I am writing a Python program that finds the average of each column from a CSV file. Each of the columns has numbers. I have appended the values by the rows, but I am not sure how to append the column values. # Lucas Conklin # 5772707 import csv import math data = [] with open("C:\\Users\\lucas\\Downloads\\pima.csv") as f: reader = csv.reader(f) for row in csv.reader(f): data.append(list(row)) f.close() # find the mean first column_list = [] def find_median_and_SD(data): for c in range(len(data)): row_values = [] for row in range(len(data)): row_values.append(data[row]) Rows_and_columns = find_median_and_SD(data) print(Rows_and_columns)
I am writing a Python program that finds the average of each column from a CSV file. Each of the columns has numbers. I have appended the values by the rows, but I am not sure how to append the column values. # Lucas Conklin # 5772707 import csv import math data = [] with open("C:\\Users\\lucas\\Downloads\\pima.csv") as f: reader = csv.reader(f) for row in csv.reader(f): data.append(list(row)) f.close() # find the mean first column_list = [] def find_median_and_SD(data): for c in range(len(data)): row_values = [] for row in range(len(data)): row_values.append(data[row]) Rows_and_columns = find_median_and_SD(data) print(Rows_and_columns)
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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I am writing a Python program that finds the average of each column from a CSV file. Each of the columns has numbers. I have appended the values by the rows, but I am not sure how to append the column values.
# Lucas Conklin
# 5772707
import csv
import math
data = []
with open("C:\\Users\\lucas\\Downloads\\pima.csv") as f:
reader = csv.reader(f)
for row in csv.reader(f):
data.append(list(row))
f.close()
# find the mean first
column_list = []
def find_median_and_SD(data):
for c in range(len(data)):
row_values = []
for row in range(len(data)):
row_values.append(data[row])
Rows_and_columns = find_median_and_SD(data)
print(Rows_and_columns)
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