Note
Click here to download the full example code
Categorical Heatmap cat_heatmap¶
WaferMap for Categorical Variable
cat_heatmap is essentially a variant of num_heatmap. Internally, the categorical variable is first transformed to integers according to the rank of each unique count. And then plot the heatmap using the intermediate numbers.
Below example demonstrates the simplest case of creating a categorical heatmap. You can have more customization by providing code_dict if you want to have some transformation before the plotting, eg. merge some items or change perticular item name. You can also set the qty_limit to control the max items will be presented in the plot, categories which are beyond the qty_limit will be counted together as Others.
Out:
/Users/xlhaw/opt/anaconda3/envs/py39a/lib/python3.9/site-packages/wfmap-1.0.4-py3.9.egg/wfmap/__init__.py:209: FutureWarning: The series.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
from wfmap.data import load_data
from wfmap import cat_heatmap
data = load_data()
fig = cat_heatmap(data, 'DEFECT')
Total running time of the script: ( 0 minutes 2.377 seconds)
Download Python source code: plot_1_cheatmap.py