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In the Pandas API on Spark, which setting determines the maximum number of rows displayed in top-n-based visualizations like plot.bar and plot.pie?
In the Pandas API on Spark, which setting determines the maximum number of rows displayed in top-n-based visualizations like plot.bar and plot.pie?
Real Exam
A
compute.default_index_type
0.0%
B
plotting.max_rows
100.0%
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