Python CSV Module - Reading Files and Skipping Rows

In this video, we'll learn how to read CSV data from a file into Python applications, using the csv module.

We'll learn about the csv.reader object, and the csv.DictReader object.

We'll also learn how to skip rows in our file that are not relevant to the data, and how to use the next() built-in and itertools.islice() to skip rows.

Finally, we'll quickly demonstrate how easy it is to load CSV data into Pandas DataFrames.

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00:00 Intro
01:22 Reading file with csv reader
03:15 Reading file with csv DictReader
04:58 Skipping row with next() built-in
07:49 Skipping multiple rows with next() built-in
08:16 Skipping rows with itertools islice function
09:45 Reading CSV file with Pandas

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? ??????? ??????? ??? ???????????:
NOAA Data: https://gml.noaa.gov/ccgg/trends/data.html
Python CSV module: https://docs.python.org/3/library/csv.html
itertools.islice: https://docs.python.org/3/library/itertools.html#itertools.islice
Pandas read_csv: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html

#python #csv #pandas