General Functions in Python

You can use the following basic syntax to extract numbers from a string in pandas: df[‘my_column’].str.extract(‘(d+)’) This particular syntax will extract the…

You can use the following methods to sort the rows of a pandas DataFrame based on the values in a particular string…

You can use one of the following methods to rename the rows in a pandas DataFrame: Method 1: Rename Rows Using Values…

You can use the following basic syntax to rename only the last column in a pandas DataFrame: df.columns = [*df.columns[:-1], ‘new_name’] This…

You can use the following methods to sort the rows of a pandas DataFrame based on the absolute value of a column:…

You can use the following functions to calculate the mean, median, and mode of each numeric column in a pandas DataFrame: print(df.mean(numeric_only=True))…

You can use the following basic syntax to filter the rows of a pandas DataFrame that contain a value in a list:…

You can use the query() function in pandas to extract the value in one column based on the value in another column.…

You can use the following basic syntax to create a frequency table in pandas based on multiple columns: df.value_counts([‘column1’, ‘column2’]) The following…

You can use the following custom function to swap the position of two rows in a pandas DataFrame: def swap_rows(df, row1, row2):…