pydot

Python Decision Tree GraphViz

由 懵懂的女人 提交于 2019-12-13 01:43:00
问题 I'm attempting to implement a Decision Tree with scikit learn and then visualise the tree with Graphviz which I understand is the standard choice for visualising DT. I'm using PyCharm, anaconda, Python 2.7 and OS X El Capitan. I've installed pydot and Graphviz with PIP install as far as I can tell and have also installed them directly in Pycharm but whatever I do I continuously get a 'No module named graphviz'. from sklearn.datasets import load_iris from sklearn import tree #import graphviz

Html Horizontal line error graphviz

由 爷，独闯天下 提交于 2019-12-11 13:17:55
问题 I'm needing to create subgraph cluster have a label with line separation from nodes. subgraph cluster_0{ label=< <B>process #1</B> <HR/> > node [shape=none] t1 [label="label1"] t2 [label="label2"] t3 [label="label 3"] node [shape=box group=a style=filled fillcolor="red;.5:white" height=.2 label = "" ] A [ fillcolor="red;0.3:white" ] B [fillcolor="red;.9:white"] C node [shape=none fillcolor=white] t11 [label="label1"] t21 [label="label2"] t31 [label="label 3"] edge[style=invis]; A->B->C t1->t2

Sckit learn with GraphViz exports empty outputs

由 冷暖自知 提交于 2019-12-11 06:05:33
问题 I would like to export decision tree using sklearn. First I trained a decision tree classifier: self._selected_classifier = tree.DecisionTreeClassifier() self._selected_classifier.fit(train_dataframe, train_class) self._column_names = list(train_dataframe.columns.values) After that I used the following method in order to export the decision tree: def _create_graph_visualization(self): decision_tree_classifier = self._selected_classifier from sklearn.externals.six import StringIO dot_data =

Pydot Error involving parsing ':' character followed by number

由 …衆ロ難τιáo~ 提交于 2019-12-11 03:45:19
问题 So I was using pydot in python 2.7 from Anaconda and noticed I keep getting errors when I attempt to use certain strings in Pydot. The error I have isolated to: import pydot graph = pydot.Dot(graph_type='digraph', rankdir = 'LR') S = 'Total Flow Count ' + ':' + str(3) legend = pydot.Node('Legend', label=S, shape='rectangle') graph.add_node(legend) Whenever I run this I get the following output: Traceback (most recent call last): File "path\of\my\code\errorisolate.py", line 13, in <module>

NameError: global name 'dot_parser' is not defined

由 天大地大妈咪最大 提交于 2019-12-11 01:20:10
问题 I was playing with the decision tree algorithm and trying to plot the tree. However the IDE reported following error: Couldn't import dot_parser, loading of dot files will not be possible. <class 'pandas.core.frame.DataFrame'> Traceback (most recent call last): File "C:/Users/s152730/Desktop/exe1.py", line 70, in <module> graph = pydot.graph_from_dot_data(test.getvalue()) File "C:\Python27\lib\site-packages\pydot.py", line 220, in graph_from_dot_data return dot_parser.parse_dot_data(data)

Edges between two subgraphs in pydot

由 旧时模样 提交于 2019-12-10 08:14:19
问题 Does anyone know how to add an edge between two subgraphs (clusters) in pydot? callgraph = pydot.Dot(graph_type='digraph',fontname="Verdana") cluster_foo=pydot.Cluster('foo',label='foo') cluster_foo.add_node(pydot.Node('foo_method_1',label='method_1')) callgraph.add_subgraph(cluster_foo) cluster_bar=pydot.Cluster('bar',label='Component1') cluster_bar.add_node(pydot.Node('bar_method_a')) callgraph.add_subgraph(cluster_bar) I tried: callgraph.add_edge(pydot.Edge("foo","bar")) but doesn't work.

Plotting a decision tree with pydot

由 北城余情 提交于 2019-12-09 12:50:26
问题 I have trained a decision tree (Python dictionary) as below. Now I am trying to plot it using pydot. In defining each node of the tree (pydot graph), I appoint it a unique (and verbose) name and a brief label. My problem is that in the resulting figure that I get by writing to a .png, I see the verbose node names and not the node labels . I have followed the answer by @Martijn Pieters here. I do not know what I am missing, any ideas? import pydot tree= {'salary': {'41k-45k': 'junior', '46k

pydot: is it possible to plot two different nodes with the same string in them?

由 随声附和 提交于 2019-12-06 20:59:56
问题 I'm using pydot in order to draw graphs in python. I'd like to represent a decision tree, say something like (a1,a2,a3 are attributes and two classes are 0 and 1: a1>3 / \ a2>10 a3>-7 / \ / \ 1 0 1 0 However, using pydot, only two leaves are created and the tree looks like this (png attached): a1>3 / \ a2>10 a3>-7 | X | 1 0 Now, in this simple case the logic is fine but in larger trees it is messy internal nodes belonging to different branches are unified. The simple code I'm using is: import

pydot: is it possible to plot two different nodes with the same string in them?

由 岁酱吖の 提交于 2019-12-05 03:36:21
I'm using pydot in order to draw graphs in python. I'd like to represent a decision tree, say something like (a1,a2,a3 are attributes and two classes are 0 and 1: a1>3 / \ a2>10 a3>-7 / \ / \ 1 0 1 0 However, using pydot, only two leaves are created and the tree looks like this (png attached): a1>3 / \ a2>10 a3>-7 | X | 1 0 Now, in this simple case the logic is fine but in larger trees it is messy internal nodes belonging to different branches are unified. The simple code I'm using is: import pydot graph = pydot.Dot(graph_type='graph') edge = pydot.Edge("a_1>3", "a_2>10") graph.add_edge(edge)

Django Model Graph (pydot) Error

由 主宰稳场 提交于 2019-12-04 19:23:50
I have recently started working on a big Django project with existing complicated model. I needed to visualize that model, so I decided to use django-extensions (namely pygraphviz ). But unfortunately, failed to install pygraphviz on windows using pip, so I installed pydot . When Running the following command on windows cmd: python manage.py graph_models --pydot -a -g -o my_project_visualized.png I get the following Error: AttributeError: 'list' object has no attribute 'write' Any Suggestion of how to solve this issue? You must use older pydot . Version 1.1.0 works for me. Install with: pip
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