1657363800
Neste artigo, discutiremos o TypeError: o objeto “int” não é uma exceção que pode ser chamada. Também estaremos através de soluções para este problema com programas de exemplo.
A declaração de variável usando nomes ou funções incorporadas é um erro comum em desenvolvedores novatos. Um nome embutido é um termo com seu valor pré-definido pelo próprio idioma. Esse termo pode ser um método ou um objeto de uma classe.
int
é uma palavra-chave embutida do Python. Como discutimos, não é aconselhável usar nomes pré-definidos como nomes de variáveis. Embora o uso de um nome predefinido não gere nenhuma exceção, a função sob o nome não será mais reutilizável.
Vamos nos referir ao seguinte exemplo:
myNums = [56,13,21,54]
sum = 0
sum = sum(myNums)
print("sum of myNums list: ", sum)
myNum
s é uma lista de 4 inteiros.sum
é inicializada com o valor 0myNums
lista é calculada usando sum()
a função e armazenada na sum
variável .O que deu errado aqui? No passo 2, inicializamos uma variável sum
com valor 0. Em Python, sum
é uma função pré-definida. Quando tentamos usar a função soma na etapa 3 , ela falha. Python só se lembra sum
como uma variável desde o passo 2 . Portanto, sum()
perdeu toda a funcionalidade após ser declarada como variável.
Em vez de usar sum
como uma declaração de variável, podemos usar nomes de variáveis mais descritivos que não são predefinidos ( mySum
, mySum
, totalSum
). Certifique-se de seguir as convenções de nomenclatura PEP 8 .
myNums = [56,13,21,54]
totalSum = 0
totalSum= sum(myNums)
print("sum of myNums list: ", totalSum)
Saída correta
sum of myNums list: 144
Deixar de fornecer um operador aritmético em uma equação pode levar a TypeError: o objeto “int” não pode ser chamado. Vejamos o seguinte exemplo:
prices = [44,54,24,67]
tax = 10
totalPrice = sum(prices)
taxAmount = totalPrice(tax/100)
print("total taxable amounr: ", taxAmount)
prices
10
totalPrice
Para calcular o valor tributável, devemos multiplicar totalPrice
pelo percentual de imposto. Na etapa 4 , ao calcular taxAmount
, o *
operador está ausente. Portanto, isso geraTypeError: "int" Object Is Not Callable
Denote todos os operadores claramente.
prices = [44,54,24,67]
tax = 10
totalPrice = sum(prices)
taxAmount = totalPrice*(tax/100)
print("total taxable amounr: ", taxAmount)
total taxable amount: 18.900000000000002
Leitura Recomendada | [Resolvido] TypeError: o objeto 'str' não pode ser chamado
Vejamos o seguinte código:
1(2)
É sintaticamente errado colocar parênteses após um número inteiro. Semelhante à seção anterior, é vital que você garanta os operadores corretos.
Não use colchetes após um inteiro bruto. Denote os operadores corretos.
1 * 2
Vejamos o seguinte código:
sample ="select * from myTable"
...
...
...
....
self.cur = self.con.cursor()
self.cur.execute(sample)
print(self.cur.rowcount())
Saída de erro
TypeError: 'int' object is not callable
De acordo com a documentação do sqlite3 fornecida pelo Python, .rowcount
é um atributo e não uma função. Assim, remova o parêntese após .rowcount
.
sample ="select * from myTable"
...
...
...
....
self.cur = self.con.cursor()
self.cur.execute(sample)
print(self.cur.rowcount)
Vamos nos referir ao código a seguir.
contours,hierarchy = cv2.findContours(
thresh,cv2.RETR_CCOMP,cv2.CHAIN_APPROX_SIMPLE
)
...
...
...
...
if (hierarchy.size() > 0):
numObj =hierarchy.size()
Saída de erro
if (hierarchy.size() > 0):
TypeError: 'int' object is not callable
O hierarchy
objeto retornado é um numpy.ndarray
objeto. Você também deve observar que o numpy.ndarray.size
atributo é um inteiro, não um método. Portanto, eles causam a exceção.
Vamos nos referir ao código de exemplo para mover uma imagem:
import pygame
import sys
pygame.init()
...
...
...
while True:
for i in pygame.event.get():
if i.type() == pygame.QUIT:
sys.exit()
...
...
Saída de erro
if i.type() == pygame.QUIT:
TypeError: 'int' object is not callable
A declaração de condição deve ser:
if i.type == pygame.QUIT:
Em vez da corrente:
if i.type() == pygame.QUIT:
Observe que type
é um membro da classe Event
, não uma função. Portanto, não é necessário passar entre parênteses.
Vamos nos referir ao seguinte código:
from datetime import *
...
...
...
for single_date in daterange(start_date, end_date):
if single_date.day() == 1 and single_date.weekday() == 6:
sundays_on_1st += 1
Saída de erro
TypeError: 'int' object is not callable
.day
não é uma função, mas um atributo. Portanto, os parênteses devem ser evitados.
from datetime import *
...
...
...
for single_date in daterange(start_date, end_date):
if single_date.day == 1 and single_date.weekday() == 6:
sundays_on_1st += 1
Como faço para corrigir o objeto int TypeError não pode ser chamado?
Você pode corrigir esse erro não usando “int” como seu nome de variável. Isso evitará os casos em que você deseja converter o tipo de dados em um inteiro usando int().
O que significa o objeto int TypeError não pode ser chamado?
Objeto não pode ser chamado simplesmente significa que não há método definido para torná-lo chamado. Normalmente, os parênteses são usados para chamar uma função, objeto ou método.
Examinamos a exceção TypeError: 'int' Object Is Not Callable. Este erro ocorre principalmente devido a falhas básicas no código escrito. Várias instâncias em que esse erro aparece também foram revisadas.
Fonte: https://www.pythonpool.com
1626775355
No programming language is pretty much as diverse as Python. It enables building cutting edge applications effortlessly. Developers are as yet investigating the full capability of end-to-end Python development services in various areas.
By areas, we mean FinTech, HealthTech, InsureTech, Cybersecurity, and that's just the beginning. These are New Economy areas, and Python has the ability to serve every one of them. The vast majority of them require massive computational abilities. Python's code is dynamic and powerful - equipped for taking care of the heavy traffic and substantial algorithmic capacities.
Programming advancement is multidimensional today. Endeavor programming requires an intelligent application with AI and ML capacities. Shopper based applications require information examination to convey a superior client experience. Netflix, Trello, and Amazon are genuine instances of such applications. Python assists with building them effortlessly.
Python can do such numerous things that developers can't discover enough reasons to admire it. Python application development isn't restricted to web and enterprise applications. It is exceptionally adaptable and superb for a wide range of uses.
Robust frameworks
Python is known for its tools and frameworks. There's a structure for everything. Django is helpful for building web applications, venture applications, logical applications, and mathematical processing. Flask is another web improvement framework with no conditions.
Web2Py, CherryPy, and Falcon offer incredible capabilities to customize Python development services. A large portion of them are open-source frameworks that allow quick turn of events.
Simple to read and compose
Python has an improved sentence structure - one that is like the English language. New engineers for Python can undoubtedly understand where they stand in the development process. The simplicity of composing allows quick application building.
The motivation behind building Python, as said by its maker Guido Van Rossum, was to empower even beginner engineers to comprehend the programming language. The simple coding likewise permits developers to roll out speedy improvements without getting confused by pointless subtleties.
Utilized by the best
Alright - Python isn't simply one more programming language. It should have something, which is the reason the business giants use it. Furthermore, that too for different purposes. Developers at Google use Python to assemble framework organization systems, parallel information pusher, code audit, testing and QA, and substantially more. Netflix utilizes Python web development services for its recommendation algorithm and media player.
Massive community support
Python has a steadily developing community that offers enormous help. From amateurs to specialists, there's everybody. There are a lot of instructional exercises, documentation, and guides accessible for Python web development solutions.
Today, numerous universities start with Python, adding to the quantity of individuals in the community. Frequently, Python designers team up on various tasks and help each other with algorithmic, utilitarian, and application critical thinking.
Progressive applications
Python is the greatest supporter of data science, Machine Learning, and Artificial Intelligence at any enterprise software development company. Its utilization cases in cutting edge applications are the most compelling motivation for its prosperity. Python is the second most well known tool after R for data analytics.
The simplicity of getting sorted out, overseeing, and visualizing information through unique libraries makes it ideal for data based applications. TensorFlow for neural networks and OpenCV for computer vision are two of Python's most well known use cases for Machine learning applications.
Thinking about the advances in programming and innovation, Python is a YES for an assorted scope of utilizations. Game development, web application development services, GUI advancement, ML and AI improvement, Enterprise and customer applications - every one of them uses Python to its full potential.
The disadvantages of Python web improvement arrangements are regularly disregarded by developers and organizations because of the advantages it gives. They focus on quality over speed and performance over blunders. That is the reason it's a good idea to utilize Python for building the applications of the future.
#python development services #python development company #python app development #python development #python in web development #python software development
1625844900
Python throws typeerror: can’t multiply sequence by non-int of type ‘float’ when you try to multiply a string with float value. Although you can multiply a string with int value but except that no other type is supported.
We get this situation when we take input from user and do computation over it. The inputs are always in string type, no matter if a digit is entered, it will be treated as string. It’s your job to typecast it to your required type like in this case, its float.
#python #python error #python list #python numpy #python string #python-short
1602968400
Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler?
In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.
Swapping value in Python
Instead of creating a temporary variable to hold the value of the one while swapping, you can do this instead
>>> FirstName = "kalebu"
>>> LastName = "Jordan"
>>> FirstName, LastName = LastName, FirstName
>>> print(FirstName, LastName)
('Jordan', 'kalebu')
#python #python-programming #python3 #python-tutorials #learn-python #python-tips #python-skills #python-development
1602666000
Today you’re going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates.
In many situations you may find yourself having duplicates files on your disk and but when it comes to tracking and checking them manually it can tedious.
Heres a solution
Instead of tracking throughout your disk to see if there is a duplicate, you can automate the process using coding, by writing a program to recursively track through the disk and remove all the found duplicates and that’s what this article is about.
But How do we do it?
If we were to read the whole file and then compare it to the rest of the files recursively through the given directory it will take a very long time, then how do we do it?
The answer is hashing, with hashing can generate a given string of letters and numbers which act as the identity of a given file and if we find any other file with the same identity we gonna delete it.
There’s a variety of hashing algorithms out there such as
#python-programming #python-tutorials #learn-python #python-project #python3 #python #python-skills #python-tips
1597751700
Magic Methods are the special methods which gives us the ability to access built in syntactical features such as ‘<’, ‘>’, ‘==’, ‘+’ etc…
You must have worked with such methods without knowing them to be as magic methods. Magic methods can be identified with their names which start with __ and ends with __ like init, call, str etc. These methods are also called Dunder Methods, because of their name starting and ending with Double Underscore (Dunder).
Now there are a number of such special methods, which you might have come across too, in Python. We will just be taking an example of a few of them to understand how they work and how we can use them.
class AnyClass:
def __init__():
print("Init called on its own")
obj = AnyClass()
The first example is _init, _and as the name suggests, it is used for initializing objects. Init method is called on its own, ie. whenever an object is created for the class, the init method is called on its own.
The output of the above code will be given below. Note how we did not call the init method and it got invoked as we created an object for class AnyClass.
Init called on its own
Let’s move to some other example, add gives us the ability to access the built in syntax feature of the character +. Let’s see how,
class AnyClass:
def __init__(self, var):
self.some_var = var
def __add__(self, other_obj):
print("Calling the add method")
return self.some_var + other_obj.some_var
obj1 = AnyClass(5)
obj2 = AnyClass(6)
obj1 + obj2
#python3 #python #python-programming #python-web-development #python-tutorials #python-top-story #python-tips #learn-python