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doc/source/user_guide/enhancingperf.rst
@@ -243,9 +243,9 @@ We've gotten another big improvement. Let's check again where the time is spent:
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.. ipython:: python
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- %prun -l 4 apply_integrate_f(df['a'].to_numpy(),
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- df['b'].to_numpy(),
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- df['N'].to_numpy())
+ %%prun -l 4 apply_integrate_f(df['a'].to_numpy(),
+ df['b'].to_numpy(),
+ df['N'].to_numpy())
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As one might expect, the majority of the time is now spent in ``apply_integrate_f``,
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so if we wanted to make anymore efficiencies we must continue to concentrate our
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