Python でニュートンの推測とチェック方法を使用して、数値の平方根を近似する数学の問題を完成させるために取り組んでいます。ユーザーは、数字、数字の最初の推測、および戻る前に回答を確認したい回数を入力することになっています。物事を簡単にし、Python を理解するために (私は数か月前にこの言語を学び始めたばかりです)、いくつかの小さな関数に分割しました。ただし、現在の問題は、各関数を呼び出して数値を渡すのに問題があることです。
これが私のコードで、役立つコメントがあります（各関数は使用順です）：
# This program approximates the square root of a number (entered by the user)
# using Newton's method (guess-and-check). I started with one long function,
# but after research, have attempted to apply smaller functions on top of each
# other.
# * NEED TO: call functions properly; implement a counting loop so the
# goodGuess function can only be accessed the certain # of times the user
# specifies. Even if the - .001 range isn't reached, it should return.
# sqrtNewt is basically the main, which initiates user input.
def sqrtNewt():
# c equals a running count initiated at the beginning of the program, to
# use variable count.
print("This will approximate the square root of a number, using a guess-and-check process.")
x = eval(input("Please type in a positive number to find the square root of: "))
guess = eval(input("Please type in a guess for the square root of the number you entered: "))
count = eval(input("Please enter how many times would you like this program to improve your initial guess: "))
avg = average(guess, x)
g, avg = improveG(guess, x)
final = goodGuess(avg, x)
guess = square_root(guess, x, count)
compare(guess, x)
# Average function is called; is the first step that gives an initial average,
# which implements through smaller layers of simple functions stacked on each
# other.
def average(guess, x) :
return ((guess + x) / 2)
# An improvement function which builds upon the original average function.
def improveG(guess, x) :
return average(guess, x/guess)
# A function which determines if the difference between guess X guess minus the
# original number results in an absolute vale less than 0.001. Not taking
# absolute values (like if guess times guess was greater than x) might result
# in errors
from math import *
def goodGuess(avg, x) :
num = abs(avg * avg - x)
return (num < 0.001)
# A function that, if not satisfied, continues to "tap" other functions for
# better guess outputs. i.e. as long as the guess is not good enough, keep
# improving the guess.
def square_root(guess, x, count) :
while(not goodGuess(avg, x)):
c = 0
c = c + 1
if (c < count):
guess = improveG(guess, x)
elif (c == count):
return guess
else :
pass
# Function is used to check the difference between guess and the sqrt method
# applied to the user input.
import math
def compare(guess, x):
diff = math.sqrt(x) - guess
print("The following is the difference between the approximation")
print("and the Math.sqrt method, not rounded:", diff)
sqrtNewt()
現在、このエラーが発生しますg, avg = improveG(guess, x)
TypeError: 'float' object is not iterable.
。最終関数は、推測の最終反復を使用して、数学の平方根法から減算し、全体の差を返します。私はこれを正しくやっていますか？作業コードを提供していただければ、提案を添えていただければ幸いです。繰り返しますが、私は初心者なので、誤解や明らかな誤りについてはお詫び申し上げます。