Remove first x number of characters from each row in a column of a Python dataframe
It is worth noting Pandas "vectorised" str methods are no more than Python-level loops.
Assuming clean data, you will often find a list comprehension more efficient:
# Python 3.6.0, Pandas 0.19.2d = pd.concat([d]*10000, ignore_index=True)%timeit d['Report Number'].str[3:] # 12.1 ms per loop%timeit [i[3:] for i in d['Report Number']] # 5.78 ms per loopNote these aren't equivalent, since the list comprehension does not deal with null data and other edge cases. For these situations, you may prefer the Pandas solution.