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
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