python-AGS4 0.2.0

A library to read and write AGS4 files using Pandas DataFrames

python-ags4

A library to read and write AGS4 files using Pandas DataFrames

Installation

pip install python-ags4

Introduction

python-ags4 is a library of functions that lets a user import AGS4 files to a collection of Pandas DataFrames. The data can be analyzed, manipulated, and updated using Pandas and then exported back to an AGS4 file.

Examples

Import module:

from python_ags4 import AGS4

Import data from an AG4 file:

tables, headings = AGS4.AGS4_to_dataframe('/home/asitha/Projects/python-AGS4/tests/test_data.ags')

• tables is a dictionary of Pandas DataFrames. Each DataFrame contains the data from a GROUP in the AGS4 file.
• headings is a dictionary of lists. Each list has the header names of the corresponding GROUP

All data are imported as text so they cannot be analyzed or plotted immediately. You can use the following code to convert all the numerical data in a DataFrame from text to numeric.

LOCA = AGS4.convert_to_numeric(tables['LOCA'])

The AGS4.convert_to_numeric() function automatically converts all columns in the input DataFrame with the a numeric TYPE to a float. (Note: The UNIT and TYPE rows are removed during this operation as they are non-numeric.)

Export data back to an AGS4 file:

AGS4.dataframe_to_AGS4(tables, headings, '/home/asitha/Documents/output.ags')

A DataFrame with numeric columns may not get exported with the correct precision so they should be converted back to formatted text. The AGS4.convert_to_text() function will do this automatically if an AGS4 dictionary file is provided with the necessary UNIT and TYPE information. Numeric fields in the DataFrame that are not described in the dictionary file will be skipped with a warning.

LOCA_txt = AGS4.convert_to_text(LOCA, 'DICT.ags')

Tables converted to numeric using the AGS4.convert_to_numeric() function should always be converted back to text before exporting to an AGS4 file. (Note: The UNIT and TYPE rows will be added back in addition to formatting the numeric columns.)

Graphical User Interface using pandasgui

The output from python-ags4 can be directly used with pandasgui to view and edit AGS4 files using an interactive graphical user interface. It also provides funtionality to plot and visualize the data.

from pandasgui import show

tables, headings = AGS4.AGS4_to_dataframe('/home/asitha/Projects/python-AGS4/tests/test_data.ags')
gui = show(**tables)

Any edits made in the GUI can be saved and exported back to an AGS4 file as follows:

(Note: The code should be run before closing the GUI window)

updated_tables = gui.get_dataframes()

AGS4.dataframe_to_AGS4(updated_tables, headings, '/home/asitha/Documents/output.ags')