![]() It would be nice if there was a way to automatically skip the n'th row as well as the n'th line.Īs a note, I was able to fix my issue with: import pandas as pdĭs = pd. If you want to skip heading call the next() built. > 5s 15s 20d 6s 14n 10s USGS 08041780 00:00 CDT 1.98 A Notice that each line in the CSV file is returned as a list of strings. > # may not have received Director's approval. Next: Write a Python program to create an object for writing and iterate over the rows to print the values. > # Some of the data that you have obtained from this U.S. Previous: Write a Python program to read specific columns of a given CSV file and print the content of the columns. I never know how many comment lines there are, but I know what the first couple of rows are. ![]() The head of the dataset is commented with '#', the first line after that are the labels, next comes a line that describes the date types, and last the data itself. I have a situation where I download some antiquated stream gauge data from the USGS. ![]() All of these answers miss one important point - the n'th line is the n'th line in the file, and not the n'th row in the dataset.
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