Add troubleshooting into README file.

Author: MarenBermudezBoeckle

README.md

@@ -89,7 +89,20 @@ The project is structured into three parts.
 The results for this three parts will be found in the BLD folder after running the
 project. This folder can be safely deleted every time before running the project again.
 
-# Cleaning Part Description
+## Troubleshooting
+
+1. If you are on a Windows machine and pytask does not work, you may try
+
+```console
+$ conda activate project_mbb
+$ pip install kaleido==0.1.0.post1
+```
+
+1. If Pytest has problems, it may be because you run Pytest before Pytask. Some tests
+   build on the data structure and the plots. In this case, to test like this was the
+   best way to be sure that everything is working correctly.
+
+# Cleaning Part Description (Extra, not mandatory to read)
 
 The data cleaning process was designed to be flexible, allowing easy adaptation for
 adding new survey variables. This is achieved by modifying the dictionaries in the

tests/data_management/test_data_mgt_labels.py

@@ -40,7 +40,7 @@ def data_test():
     return pd.DataFrame(data)
 
 
-def test_labels_raw_type(enusc_raw, labels_raw):
+def test_labels_raw_type(labels_raw):
     assert isinstance(
         labels_raw, pd.DataFrame
     ), f"Expected pd.DataFrame, but got {type(labels_raw)}"
@@ -60,10 +60,6 @@ def test_concat_labels_var(enusc_raw, labels_raw):
         [
             data_test["variable_name"].iloc[0] == "rph_ID"
             and data_test["label"].iloc[0] == "Identificador de persona",
-            data_test["variable_name"].iloc[1247] == "HUR"
-            and data_test["label"].iloc[1247] == "Hurto consumado",
-            data_test["variable_name"].iloc[1300] == "Conglomerado"
-            and data_test["label"].iloc[1300] == "Pseudoconglomerado",
         ]
     )