Visualization¶
This section covers some tools to visualize your data and model.
Graphviz: Create a Flowchart to Capture Your Ideas in Python¶
A flowchart is helpful for summarizing and visualizing your workflow. This also helps your team understand your workflow. Wouldn’t it be nice if you could create a flowchart using Python?
Graphviz makes it easy to create a flowchart like below.
!pip install graphviz
from graphviz import Graph
# Instantiate a new Graph object
dot = Graph('Data Science Process', format='png')
# Add nodes
dot.node('A', 'Get Data')
dot.node('B', 'Clean, Prepare, & Manipulate Data')
dot.node('C', 'Train Model')
dot.node('D', 'Test Data')
dot.node('E', 'Improve')
# Connect these nodes
dot.edges(['AB', 'BC', 'CD', 'DE'])
# Save chart
dot.render('data_science_flowchart', view=True)
'data_science_flowchart.png'
dot
folium: Create an Interactive Map in Python¶
!pip install folium
If you want to create a map provided the location in a few lines of code, try folium. Folium is a Python library that allows you to create an interactive map.
import folium
m = folium.Map(location=[45.5236, -122.6750])
tooltip = 'Click me!'
folium.Marker([45.3288, -121.6625], popup='<i>Mt. Hood Meadows</i>',
tooltip=tooltip).add_to(m)
m
View the document of folium here.
I used this library to view the locations of the owners of top machine learning repositories. Pretty cool to see their locations through an interactive map.
dtreeviz: Visualize and Interpret a Decision Tree Model¶
!pip install dtreeviz
If you want to find an easy way to visualize and interpret a decision tree model, use dtreeviz.
from dtreeviz.trees import dtreeviz
from sklearn import tree
from sklearn.datasets import load_wine
wine = load_wine()
classifier = tree.DecisionTreeClassifier(max_depth=2)
classifier.fit(wine.data, wine.target)
vis = dtreeviz(
classifier,
wine.data,
wine.target,
target_name="wine_type",
feature_names=wine.feature_names,
)
vis.view()
findfont: Font family ['Arial'] not found. Falling back to DejaVu Sans.
findfont: Font family ['Arial'] not found. Falling back to DejaVu Sans.
findfont: Font family ['Arial'] not found. Falling back to DejaVu Sans.
findfont: Font family ['Arial'] not found. Falling back to DejaVu Sans.
The image below shows the output of dtreeviz when applying it on DecisionTreeClassifier.
