完成作業繳交 - 陳郁文 - AIPE03 by yuwen-web · Pull Request #29 · Zenobia0000/python-da-homework-2026

yuwen-web · 2026-05-03T15:28:02Z

完成作業繳交 - 陳郁文 - AIPE03

github-actions · 2026-05-03T15:28:39Z

📊 作業批改結果

總分：335 / 600（56%）— 等級 F

💡 完整解答請到你自己 fork 的 repo → Actions 頁籤查看。

M1 NumPy（85/100 — 85%）

題目	分數	狀態
`test_green_mean`	10/10	✅
`test_green_double`	10/10	✅
`test_green_filter`	10/10	✅
`test_yellow_expensive_count`	0/15	❌
`test_yellow_top3_stock_indices`	15/15	✅
`test_yellow_restock_cost`	15/15	✅
`test_red_double11_prices`	20/20	✅
`test_red_no_forloop`	5/5	✅

❌ 錯誤提示（點擊展開）

test_yellow_expensive_count

tests/test_m1.py:59: in test_yellow_expensive_count
    assert int(result) == expected, f"預期 {expected}，你的結果: {result}"
           ^^^^^^^^^^^
E   TypeError: int() argument must be a string, a bytes-like object or a real number, not 'builtin_function_or_method'

M2 Pandas 清理（75/100 — 75%）

題目	分數	狀態
`test_green_read_csv`	10/10	✅
`test_green_shape`	10/10	✅
`test_green_dtypes`	10/10	✅
`test_yellow_clean_columns`	15/15	✅
`test_yellow_clean_amount`	15/15	✅
`test_yellow_drop_duplicates`	15/15	✅
`test_red_clean_orders_returns_df`	0/4	❌
`test_red_clean_orders_columns`	0/4	❌
`test_red_clean_orders_amount_is_numeric`	0/4	❌
`test_red_clean_orders_date_is_datetime`	0/5	❌
`test_red_clean_orders_no_nulls`	0/4	❌
`test_red_clean_orders_no_duplicates`	0/4	❌

❌ 錯誤提示（點擊展開）

test_red_clean_orders_returns_df

tests/test_m2.py:59: in test_red_clean_orders_returns_df
    assert result is not None, "函式回傳了 None，請確認有 return"
E   AssertionError: 函式回傳了 None，請確認有 return
E   assert None is not None

test_red_clean_orders_columns

tests/test_m2.py:64: in test_red_clean_orders_columns
    assert result is not None
E   assert None is not None

test_red_clean_orders_amount_is_numeric

tests/test_m2.py:70: in test_red_clean_orders_amount_is_numeric
    assert result is not None
E   assert None is not None

test_red_clean_orders_date_is_datetime

tests/test_m2.py:76: in test_red_clean_orders_date_is_datetime
    assert result is not None
E   assert None is not None

test_red_clean_orders_no_nulls

tests/test_m2.py:82: in test_red_clean_orders_no_nulls
    assert result is not None
E   assert None is not None

test_red_clean_orders_no_duplicates

tests/test_m2.py:88: in test_red_clean_orders_no_duplicates
    assert result is not None
E   assert None is not None

M3 Pandas 進階（90/100 — 90%）

題目	分數	狀態
`test_green_load_and_merge`	0/10	❌
`test_green_row_count`	10/10	✅
`test_green_column_list`	10/10	✅
`test_yellow_top_category`	15/15	✅
`test_yellow_gold_vip_stats`	15/15	✅
`test_yellow_region_avg_amount`	15/15	✅
`test_red_rfm_top5_shape`	9/9	✅
`test_red_rfm_top5_columns`	8/8	✅
`test_red_rfm_top5_sorted_by_m`	8/8	✅

❌ 錯誤提示（點擊展開）

test_green_load_and_merge

tests/test_m3.py:21: in test_green_load_and_merge
    result = green_load_and_merge()
             ^^^^^^^^^^^^^^^^^^^^^^
homework/m3_pandas_advanced.py:26: in green_load_and_merge
    orders = pd.read_csv('../datasets/ecommerce/orders_clean.csv')
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^...

M4 時間序列（30/100 — 30%）

題目	分數	狀態
`test_green_avg_by_month`	0/10	❌
`test_green_top3_dates`	0/10	❌
`test_green_date_range`	0/10	❌
`test_yellow_monthly_revenue`	0/15	❌
`test_yellow_rolling_avg`	15/15	✅
`test_yellow_category_median`	15/15	✅
`test_red_monthly_report_columns`	0/9	❌
`test_red_monthly_report_values`	0/8	❌
`test_red_monthly_report_growth`	0/8	❌

❌ 錯誤提示（點擊展開）

test_green_avg_by_month

tests/test_m4.py:17: in test_green_avg_by_month
    result = green_avg_by_month()
             ^^^^^^^^^^^^^^^^^^^^
homework/m4_timeseries.py:29: in green_avg_by_month
    return df.groupby(df['order_date'].dt.month)['amount'].mean()
           ^^
E   NameError: name 'df' is not defined

test_green_top3_dates

tests/test_m4.py:29: in test_green_top3_dates
    result = green_top3_dates()
             ^^^^^^^^^^^^^^^^^^
homework/m4_timeseries.py:38: in green_top3_dates
    return df['order_date'].dt.date.value_counts().head(3)
           ^^
E   NameError: name 'df' is not defined

test_green_date_range

tests/test_m4.py:36: in test_green_date_range
    result = green_date_range()
             ^^^^^^^^^^^^^^^^^^
homework/m4_timeseries.py:46: in green_date_range
    return (df['order_date'].min(), df['order_date'].max())
            ^^
E   NameError: name 'df' is not defined

test_yellow_monthly_revenue

tests/test_m4.py:45: in test_yellow_monthly_revenue
    result = yellow_monthly_revenue()
             ^^^^^^^^^^^^^^^^^^^^^^^^
homework/m4_timeseries.py:61: in yellow_monthly_revenue
    return df.set_index('order_date').resample('ME')['amount'].sum()
           ^^
E   NameError: name 'df' is not d...

test_red_monthly_report_columns

tests/test_m4.py:78: in test_red_monthly_report_columns
    result = red_monthly_report()
             ^^^^^^^^^^^^^^^^^^^^
homework/m4_timeseries.py:99: in red_monthly_report
    report = df.set_index('order_date').resample('ME').agg({
             ^^
E   NameError: name 'df' is not defined

test_red_monthly_report_values

tests/test_m4.py:88: in test_red_monthly_report_values
    result = red_monthly_report()
             ^^^^^^^^^^^^^^^^^^^^
homework/m4_timeseries.py:99: in red_monthly_report
    report = df.set_index('order_date').resample('ME').agg({
             ^^
E   NameError: name 'df' is not defined

test_red_monthly_report_growth

tests/test_m4.py:95: in test_red_monthly_report_growth
    result = red_monthly_report()
             ^^^^^^^^^^^^^^^^^^^^
homework/m4_timeseries.py:99: in red_monthly_report
    report = df.set_index('order_date').resample('ME').agg({
             ^^
E   NameError: name 'df' is not defined

M5 視覺化（10/100 — 10%）

題目	分數	狀態
`test_green_bar_category`	0/10	❌
`test_green_hist_amount`	0/10	❌
`test_green_set_labels`	10/10	✅
`test_yellow_line_region_trend`	0/15	❌
`test_yellow_box_vip`	0/15	❌
`test_yellow_scatter_price_amount`	0/15	❌
`test_red_category_dashboard_is_figure`	0/13	❌
`test_red_category_dashboard_has_4_subplots`	0/12	❌

❌ 錯誤提示（點擊展開）

test_green_bar_category

tests/test_m5.py:22: in test_green_bar_category
    result = green_bar_category()
             ^^^^^^^^^^^^^^^^^^^^
homework/m5_visualization.py:32: in green_bar_category
    sns.countplot(x='category', data=df)
                                     ^^
E   NameError: name 'df' is not defined

test_green_hist_amount

tests/test_m5.py:29: in test_green_hist_amount
    result = green_hist_amount()
             ^^^^^^^^^^^^^^^^^^^
homework/m5_visualization.py:42: in green_hist_amount
    sns.histplot(df['amount'], bins=20)
                 ^^
E   NameError: name 'df' is not defined

test_yellow_line_region_trend

tests/test_m5.py:45: in test_yellow_line_region_trend
    result = yellow_line_region_trend()
             ^^^^^^^^^^^^^^^^^^^^^^^^^^
homework/m5_visualization.py:76: in yellow_line_region_trend
    plot_df = df[df['region'].isin(['North', 'South'])].copy()
              ^^
E   NameError: name 'df' ...

test_yellow_box_vip

tests/test_m5.py:53: in test_yellow_box_vip
    result = yellow_box_vip()
             ^^^^^^^^^^^^^^^^
homework/m5_visualization.py:90: in yellow_box_vip
    sns.boxplot(x='vip_level', y='amount', data=df)
                                                ^^
E   NameError: name 'df' is not defined

test_yellow_scatter_price_amount

tests/test_m5.py:58: in test_yellow_scatter_price_amount
    result = yellow_scatter_price_amount()
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
homework/m5_visualization.py:100: in yellow_scatter_price_amount
    sns.scatterplot(x='unit_price', y='amount', data=df)
                                   ...

test_red_category_dashboard_is_figure

tests/test_m5.py:66: in test_red_category_dashboard_is_figure
    _assert_is_figure(result, "red_category_dashboard")
tests/test_m5.py:15: in _assert_is_figure
    assert result is not None, f"{name}: 函式回傳了 None"
E   AssertionError: red_category_dashboard: 函式回傳了 None
E   assert None is not None

test_red_category_dashboard_has_4_subplots

tests/test_m5.py:71: in test_red_category_dashboard_has_4_subplots
    assert result is not None
E   assert None is not None

M6 Plotly Capstone（45/100 — 45%）

題目	分數	狀態
`test_green_plotly_bar`	0/10	❌
`test_green_plotly_line`	0/10	❌
`test_green_plotly_pie`	0/10	❌
`test_yellow_clean_and_merge`	15/15	✅
`test_yellow_kpi_summary`	15/15	✅
`test_yellow_plotly_scatter`	15/15	✅
`test_red_dashboard_is_figure`	0/13	❌
`test_red_dashboard_has_traces`	0/12	❌

❌ 錯誤提示（點擊展開）

test_green_plotly_bar

tests/test_m6.py:21: in test_green_plotly_bar
    result = green_plotly_bar()
             ^^^^^^^^^^^^^^^^^^
homework/m6_plotly_capstone.py:28: in green_plotly_bar
    df = pd.read_csv('../datasets/ecommerce/orders_enriched.csv')
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
/op...

test_green_plotly_line

tests/test_m6.py:26: in test_green_plotly_line
    result = green_plotly_line()
             ^^^^^^^^^^^^^^^^^^^
homework/m6_plotly_capstone.py:41: in green_plotly_line
    df = pd.read_csv('../datasets/ecommerce/orders_enriched.csv')
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^...

test_green_plotly_pie

tests/test_m6.py:31: in test_green_plotly_pie
    result = green_plotly_pie()
             ^^^^^^^^^^^^^^^^^^
homework/m6_plotly_capstone.py:56: in green_plotly_pie
    df = pd.read_csv('../datasets/ecommerce/orders_enriched.csv')
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
/op...

test_red_dashboard_is_figure

tests/test_m6.py:69: in test_red_dashboard_is_figure
    _assert_is_plotly_figure(result, "red_dashboard")
tests/test_m6.py:14: in _assert_is_plotly_figure
    assert result is not None, f"{name}: 函式回傳了 None"
E   AssertionError: red_dashboard: 函式回傳了 None
E   assert None is not None

test_red_dashboard_has_traces

tests/test_m6.py:73: in test_red_dashboard_has_traces
    assert result is not None
E   assert None is not None

Yuwen Chen and others added 3 commits April 30, 2026 10:29

完成作業繳交 - 陳郁文 - AIPE03

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完成作業繳交 - 陳郁文 - AIPE03

5c98075

完成作業繳交 - 陳郁文 - AIPE03

4562ef0

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完成作業繳交 - 陳郁文 - AIPE03#29

完成作業繳交 - 陳郁文 - AIPE03#29
yuwen-web wants to merge 3 commits into
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yuwen-web commented May 3, 2026

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github-actions Bot commented May 3, 2026

📊 作業批改結果

M1 NumPy（85/100 — 85%）

M2 Pandas 清理（75/100 — 75%）

M3 Pandas 進階（90/100 — 90%）

M4 時間序列（30/100 — 30%）

M5 視覺化（10/100 — 10%）

M6 Plotly Capstone（45/100 — 45%）

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