Reading rows from a CSV file in Python

Question

I have a CSV file, here is a sample of what it looks like:

Year:  Dec: Jan:
1      50   60
2      25   50
3      30   30
4      40   20
5      10   10


        

Answer 1

import csv

with open('filepath/filename.csv', "rt", encoding='ascii') as infile:
    read = csv.reader(infile)
    for row in read :
        print (row)

This will solve your problem. Don't forget to give the encoding.

Answer 2

#  This program reads columns in a csv file
import csv
ifile = open('years.csv', "r")
reader = csv.reader(ifile)

# initialization and declaration of variables
rownum = 0
year = 0
dec = 0
jan = 0
total_years = 0`

for row in reader:
    if rownum == 0:
        header = row  #work with header row if you like
    else:
    colnum = 0
    for col in row:
        if colnum == 0:
            year = float(col)
        if colnum == 1:
            dec = float(col)
        if colnum == 2:
            jan = float(col)
        colnum += 1
    # end of if structure

# now we can process results
if rownum != 0:
    print(year, dec, jan)
    total_years = total_years + year
    print(total_years)

# time to go after the next row/bar
rownum += 1

ifile.close()

A bit late but nonetheless... You need to create and identify the csv file named "years.csv":

Year Dec Jan 1 50 60 2 25 50 3 30 30 4 40 20 5 10 10

Answer 3

One can do it using pandas library.

Example:

import numpy as np
import pandas as pd

file = r"C:\Users\unknown\Documents\Example.csv"
df1 = pd.read_csv(file)
df1.head()

Answer 4

I just leave my solution here.

import csv
import numpy as np

with open(name, newline='') as f:
    reader = csv.reader(f, delimiter=",")
    # skip header
    next(reader)
    # convert csv to list and then to np.array
    data  = np.array(list(reader))[:, 1:] # skip the first column

print(data.shape) # => (N, 2)

# sum each row
s = data.sum(axis=1)
print(s.shape) # => (N,)