{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Different ways to load an input graph\n",
"\n",
"We recommend using the GML graph format to load a graph. You can also use the DOT format, which requires additional dependencies (either pydot or pygraphviz). \n",
"\n",
"DoWhy supports both loading a graph as a string, or as a file (with the extensions 'gml' or 'dot').\n",
"\n",
"Below is an example showing the different ways of loading the same graph. "
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import os, sys\n",
"import random\n",
"sys.path.append(os.path.abspath(\"../../\"))"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"\n",
"import dowhy\n",
"from dowhy.do_why import CausalModel\n",
"from IPython.display import Image, display"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## I. Generating dummy data\n",
"We generate some dummy data for three variables: X, Y and Z. "
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
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