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

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

Treat it like any other file object. If you want the nth line, iterate until you hit the nth line. with open(‘inputFile’, rb) as f: reader = csv. reader(f) for i, l in enumerate(reader): if i==5: try: print l[6] except IndexError: print “Nothing here!”

What is row range explain with example?

The ROWS function returns the count of rows in a given reference as a number. For example, =ROWS(A1:A5) returns 5, since the range A1:A5 contains 5 rows. ROWS takes just one argument, called array, which can be a range or array.

How do I read a csv file in a second line in Python?

How did it work ?

1. Open the file ‘students. csv’ in read mode and create a file object.
2. Create a reader object (iterator) by passing file object in csv. reader() function.
3. Now once we have this reader object, which is an iterator, then use this iterator with for loop to read individual rows of the csv as list of values.

How to get row from CSV file based on value?

Use the Where method, and use a match pattern to search on a specific column and value, for example: Summary: Microsoft Scripting Guy, Ed Wilson, talks about using Windows PowerShell to create a document in Microsoft Word, add a table, and email the document as an Summary: Learn how to release a COM object in Windows PowerShell.

How to call specific columns in CSV file?

Code I’ve looked at has led me to believe I can call the specific column by its corresponding number, so ie: Name would correspond to 2 and iterating through each row using row [2] would produce all the items in column 2. Only it doesn’t. Here’s what I’ve done so far:

How to extract a column from a CSV file?

Thanks to the way you can index and subset a pandas dataframe, a very easy way to extract a single column from a csv file into a variable is: The snippet above will produce a pandas Series and not dataframe . The suggestion from ayhan with usecols will also be faster if speed is an issue.

How to select rows from a Dataframe based on column values?

The query is the same as the one taken above. The iloc () takes only integers as an argument and thus, the mask array is passed as a parameter to the numpy’s flatnonzero () function that returns the index in the list where the value is not zero (false)