fix code for BUR3, Colombia

code/UNFCCC_reader/Colombia/read_COL_BUR3_from_xlsx.py

@@ -2,13 +2,12 @@
 # Data is read from the xlsx file which has been exported from the google docs
 # spreadsheet which is linked in the BUR
 
-import os
-import sys
 import pandas as pd
 import primap2 as pm2
 from pathlib import Path
 
 
+
 from primap2.pm2io._data_reading import filter_data
 
 # ###
@@ -20,9 +19,8 @@ downloaded_data_path = root_path / "downloaded_data"
 extracted_data_path = root_path / "extracted_data"
 
 
-input_folder = downloaded_data_path / 'non-UNFCCC' / 'Republic_of_Korea' / \
-               '2020-Inventory'
-output_folder = extracted_data_path / 'UNFCCC' / 'Republic_of_Korea'
+input_folder = downloaded_data_path / 'UNFCCC' / 'Colombia' / 'BUR3'
+output_folder = extracted_data_path / 'UNFCCC' / 'Colombia'
 if not output_folder.exists():
     output_folder.mkdir()
 
@@ -175,7 +173,7 @@ for year in years:
     if df_all is None:
         df_all = df_long_new
     else:
-        df_all = df_all.append(df_long_new)
+        df_all = pd.concat([df_all, df_long_new], axis=0, join='outer')
 
 df_all["category"] = df_all["category"].str[0]
 

extracted_data/UNFCCC/Colombia/COL_BUR3_2022_IPCC2006.csv

@@ -0,0 +1 @@
+../../../.git/annex/objects/W6/13/MD5E-s657420--fcaa269d69e0eb4e0f176028ca7e3842.csv/MD5E-s657420--fcaa269d69e0eb4e0f176028ca7e3842.csv

extracted_data/UNFCCC/Colombia/COL_BUR3_2022_IPCC2006.nc

@@ -0,0 +1 @@
+../../../.git/annex/objects/p8/Wp/MD5E-s400371--a8b9b447314f4df2ea776a23e29de09a.nc/MD5E-s400371--a8b9b447314f4df2ea776a23e29de09a.nc

extracted_data/UNFCCC/Colombia/COL_BUR3_2022_IPCC2006.yaml

@@ -0,0 +1,22 @@
+attrs:
+  references: https://unfccc.int/documents/424157
+  rights: ''
+  contact: mail@johannes-guestchow.de
+  title: Colombia. Biennial update report (BUR). BUR3
+  comment: Read fom xlsx file (exported from google docs) by Johannes Gütschow
+  institution: UNFCCC
+  cat: category (IPCC2006)
+  area: area (ISO3)
+  scen: scenario (PRIMAP)
+time_format: '%Y'
+dimensions:
+  '*':
+  - time
+  - category (IPCC2006)
+  - scenario (PRIMAP)
+  - source
+  - provenance
+  - area (ISO3)
+  - entity
+  - unit
+data_file: COL_BUR3_2022_IPCC2006.csv

extracted_data/UNFCCC/folder_mapping.json

@@ -31,6 +31,7 @@
     "LVA": "Latvia",
     "CAN": "Canada",
     "DEU": "Germany",
+    "COL": "Colombia",
     "SWE": "Sweden",
     "CHL": "Chile",
     "AUS": "Australia",