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Commite4b2f18

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1 parent508b817 commite4b2f18

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7 files changed

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7 files changed

+256
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‎.learn/exercises/06.2-value-counts/test.py

Lines changed: 3 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -19,7 +19,8 @@ def test_output():
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deftest_expected_output(capsys):
2020
importapp
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captured=capsys.readouterr()
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assertcaptured.out=="""F 558846
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assertcaptured.out=="""Gender
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F 558846
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M 457549
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Name:Gender, dtype: int64
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Name:count, dtype: int64
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"""
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@@ -0,0 +1,5 @@
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importpandasaspd
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data=pd.read_csv('.learn/assets/pokemon_data.csv')
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print(data.iloc[133,6])

‎.learn/vscode_queue.json

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@@ -1 +1 @@
1-
[{"name":"initializing","time":4367635.891},{"name":"reset","time":4367682.592},{"name":"configuration_loaded","time":4499042.118}]
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[{"name":"initializing","time":909990.499},{"name":"reset","time":910047.2},{"name":"configuration_loaded","time":1009713.508},{"name":"start_exercise","time":1185310.445,"data":"00-welcome"},{"name":"start_exercise","time":1101782.932,"data":"01-new-terminal"},{"name":"start_exercise","time":750330.001,"data":"01.2-pipenv"},{"name":"start_exercise","time":1298108.211,"data":"02-install"},{"name":"start_exercise","time":1293363.493,"data":"02.1-create-a-script"},{"name":"start_exercise","time":1190941.173,"data":"02.2-import"},{"name":"start_exercise","time":2568597.56,"data":"03-datasets"},{"name":"start_exercise","time":2441247.78,"data":"04-Series"},{"name":"start_exercise","time":2197602.311,"data":"04.1-date-range"},{"name":"start_exercise","time":2676128.264,"data":"04.2-series-apply"},{"name":"start_exercise","time":3362206.882,"data":"05-dataframes"},{"name":"start_exercise","time":2661569.195,"data":"05.1-dataframe-dict"},{"name":"start_exercise","time":2840438.361,"data":"05.2-dataframe-iloc"},{"name":"start_exercise","time":3114756.123,"data":"05.3-file-head"},{"name":"start_exercise","time":3441803.411,"data":"05.4-dataframe-tail"},{"name":"start_exercise","time":3821474.765,"data":"05.5-print-columns"},{"name":"start_exercise","time":4050565.957,"data":"05.6-loc-function"},{"name":"start_exercise","time":4363793.815,"data":"05.7-filter-and-count"},{"name":"start_exercise","time":3796730.645,"data":"06-clean-datasets"},{"name":"start_exercise","time":4495662.24,"data":"06.1-remove-column"},{"name":"start_exercise","time":4209836.35,"data":"06.2-value-counts"},{"name":"start_exercise","time":5877545.746,"data":"06.3-group-by"}]

‎Pipfile

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[[source]]
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url ="https://pypi.org/simple"
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verify_ssl =true
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name ="pypi"
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[packages]
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pandas ="*"
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[dev-packages]
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[requires]
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python_version ="3.10"

‎Pipfile.lock

Lines changed: 117 additions & 0 deletions
Some generated files are not rendered by default. Learn more aboutcustomizing how changed files appear on GitHub.

‎app.py

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importpandasaspd
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# data_frame = pd.read_csv('.learn/assets/pokemon_data.csv')
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# print(data_frame)
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# 4.0
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# ages = [23,45,7,34,6,63,36,78,54,34]
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# data = pd.Series(ages)
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# print(data)
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# 4.1
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# date_time_index = pd.date_range('05-01-2021', '05-12-2021')
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# print(date_time_index)
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# 4.2
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# my_series = pd.Series([2, 4, 6, 8, 10])
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# print(my_series.apply(lambda x: x / 2))
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# 5
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"""
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data = [["Toyota", "Corolla", "Blue"], ["Ford", "K", "Yellow"], ["Porche", "Cayenne", "White"]]
21+
df = pd.DataFrame(data, columns=['Brand', 'Model', 'Color'])
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print(df)
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"""
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# 5.1
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"""
27+
data = [
28+
{
29+
"brand": "Toyota",
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"make": "Corolla",
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"color": "Blue"
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},
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{
34+
"brand": "Ford",
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"make": "K",
36+
"color": "Yellow"
37+
},
38+
{
39+
"brand": "Porche",
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"make": "Cayenne",
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"color": "White"
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},
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{
44+
"brand": "Tesla",
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"make": "Model S",
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"color": "Red"
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}
48+
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]
50+
df = pd.DataFrame(data)
51+
print(df)
52+
"""
53+
54+
# 5.2
55+
"""
56+
data_frame = pd.read_csv('.learn/assets/pokemon_data.csv')
57+
print(data_frame.iloc[133, 6])
58+
"""
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60+
# 5.3
61+
"""
62+
data_frame = pd.read_csv('.learn/assets/pokemon_data.csv')
63+
print(data_frame.head(3))
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"""
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# 5.4
67+
"""
68+
data_frame = pd.read_csv('.learn/assets/pokemon_data.csv')
69+
print(data_frame.tail(3))
70+
"""
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# 5.5
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"""
74+
data_frame = pd.read_csv('.learn/assets/pokemon_data.csv')
75+
print(data_frame[['Name', 'Type 1']][0:10])
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"""
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# 5.6
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"""
80+
data_frame = pd.read_csv('.learn/assets/pokemon_data.csv')
81+
print(data_frame.loc[data_frame['Attack'] > 80])
82+
"""
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# 5.7
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"""
86+
data_frame = pd.read_csv('.learn/assets/pokemon_data.csv')
87+
print(len(data_frame.loc[data_frame['Legendary'] == True]))
88+
"""
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# 6
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"""
92+
data_frame = pd.read_csv('.learn/assets/us_baby_names_right.csv')
93+
print(data_frame.head())
94+
"""
95+
96+
# 6.1
97+
"""
98+
data_frame = pd.read_csv('.learn/assets/us_baby_names_right.csv')
99+
del data_frame[data_frame.columns[0]]
100+
print(data_frame.head())
101+
"""
102+
103+
# 6.3
104+
"""
105+
data_frame = pd.read_csv('.learn/assets/us_baby_names_right.csv')
106+
print(data_frame.value_counts('Gender'))
107+
# count = data_frame['Gender'].value_counts()
108+
# count = data_frame.value_counts('Gender')
109+
# print(count)
110+
"""
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112+
# 6.2
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114+
data_frame=pd.read_csv('.learn/assets/us_baby_names_right.csv')
115+
df=data_frame.groupby(['Name'])
116+
print(len(df.sum()))

‎conftest.py

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -1,6 +1,6 @@
11
importsys,os,json
22
ifos.path.isdir("./.venv/lib/"):
3-
sys.path.append('./.venv/lib/python3.8/site-packages')
3+
sys.path.append('null/site-packages')
44
defpytest_addoption(parser):
55
parser.addoption("--stdin",action="append",default=[],
66
help="json with the stdin to pass to test functions")
@@ -24,4 +24,4 @@ def pytest_generate_tests(metafunc):
2424
exceptAttributeError:
2525
metafunc.parametrize("app",[cached_app])
2626
if'configuration'inmetafunc.fixturenames:
27-
metafunc.parametrize("configuration", [json.loads('{"port":3000,"address":"https://kiddopro-pythonpandastu-sjasit3kiuf.ws-us43.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-pythonpandastu-sjasit3kiuf.ws-us43.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":3182492073098233300,"translations":[]}')])
27+
metafunc.parametrize("configuration", [json.loads('{"port":3000,"editor":{"mode":"preview","agent":"vscode","version":"1.0.72"},"dirPath":"./.learn","configPath":"learn.json","outputPath":".learn/dist","publicPath":"/preview","publicUrl":"http://localhost:3000","contact":"https://github.com/learnpack/learnpack/issues/new","language":"auto","autoPlay":true,"projectType":"tutorial","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":{"us":"Learn the basics and become comfortable using pandas for manipulating machine learning datasets.","es":"Aprende lo básico y empieza a sentirte cómodo usando pandas y manipulando datasets de machine learning."},"title":{"us":"Pandas for Machine Learning","es":"Pandas para Machine Learning"},"slug":"pandas-for-machine-learning","translations":[]}')])

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