Note
Click here to download the full example code
TwinY Trends twin_trends¶
Wafer Trend Charts by Flash Field with Dual Y-axis
Have the advantage of double Y-axis, we’re able to put two very different variables into same subplot for comparison. Take below chart for example, there’s ~200ohm gap between MR & MRR, yet two variables have similar sigma. You can find that MR basically overlaps with MRR, the correlation between MR & `MRR could be easily deduced from this chart.
from wfmap.data import load_data
from wfmap import twin_trends
import scipy.stats.distributions as dist
data = load_data().query('80<MR<180')
norm = dist.norm_gen()
data['MRR'] = 200 + data['MR'] + \
norm.rvs(data['MR'].median(), data['MR'].std(), size=len(data['MR']))
fig = twin_trends(data, 'MR', 'MRR')
# When two variables not only have very different mean, the sigma is also not at the same level. The scale could no longer keep the same for Y & 2nd-Y axis, then need to adjust it as `fix_scale=False`.
fig2 = twin_trends(data, 'MR', 'HDI', fix_scale=False)
Total running time of the script: ( 0 minutes 2.916 seconds)
Download Python source code: plot_7_twin_trends.py