What is the numpy.select() Method

The numpy.select() function “allows you to create a new array by applying a list of conditions” and corresponding actions (or values) to an input array. It returns a new array with the same shape as the input array, and the values of the new array are determined by the first condition, True, at a given … Read more

How to Replace a Substring in Pandas Column

To replace a substring in a Pandas DataFrame column, you can use the “str.replace()” method. The str.replace() method enables you to replace a specified substring with another substring in a specific column. Example import pandas as pd # Sample DataFrame data = { “A”: [“bmw_car”, “volvo_bus”, “airbus_plane”] } df = pd.DataFrame(data) print(“Original DataFrame:”) print(df) # … Read more

How to Convert Pandas Column to List

To convert the Pandas column to a list, you can use the “tolist()” method on a specific column. Example import pandas as pd # Sample DataFrame data = { “A”: [1, 2, 3], “B”: [4, 5, 6] } df = pd.DataFrame(data) # Convert column A to a list column_a_list = df[“A”].tolist() # Convert column B … Read more

How to Convert Column Type to String in Pandas

To convert the column type to a string in a Pandas DataFrame, you can use the “astype(str)” method. The astype() method allows you to change the data type of a specific column or multiple columns. Example import pandas as pd # Sample DataFrame data = { “A”: [1.0, 2.0, 3.0], “B”: [“4”, “5”, “6”] } df … Read more

How to Convert Column to Int in DataFrame

To convert a column to an integer data type in a Pandas DataFrame, you can use the “astype(int)” method. This method allows you to change the data type of a specific column or multiple columns. Example import pandas as pd # Sample DataFrame data = { “A”: [1.0, 2.0, 3.0], “B”: [“4”, “5”, “6”] } … Read more

Pandas GroupBy Multiple Columns Explained

To group by multiple columns in Pandas, you can use the “groupby()” function and “pass a list of column names” as the argument. Example import pandas as pd data = { “Category”: [“Fruit”, “Fruit”, “Vegetable”, “Fruit”, “Vegetable”, “Vegetable”], “Item”: [“Apple”, “Banana”, “Carrot”, “Apple”, “Carrot”, “Pea”], “Price”: [1, 1.5, 0.5, 1.2, 0.6, 0.4], “Quantity”: [10, 20, … Read more

Pandas DataFrame sum() Method

Pandas DataFrame sum() method calculates the sum of the elements in each column (by default) or along the rows. You can specify the axis along which you want to compute the sum. Syntax dataframe.sum(axis=None, skipna=True, level=None, numeric_only=None, min_count=0, **kwargs) Parameters axis: {0 or ‘index’, 1 or ‘columns’}, default 0. Axis along which the sum is … Read more

Pandas DataFrame to_excel() Method

Pandas DataFrame to_excel() method “exports an Excel file”. It provides a convenient way to save your data in Excel format for further analysis or sharing with others. Multiple sheets may be written by specifying the unique sheet_name. With all data written to a file, it is necessary to save the changes. Note that creating the ExcelWriter … Read more

How to Transpose Matrix in Python

To transpose a matrix in Python, you can use the “list comprehension” or“numpy.transpose()” function. Method 1: Using the list comprehension def transpose(matrix): return [[row[i] for row in matrix] for i in range(len(matrix[0]))] # Example usage: matrix = [ [1, 2, 3], [4, 5, 6], [7, 8, 9] ] transposed_matrix = transpose(matrix) print(transposed_matrix) Output [[1, 4, … Read more

How to Fix RuntimeError: expected scalar type double but found float

To fix the RuntimeError: expected scalar type double but found float error, you can convert the input tensor’s data type to match the model’s expected data type using the double() or to() method. The RuntimeError: expected scalar type double but found float error occurs when there is a mismatch between the data types of the input tensor … Read more

How to Fix ValueError: ‘Object arrays cannot be loaded when allow_pickle=False’

Python raises ValueError: ‘Object arrays cannot be loaded when allow_pickle=False’ when you try to load a NumPy file (.npy) containing object arrays, but the ‘allow_pickle’ parameter is set to False. By default, this parameter is set to False for security reasons, as loading pickled object arrays can lead to arbitrary code execution. There are two ways … Read more