The script is designed for various data manipulation tasks using the Pandas library, including CSV file handling, data filtering and merging, arithmetic operations, and fetching data from web APIs.
- Reading CSV: Reads a CSV file from a specified path.
- Writing CSV: Writes data to a CSV file with a naming format that includes the current date.
- select_item: Filters rows based on specified conditions in given columns.
- add_data: Concatenates two data frames vertically.
- subtract: Performs subtraction between two columns in a data frame.
- sum_all_data: Calculates the sum of all data across specified columns.
- combine_data_with_time: Merges multiple columns with a 'time' column based on a specified condition.
- split_data: Splits data based on conditions and renames columns accordingly.
- replace_name: Replaces values in a specified column based on a given dictionary of replacement rules.
- Rename Header: Renames dataframe columns.
- Rename Values in Header: Changes specific values in a data frame column.
- fetch_data_wb: Fetches data from a web API using the requests library.
- CSV File Handling: Update file paths and column names as per your data schema.
- Data Manipulation Functions: Customize the functions according to your dataset and requirements.
- Data Renaming: Modify the renaming rules for your data.
- fetch_data_wb: Set the URL, params, and other request details as per the API you are using.
- Python 3.x
- Pandas
- Requests (for web API fetching)
Note: Ensure that the paths, URLs, column names, and other specific values are updated to match your specific use case and data schema. The script is a template and may require modifications for different datasets and requirements.