How-to articles, tricks, and solutions about PYTHON

To change the order of columns in a Pandas DataFrame, you can use the DataFrame's "reindex" method and specify the new order of the columns.

You can use a for loop to iterate through the list of strings, and then use the in keyword to check if the string is a substring of the current item in the list.

You can use the isna() method to check for NaN values in a Pandas DataFrame.

To check if a string is empty in Python, you can use the len() function or an if statement.

You can use the type() function in Python to check the type of a variable.

There are a few ways to clear the interpreter console in Python, depending on the specific environment you are using.

In Python, you can comment out a block of code by using the "#" symbol at the beginning of each line.

You can use the join() method to concatenate (join) items in a list to a single string in Python.

To convert the index of a pandas DataFrame into a column, you can use the reset_index() function, and specify that you want to move the index to a new column with the inplace=True and name parameter.

You can use the join() method to convert a list of strings to a single string.

You can use the ast.literal_eval() function from the ast module to safely evaluate a string and convert it to a list.

There are a few ways to copy a dictionary in Python, depending on the level of copying that you need.

To copy a file in Python, you can use the built-in "shutil" module.

You can use the uuid module in Python to generate a globally unique identifier (GUID), also known as a universally unique identifier (UUID).

You can use the cv2.imread() function to read an image into memory, and then use the cv2.rectangle() function to draw a rectangle around the region you want to crop.

The "SettingWithCopyWarning" in pandas is raised when you try to modify a copy of a DataFrame or Series rather than the original.

To declare an array in Python, you can use the array module.

A two-dimensional array in Python can be defined using the numpy library.

You can use string slicing to remove a specific character from a string in Python.

In Python, you can determine the type of a variable by using the type() function.

There are a few different ways to disable warnings in Python, depending on the specific warning and the scope in which you want to suppress it.

Import the "urllib" module:

You can drop rows of a Pandas DataFrame that have a NaN value in a certain column using the dropna() function.

In Python, you can emulate a do-while loop by using a while True loop with a break statement.

In Python, you can use regular expressions to extract numbers from a string.