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In Python using seaborn commands, what method can I use to determine whether or not data and annot have identical shapes?

asked 2022-09-06 11:00:00 +0000

djk gravatar image

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answered 2022-07-22 20:00:00 +0000

pufferfish gravatar image

You can use the sns.utils function matrix_shape() to compare the shapes of the data and annot matrices.

Here is an example code snippet:

import seaborn as sns
from seaborn.utils import matrix_shape

# Generate data and annot matrices
data = sns.load_dataset("flights").pivot("month", "year", "passengers")
annot = data.copy()
annot[data < 300] = ""

# Check the shapes of the data and annot matrices
if matrix_shape(data) != matrix_shape(annot):
    print("Data and annot matrices have different shapes.")
else:
    print("Data and annot matrices have identical shapes.")

In this example, matrix_shape() is used to compare the shapes of the data and annot matrices, and the appropriate message is printed based on the comparison result.

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Asked: 2022-09-06 11:00:00 +0000

Seen: 8 times

Last updated: Jul 22 '22