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spencer tintorri
6,184 PointsAppending [fake_log] at ~11:30
Appending fake_log fails, because the shapes don't match
study_minutes = np.append(study_minutes, fake_log, axis=0)
The workaround is to append [fake_log]
study_minutes = np.append(study_minutes, [fake_log], axis=0)
I wasn't clear on why this works. The best I can come up with is:
# the previous study_minutes was shape (2, 100)
# np.append returns a new array
# we're seeding this new array with the original study_minutes
# and appending a new, 3rd row of 100 items, which is [fake_log]
# the new returned array is shape (3, 100)
# trying to append fake_log (without brackets) will error
# because study_minutes is 2d and fake_log is 1d
# the workaround is to append [fake_log] (with brackets)
# [fake_log] is a list, whose contents are 1 array: fake_log
# [fake_log] is a 2d object, and matches the 2d shape of
# study_minutes, and can be appended using np.append
Can someone help explain this part a bit better? Thank you.