items.
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139
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140 4. or: Convert a NetworkX graph to a pydot graph.
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141
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142 NetworkX has conversion methods for pydot graphs:
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143
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144 ```python
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145 import networkx
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146 import pydot
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147
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148 # See NetworkX documentation on how to build a NetworkX graph.
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149
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150 graph = networkx.drawing.nx_pydot.to_pydot(my_networkx_graph)
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151 ```
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152
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153 Edit
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154 ----
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155
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156 You can now further manipulate your graph using pydot methods:
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157
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158 - Add further nodes and edges:
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159
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160 ```python
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161 graph.add_edge(pydot.Edge('b', 'd', style='dotted'))
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162 ```
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163
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164 - Edit attributes of graph, nodes and edges:
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165
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166 ```python
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167 graph.set_bgcolor('lightyellow')
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168 graph.get_node('b')[0].set_shape('box')
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169 ```
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170
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171 Output
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172 ------
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173
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174 Here are 3 different output options:
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175
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176 1. Generate an image.
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177
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178 To generate an image of the graph, use one of the `create_*()` or
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179 `write_*()` methods.
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180
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181 - If you need to further process the output in Python, the
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182 `create_*` methods will get you a Python bytes object:
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183
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184 ```python
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185 output_graphviz_svg = graph.create_svg()
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186 ```
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187
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188 - If instead you just want to save the image to a file, use one of
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189 the `write_*` methods:
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190
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191 ```python
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192 graph.write_png('output.png')
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193 ```
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194
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195 2. Retrieve the DOT string.
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196
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197 There are two different DOT strings you can retrieve:
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198
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199 - The "raw" pydot DOT: This is generated the fastest and will
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200 usually still look quite similar to the DOT you put in. It is
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201 generated by pydot itself, without calling Graphviz.
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202
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203 ```python
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204 # As a string:
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205 output_raw_dot = graph.to_string()
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206 # Or, save it as a DOT-file:
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207 graph.write_raw('output_raw.dot')
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208 ```
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209
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210 - The Graphviz DOT: You can use it to check how Graphviz lays out
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211 the graph before it produces an image. It is generated by
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212 Graphviz.
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213
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214 ```python
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215 # As a bytes literal:
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216 output_graphviz_dot = graph.create_dot()
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217 # Or, save it as a DOT-file:
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218 graph.write_dot('output_graphviz.dot')
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219 ```
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220
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221 3. Convert to a NetworkX graph.
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222
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223 Here as well, NetworkX has a conversion method for pydot graphs:
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224
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225 ```python
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226 my_networkx_graph = networkx.drawing.nx_pydot.from_pydot(graph)
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227 ```
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228
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229 More help
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230 ---------
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231
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232 For more help, see the docstrings of the various pydot objects and
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233 methods. For example, `help(pydot)`, `help(pydot.Graph)` and
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234 `help(pydot.Dot.write)`.
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235
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236 More [documentation contributions welcome][13].
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237
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238
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239 Installation
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240 ============
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241
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242 From [PyPI][4] using [`pip`][5]:
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243
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244 `pip install pydot`
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245
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246 From source:
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247
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248 `python setup.py install`
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249
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250
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251 Dependencies
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252 ============
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253
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254 - [`pyparsing`][6]: used only for *loading* DOT files,
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255 installed automatically during `pydot` installation.
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256
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257 - GraphViz: used to render graphs as PDF, PNG, SVG, etc.
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258 Should be installed separately, using your system's
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259 [package manager][7], something similar (e.g., [MacPorts][8]),
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260 or from [its source][9].
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261
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262
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263 License
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264 =======
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265
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266 Distributed under an [MIT license][10].
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267
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268
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269 Contacts
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270 ========
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271
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272 Maintainers:
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273 - Sebastian Kalinowski <sebastian@kalinowski.eu> (GitHub: @prmtl)
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274 - Peter Nowee <peter@peternowee.com> (GitHub: @peternowee)
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275
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276 Original author: Ero Carrera <ero.carrera@gmail.com>
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277
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278
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279 [1]: https://www.graphviz.org
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280 [2]: https://en.wikipedia.org/wiki/DOT_%28graph_description_language%29
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281 [3]: https://github.com/networkx/networkx
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282 [4]: https://pypi.python.org/pypi
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283 [5]: https://github.com/pypa/pip
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284 [6]: https://github.com/pyparsing/pyparsing
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285 [7]: https://en.wikipedia.org/wiki/Package_manager
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286 [8]: https://www.macports.org
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287 [9]: https://gitlab.com/graphviz/graphviz
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288 [10]: https://github.com/pydot/pydot/blob/master/LICENSE
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289 [11]: https://github.com/pydot/pydot
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290 [12]: https://en.wikipedia.org/w/index.php?title=DOT_(graph_description_language)&oldid=1003001464#Attributes
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291 [13]: https://github.com/pydot/pydot/issues/130
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292
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293