ex 02-3

Author: kiddopro

.learn/exercises/02.2-create-script/test.py

@@ -5,7 +5,13 @@ def test_file_existence():
     file = os.path.abspath(__file__)+'/app.py'
     assert file != None
 
-@pytest.mark.it('Use print function')
+@pytest.mark.it("Use the print function")
+def test_output():
+    f = open(os.path.dirname(os.path.abspath('app.py'))+'/app.py')
+    content = f.read()
+    assert content.find("print(") > 0
+
+@pytest.mark.it('The output should be the expected: Hello World')
 def test_print(capsys):
     import app
     captured = capsys.readouterr()

.learn/exercises/02.3-import_pandas/README.md

@@ -1,12 +1,12 @@
-# Import pandas
+# `02.3` Import pandas
 
 Now let's add Pandas into our script by using the `import` command.
 
 The `import` command is meant for loading 3rd part libraries (like pandas) or other python files that you have created (which we will do in the future)
 
 ## 📝 Instructions
 
-1. Type `import pandas as pd` inside the file to import the pandas library.
+1. Type `import pandas as pd` inside the file `app.py` to import the pandas library.
 2. Use the pandas read_csv function to import the content of the CSV file into a variable.
 3. print the variable on the terminal using the `print` function.
 

.learn/exercises/02.3-import_pandas/test.py

@@ -0,0 +1,26 @@
+import io, os, sys, pytest, re, pandas
+data = pandas.read_csv('.learn/assets/pokemon_data.csv')
+
+@pytest.mark.it('You must import pandas')
+def test_import_pandas():
+    path = os.path.dirname(os.path.abspath('app.py'))+'/app.py'
+    with open(path, 'r') as content_file:
+        content = content_file.read()
+        regex = re.compile(r"import\s*pandas")
+        assert bool(regex.search(content)) == True
+
+@pytest.mark.it('The variable data_frame must exist')
+def test_vatiable_existence():
+    from app import data_frame
+
+@pytest.mark.it("Use the print function")
+def test_output():
+    f = open(os.path.dirname(os.path.abspath('app.py')) + '/app.py')
+    content = f.read()
+    assert content.find("print(") > 0
+
+@pytest.mark.it('The output should be the expected')
+def test_output_print(capsys):
+    from app import data_frame
+    result = data_frame.empty == False and data.empty == False
+    assert result == True

.learn/vscode_queue.json

@@ -1 +1,5 @@
-print('Hello World')
+import pandas as pd 
+
+data_frame = pd.read_csv('.learn/assets/pokemon_data.csv')
+print(data_frame)
+

app.py

@@ -1,6 +1,6 @@
 import sys, os, json
 if os.path.isdir("./.venv/lib/"):
-    sys.path.append('null/site-packages')
+    sys.path.append('./.venv/lib/python3.8/site-packages')
 def pytest_addoption(parser):
     parser.addoption("--stdin", action="append", default=[],
         help="json with the stdin to pass to test functions")
@@ -24,4 +24,4 @@ def pytest_generate_tests(metafunc):
         except AttributeError:
           metafunc.parametrize("app",[cached_app])
     if 'configuration' in metafunc.fixturenames:
-        metafunc.parametrize("configuration", [json.loads('{"port":3000,"address":"https://kiddopro-pythonpandastut-zzjbcc6h0h1.ws-us34.gitpod.io","editor":{"mode":"preview","agent":"gitpod","version":"1.0.72"},"dirPath":"./.learn","configPath":"learn.json","outputPath":".learn/dist","publicPath":"/preview","publicUrl":"https://3000-kiddopro-pythonpandastut-zzjbcc6h0h1.ws-us34.gitpod.io","language":"auto","grading":"incremental","exercisesPath":".learn/exercises","webpackTemplate":null,"disableGrading":false,"disabledActions":["build"],"actions":[],"entries":{"html":"index.html","vanillajs":"index.js","react":"app.jsx","node":"app.js","python3":"app.py","java":"app.java"},"preview":"https://github.com/4GeeksAcademy/python-pandas-tutorial/blob/main/.learn/assets/pandas-preview.jpeg?raw=true","difficulty":"beginner","duration":3,"description":"Learn the basics and become comfortable using pandas for manipulating machine learning datasets .","title":"Pandas for Machine Learning","slug":"pandas-for-machine-learning","session":1326614059129245200,"translations":[]}')])
+        metafunc.parametrize("configuration", [json.loads('{"port":3000,"address":"https://kiddopro-pythonpandastut-zzjbcc6h0h1.ws-us34.gitpod.io","editor":{"mode":"preview","agent":"gitpod","version":"1.0.72"},"dirPath":"./.learn","configPath":"learn.json","outputPath":".learn/dist","publicPath":"/preview","publicUrl":"https://3000-kiddopro-pythonpandastut-zzjbcc6h0h1.ws-us34.gitpod.io","language":"auto","grading":"incremental","exercisesPath":".learn/exercises","webpackTemplate":null,"disableGrading":false,"disabledActions":["build"],"actions":[],"entries":{"html":"index.html","vanillajs":"index.js","react":"app.jsx","node":"app.js","python3":"app.py","java":"app.java"},"preview":"https://github.com/4GeeksAcademy/python-pandas-tutorial/blob/main/.learn/assets/pandas-preview.jpeg?raw=true","difficulty":"beginner","duration":3,"description":"Learn the basics and become comfortable using pandas for manipulating machine learning datasets .","title":"Pandas for Machine Learning","slug":"pandas-for-machine-learning","session":2664118464753879600,"translations":[]}')])