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How do I read a specific column in a CSV file in pandas?

Use pandas.read_csv() to read a specific column from a CSV file. To read a CSV file, call pd. read_csv(file_name, usecols=cols_list) with file_name as the name of the CSV file, delimiter as the delimiter, and cols_list as the list of specific columns to read from the CSV file.


How do I select a column from a CSV file in Python?

Extract csv file specific columns to list in Python1Make a list of columns that have to be extracted.2Use read_csv() method to extract the csv file into data frame.3Print the exracted data.4Plot the data frame using plot() method.5To display the figure, use show() method.Extract csv file specific columns to list in Python - Tutorialspoint

How do I view a specific column in pandas?

Selecting columns based on their name This is the most basic way to select a single column from a dataframe, just put the string name of the column in brackets. Returns a pandas series. Passing a list in the brackets lets you select multiple columns at the same time.

How do I read a specific column in Excel using pandas?

To tell pandas to start reading an Excel sheet from a specific row, use the argument header = 0-indexed row where to start reading. By default, header=0, and the first such row is used to give the names of the data frame columns. To skip rows at the end of a sheet, use skipfooter = number of rows to skip.

How do I read a specific cell value from a csv file in Python?

Here are the basic steps for reading a CSV file with the builtin csv Python module.1Open a CSV file for reading.2Pass the file handler to the CSV reader.3Iterate through the rows of the file.Reading CSV Data with Python - DEV Community

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