Map() function accepts a function & input list as arguments. But we passed it into the map() function as an argument along with tuple() function as callback i.e., mapped_object = map(tuple, csv_reader) We opened the csv file in read mode and then passed the file object to csv.reader() function.It returned an iterator csv_reader, with which we can iterate over all the rows of csv. List_of_tuples = list(map(tuple, csv_reader)) # Get all rows of csv from csv_reader object as list of tuples # pass the file object to reader() to get the reader object With open('students.csv', 'r') as read_obj: Let’s load all the contents of students.csv to a list of tuples, where each tuple in the list represents a row and each value in the tuple represents a cell / column value for that particular row. Read csv into list of tuples using Python lumns gives column names, so we converted that to a list and inserted at the start of the rows list. So, we iterated over all rows of this 2D Numpy Array using list comprehension and created a list of lists. As Dataframe.values returns a 2D numpy representation of all rows of Dataframe excluding header. We loaded the csv to a Dataframe using read_csv() function. It created a list of lists containing all rows of csv including header and print that list of lists. List_of_rows.insert(0, df.columns.to_list()) # Insert Column names as first list in list of lists Then we need to insert it in list separately in the end of the above example, like this, import pandas as pd So, if you want header too in this list of lists, In above example, header of csv was skipped by default. Use Pandas to read csv into a list of lists with header Where each list represents a row of csv and each item in the list represents a cell / column in that row. As Dataframe.values returns a 2D Numpy representation of all rows of Dataframe excluding header. It created a list of lists containing all rows of csv except header and print that list of lists. # User list comprehension to create a list of lists from Dataframe rows We can achieve that easily using pandas, import pandas as pdĭf = pd.read_csv('students.csv', delimiter=',') Suppose we want to read all rows into a list of lists except header. In the previous example, we loaded all rows (including header) into a list of lists. Output: Value in cell at 3rd row and 2nd column : John Use Pandas to read csv into a list of lists without header Print('Value in cell at 3rd row and 2nd column : ', value) list_of_rows (created above), let’s select the value from csv at row number 3 and column number 2, # select the value from csv at row number 3 and column number 2 We can also select an individual element in csv file by row & column number using this list of lists created above. Select specific value in csv by specific row and column number where each list represents a row of csv and each item in the list represents a cell / column in that row.
But we passed this iterator object to list() function, which return a list of lists i.e. It returned an iterator, which can be used to iterate over all the lines of csv file. We opened the file in read mode and then passed the file object to csv.reader() function. Python - Access Nth item in List Of Tuples Python - Check if a value is in Dictionary Python - Returning Multiple Values in Function
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