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Is there a built-in way to use read_csv
to read only the first n
lines of a file without knowing the length of the lines ahead of time? I have a large file that takes a long time to read, and occasionally only want to use the first, say, 20 lines to get a sample of it (and prefer not to load the full thing and take the head of it).
If I knew the total number of lines I could do something like footer_lines = total_lines - n
and pass this to the skipfooter
keyword arg. My current solution is to manually grab the first n
lines with python and StringIO it to pandas:
import pandas as pd
from StringIO import StringIO
n = 20
with open("big_file.csv", "r") as f:
head = "".join(f.readlines(n))
df = pd.read_csv(StringIO(head))
It"s not that bad, but is there a more concise, "pandasic" (?) way to do it with keywords or something?
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New York | 2023-03-22
io Python module is always a bit confusing 😭 Way to read first few lines for pandas dataframe is not the only problem I encountered. Will use it in my bachelor thesis
Singapore | 2023-03-22
I was preparing for my coding interview, thanks for clarifying this - Way to read first few lines for pandas dataframe in Python is not the simplest one. Will use it in my bachelor thesis
Milan | 2023-03-22
Simply put and clear. Thank you for sharing. Way to read first few lines for pandas dataframe and other issues with time Python module was always my weak point 😁. Checked yesterday, it works!