Web developer specializing in React, Vue, and front end development.
Sometimes, we want to test NoneType in Python.
In this article, we’ll look at how to test NoneType in Python.
To test NoneType in Python, we can use the is operator.
For instance, we write
if variable is None:
# ...
to check if variable is None.
To test NoneType in Python, we can use the is operator.
Sometimes, we want to make an immutable object in Python.
In this article, we’ll look at how to make an immutable object in Python.
To make an immutable object in Python, we can use the dataclass decorator.
For instance, we write
from dataclasses import dataclass
from typing import Any
@dataclass(frozen=True)
class Immutable:
a: Any
b: Any
to create the Immutable class.
We decorate it with the dataclass decorator with frozen set to True to make the class create immutable objects when we instantiate the class.
To make an immutable object in Python, we can use the dataclass decorator.
Sometimes, we want to convert integer to binary in Python.
In this article, we’ll look at how to convert integer to binary in Python.
To convert integer to binary in Python, we use the string format method.
For instance, we write
b = '{0:08b}'.format(6)
to call '{0:08b}'.format with 6 to return the binary string with the value of 6 in binary.
To convert integer to binary in Python, we use the string format method.
Sometimes, we want to do double Iteration in list comprehension with Python.
In this article, we’ll look at how to do double Iteration in list comprehension with Python.
To do double Iteration in list comprehension with Python, we can use 2 for expressions.
For instance, we write
l = [word for sentence in text for word in sentence]
to loop through the sentence in the text list with
for sentence in text
In it, we have another loop to loop the the word in the sentence list.
for word in sentence
And then we put the word strings in the list l.
To do double Iteration in list comprehension with Python, we can use 2 for expressions.
Sometimes, we want to get different colored lines for different plots in a single figure with Python matplotlib.
In this article, we’ll look at how to get different colored lines for different plots in a single figure with Python matplotlib.
To get different colored lines for different plots in a single figure with Python matplotlib, we just use the plot method.
For instance, we write
import matplotlib.pyplot as plt
import numpy as np
x = np.arange(10)
plt.plot(x, x)
plt.plot(x, 2 * x)
plt.plot(x, 3 * x)
plt.plot(x, 4 * x)
plt.show()
to plot different lines with the plot method.
Then when we call show to show the plots, all the lines will have different colors.
To get different colored lines for different plots in a single figure with Python matplotlib, we just use the plot method.