Open ianozsvald opened 4 years ago
A quick test with %timeit suggests that an Int64 is 4x slower than an int64...but this isn't conclusive. Since an Int64 doesn't have a .values I can't use my usual loop so this requires a bit more work.
do these two behave differently? df.mean() vs df.apply(np.mean) to avoid using df.values.mean()
df.mean()
df.apply(np.mean)
df.values.mean()
A quick test with %timeit suggests that an Int64 is 4x slower than an int64...but this isn't conclusive. Since an Int64 doesn't have a .values I can't use my usual loop so this requires a bit more work.