This Python program is designed to analyze food data and generate pie charts to visualize the distribution of various categories. The program uses matplotlib for plotting, numpy for numerical operations, pandas for data manipulation, and pluralizer for text processing.
The program includes the following functions:
get_data(func): Reads data from an Excel file named after the function calling it, located in thedatadirectory.rename_categories(df): Renames categories in the DataFrame by combining the first two columns.create_other_category(df, x='x', y='perc', threshold=3): Groups categories that make up a small portion of the total into an 'Other' category.pie_cht(df, title, fname, x='x', y='perc', subfolder=None): Generates a pie chart from the DataFrame and saves it as a PNG file in thechartsdirectory.loc_by_pct(),food_by_pct(),adult_by_pct(),food_by_fail(),adult_by_fail(),prov_by_food_pct(),prov_by_food_count(),prov_by_recs(): These functions read data, process it, and generate pie charts to visualize the distribution of sampled location types, food types, adulterant types, and provinces by various metrics.format_title(title): Formats the title for the pie chart.food_by_adult(),adult_in_food(),prov_by_food(),food_in_prov(),prov_by_adult(),adult_in_prov(),adult_in_all_food(),food_by_all_adult(),food_by_all_prov(),prov_by_all_food(),adult_in_all_prov(),prov_by_all_adult(): These functions read data, process it, and generate pie charts to visualize the distribution of food types and adulterant types in various categories.
To use this program, you need to have Python installed along with the matplotlib, numpy, pandas, and pluralizer libraries. You can install these libraries using pip:
pip install matplotlib numpy pandas pluralizerOnce the libraries are installed, you can run the program with Python:
python main.pyThe program will read the data, perform the analysis, and generate the pie charts, which will be saved in the charts directory.