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# Reading the last n lines of a file in Pandas

schedule Aug 10, 2023
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local_offer
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The method `read_csv(~)` has no parameter that allows you to directly read the last `n` lines.

# Solution

An indirect way of reading only the last `n` lines is to first fetch the total number of lines in the file, and then use the `skiprows` parameter.

Consider the following `my_data.txt` file:

``` A,B,C1,2,34,5,67,8,9 ```

To read the last 2 lines of the file:

``` def get_num_lines(fname): with open(fname) as f: for i, _ in enumerate(f): pass return i + 1num_lines = get_num_lines("my_data.txt")n = 2df = pd.read_csv("my_data.txt", skiprows=range(1,num_lines-n))df A B C0 4 5 61 7 8 9 ```

Note the following:

• we first begin by fetching the total number of lines in the file. In this case, `num_lines=4`.

• since the first row of the file represents the column labels, we skip rows starting from line `1`, as indicated by `range(1,_)`. If your file does not contain a header row, then simply set `skiprows=num_lines-n`.

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