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Data labels missing on x-axis #93
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This is actually a feature! If you pass a dataset with more than fifty columns to The fifty-column breakpoint is somewhat arbitrary, but the problem it solves is not: large datasets with many, many columns would have labels that are too small to be readable, or which would collide with one another's bounding boxes, becoming gibberish. Here's the exact code that implements this behavior. As you can see, you can override this behavior by manually specifying %matplotlib inline
from quilt.data.ResidentMario import missingno_data as msno
msno.bar(df_train.sample(300))
msno.matrix(df_train.sample(300)) To this: %matplotlib inline
from quilt.data.ResidentMario import missingno_data as msno
msno.bar(df_train.sample(300), labels=True)
msno.matrix(df_train.sample(300), labels=True) You may need to pass a Hope that's helpful. |
That worked! Thank you so much |
thanks! |
Thank a lot! ✨ |
Hello,
The labels for the column names don't appear on the x-axis when I use bar and matrix plots. I tried this using Jupyter notebook, on Python 3.
I tried copying off someone else's notebook; this person has used the same code as the snippets below. They were able to print the column names, but I wasn't.
I did this on terminal first:
And then
Bar chart:

Matrix chart:

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