Created module and data files for assignment

CO2_International_Data/Balkan_Data.txt

@@ -0,0 +1,21 @@
+Balkan has no data because Balkan needs no data!
+
+Боже правде, ти што спасе
+Од пропасти до сад нас,
+Чуј и од сад наше гласе,
+И од сад нам буди спас!
+
+Лијепа наша домовино,
+Ој јуначка земљо мила,
+Старе славе дједовино,
+Да би вазда сретна била!
+
+𝄆 Напреј застава славе,
+На бој јунашка кри!
+За благор очетњаве
+Нај пушка говори! 𝄇
+
+Боже спаси, Боже храни
+Нашег Краља и наш род!
+Краља Петра, Боже храни,
+Моли ти се сав наш род.

CO2_International_Data/NOTES.txt

@@ -0,0 +1,58 @@
+This contains the license, citation, and location for each data set used in this module.
+
+The licence used by every data set is:
+These data were produced by NOAA and are not subject to copyright
+protection in the United States. NOAA waives any potential copyright and
+related rights in these data worldwide through the Creative Commons Zero
+1.0 Universal Public Domain Dedication (CC0 1.0)
+
+CC0 1.0 Universal
+
+The data citation for each set is:
+
+Lan, X., J.W. Mund, A.M. Crotwell, K.W. Thoning, E. Moglia, M. Madronich, K. Baugh,
+G. Petron, M.J. Crotwell, D. Neff, S. Wolter, T. Mefford and S. DeVogel (2024),
+Atmospheric Carbon Dioxide Dry Air Mole Fractions from the NOAA GML Carbon Cycle Cooperative
+Global Air Sampling Network, 1968-2023,  Version: 2024-07-30, https://doi.org/10.15138/wkgj-f215
+
+South America Data:
+
+# site_code : USH
+# site_name : Ushuaia
+# site_country : Argentina
+
+Oceania Data:
+
+# site_code : CGO
+# site_name : Cape Grim, Tasmania
+# site_country : Australia
+
+North America Data:
+
+# site_code : UTA
+# site_name : Wendover, Utah
+# site_country : United States
+
+Africa Data:
+
+# site_code : ASK
+# site_name : Assekrem
+# site_country : Algeria
+
+Asia Data:
+
+# site_code : AMY
+# site_name : Anmyeon-do
+# site_country : Republic of Korea
+
+Antarctica Data:
+
+# site_code : PSA
+# site_name : Palmer Station, Antarctica
+# site_country : United States
+
+Europe Data:
+
+# site_code : ZEP
+# site_name : Ny-Alesund, Svalbard
+# site_country : Norway and Sweden

CO2_International_Data/international_data_converter.py

@@ -0,0 +1,26 @@
+"""
+This module converts a number of CO2 data files as
+.txt files into a single panda dataframe
+with only the datetime and CO2 (ppm) values.
+"""
+import pandas as pd
+
+# List of file paths
+file_paths = ["Africa_Data.txt", "Asia_Data.txt", "NA_Data.txt", "SA_Data.txt",
+              "Oceania_Data.txt", "Antarctica_Data.txt", "Europa_Data.txt"]
+
+# Specify the columns you want to include
+columns_to_use = ["datetime", "value"]  # Replace with the actual column names you need
+
+# Read each .txt file with only the specified columns and store them in a list of DataFrames
+dataframes = [pd.read_csv(file, delimiter=" ", usecols=columns_to_use) for file in file_paths]
+
+# Concatenate all DataFrames into one
+combined_df = pd.concat(dataframes, ignore_index=True)
+
+# Convert the combined DataFrame to JSON
+json_data = combined_df.to_json(orient="records")
+
+# Save the JSON data to a .json file
+with open('co2_international_data.json', 'w', encoding="utf-8") as json_file:
+    json_file.write(json_data)