Sometimes, we want to use StringIO in Python.
In this article, we’ll look at how to use StringIO in Python.
To use StringIO in Python, we can import it from the io module.
For instance, we write
from io import StringIO
to import StringIO from the io module.
To use StringIO in Python, we can import it from the io module.
Sometimes, we want to make a comma-separated string from a list of strings with Python.
In this article, we’ll look at how to make a comma-separated string from a list of strings with Python.
To make a comma-separated string from a list of strings with Python, we call the string’s join method.
For instance, we write
my_list = ['a', 'b', 'c', 'd']
my_string = ','.join(my_list)
to call ','.join with my_list to combine the strings in my_list into a string separated by a comma.
To make a comma-separated string from a list of strings with Python, we call the string’s join method.
Sometimes, we want to capitalize the first letter of each word in a string with Python.
In this article, we’ll look at how to capitalize the first letter of each word in a string with Python.
To capitalize the first letter of each word in a string with Python, we can use the string’s title method.
For instance, we write
s = "hello world".title()
to call "hello world".title to return "hello world" in title case.
To capitalize the first letter of each word in a string with Python, we can use the string’s title method.
Sometimes, we want to fix NumPy array is not JSON serializable with Python.
In this article, we’ll look at how to fix NumPy array is not JSON serializable with Python.
To fix NumPy array is not JSON serializable with Python, we canm create our encoder class.
For instance, we write
class NumpyEncoder(json.JSONEncoder):
def default(self, obj):
if isinstance(obj, np.ndarray):
return obj.tolist()
return json.JSONEncoder.default(self, obj)
a = np.array([[1, 2, 3], [4, 5, 6]])
json_dump = json.dumps({'a': a, 'aa': [2, (2, 3, 4), a], 'bb': [2]},
cls=NumpyEncoder)
to create the NumpyEncoder class that has the default method.
In it, we check if obj is a NumPy array instance with isinstance.
If it’s true, then we call tolist to convert it to a list.
Otherwise, we return the JSON string with
json.JSONEncoder.default(self, obj)
Then we call json.dumps with NumPy array a and cls set to NumpyEncoder to return the JSON string version of a.
To convert a JSON string to a NumPy array, we write
json_load = json.loads(json_dump)
a_restored = np.asarray(json_load["a"])
to call json.loads to load the json_dump string into a dict.
Then we call np.asrray to get the entry in json_load with key 'a' and convert it into a NumPy array.
To fix NumPy array is not JSON serializable with Python, we canm create our encoder class.
Sometimes, we want to control a mouse with Python.
In this article, we’ll look at how to control a mouse with Python.
To control a mouse with Python, we can use the pyautogui package.
To install it, we run
pip install pyautogui
Then we use it with
import pyautogui
pyautogui.click(100, 100)
pyautogui.moveTo(100, 150)
pyautogui.moveRel(0, 10)
pyautogui.dragTo(100, 150)
pyautogui.dragRel(0, 10)
to call click to click on the location with the given x-y screen coordinates.
We call moveTo to move to the given screen coordinates.
moveRel moves relative to the current position.
dragTo drags the mouse to the given screen coordinates.
dragRel drags the mouse to screen coordinates relative to the current coordinates.
To control a mouse with Python, we can use the pyautogui package.