完成作業繳交 -張詩彤 -AIPE03

[oscar189150-crypto]

完成作業繳交 -張詩彤 -AIPE03

[github-actions]

📊 作業批改結果

總分：350 / 600（58%）— 等級 F

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

M1 NumPy（100/100 — 100%）

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	15/15	✅
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	✅

---

M2 Pandas 清理（90/100 — 90%）

題目	分數	狀態
test_green_read_csv	0/10	❌
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	4/4	✅
test_red_clean_orders_columns	4/4	✅
test_red_clean_orders_amount_is_numeric	4/4	✅
test_red_clean_orders_date_is_datetime	5/5	✅
test_red_clean_orders_no_nulls	4/4	✅
test_red_clean_orders_no_duplicates	4/4	✅

❌ 錯誤提示（點擊展開）

test_green_read_csv

tests/test_m2.py:17: in test_green_read_csv
    result = green_read_csv()
             ^^^^^^^^^^^^^^^^
homework/m2_pandas_cleaning.py:23: in green_read_csv
    df = pd.read_csv("../datasets/ecommerce/orders_raw.csv")
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
/opt/hostedtoolcache/...

---

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:27: 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:30: in green_avg_by_month
    df = _load_data()
         ^^^^^^^^^^^^
homework/m4_timeseries.py:14: in _load_data
    df = pd.read_csv("../datasets/ecommerce/...

test_green_top3_dates

tests/test_m4.py:29: in test_green_top3_dates
    result = green_top3_dates()
             ^^^^^^^^^^^^^^^^^^
homework/m4_timeseries.py:43: in green_top3_dates
    df = _load_data()
         ^^^^^^^^^^^^
homework/m4_timeseries.py:14: in _load_data
    df = pd.read_csv("../datasets/ecommerce/orders_e...

test_green_date_range

tests/test_m4.py:36: in test_green_date_range
    result = green_date_range()
             ^^^^^^^^^^^^^^^^^^
homework/m4_timeseries.py:55: in green_date_range
    df = _load_data()
         ^^^^^^^^^^^^
homework/m4_timeseries.py:14: in _load_data
    df = pd.read_csv("../datasets/ecommerce/orders_e...

test_yellow_monthly_revenue

tests/test_m4.py:45: in test_yellow_monthly_revenue
    result = yellow_monthly_revenue()
             ^^^^^^^^^^^^^^^^^^^^^^^^
homework/m4_timeseries.py:73: in yellow_monthly_revenue
    df = _load_data()
         ^^^^^^^^^^^^
homework/m4_timeseries.py:14: in _load_data
    df = pd.read_csv("../dat...

test_red_monthly_report_columns

tests/test_m4.py:78: in test_red_monthly_report_columns
    result = red_monthly_report()
             ^^^^^^^^^^^^^^^^^^^^
homework/m4_timeseries.py:121: in red_monthly_report
    df = _load_data()
         ^^^^^^^^^^^^
homework/m4_timeseries.py:14: in _load_data
    df = pd.read_csv("../datasets/e...

test_red_monthly_report_values

tests/test_m4.py:88: in test_red_monthly_report_values
    result = red_monthly_report()
             ^^^^^^^^^^^^^^^^^^^^
homework/m4_timeseries.py:121: in red_monthly_report
    df = _load_data()
         ^^^^^^^^^^^^
homework/m4_timeseries.py:14: in _load_data
    df = pd.read_csv("../datasets/ec...

test_red_monthly_report_growth

tests/test_m4.py:95: in test_red_monthly_report_growth
    result = red_monthly_report()
             ^^^^^^^^^^^^^^^^^^^^
homework/m4_timeseries.py:121: in red_monthly_report
    df = _load_data()
         ^^^^^^^^^^^^
homework/m4_timeseries.py:14: in _load_data
    df = pd.read_csv("../datasets/ec...

---

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
    df = _load_data()
         ^^^^^^^^^^^^
homework/m5_visualization.py:17: in _load_data
    return pd.read_csv("../datasets/ec...

test_green_hist_amount

tests/test_m5.py:29: in test_green_hist_amount
    result = green_hist_amount()
             ^^^^^^^^^^^^^^^^^^^
homework/m5_visualization.py:47: in green_hist_amount
    df = _load_data()
         ^^^^^^^^^^^^
homework/m5_visualization.py:17: in _load_data
    return pd.read_csv("../datasets/ecomme...

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:88: in yellow_line_region_trend
    df = _load_data()
         ^^^^^^^^^^^^
homework/m5_visualization.py:17: in _load_data
    return pd....

test_yellow_box_vip

tests/test_m5.py:53: in test_yellow_box_vip
    result = yellow_box_vip()
             ^^^^^^^^^^^^^^^^
homework/m5_visualization.py:107: in yellow_box_vip
    df = _load_data()
         ^^^^^^^^^^^^
homework/m5_visualization.py:17: in _load_data
    return pd.read_csv("../datasets/ecommerce/orders_...

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:122: in yellow_scatter_price_amount
    df = _load_data()
         ^^^^^^^^^^^^
homework/m5_visualization.py:17: in _load_data
 ...

test_red_category_dashboard_is_figure

tests/test_m5.py:65: in test_red_category_dashboard_is_figure
    result = red_category_dashboard("Electronics")
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
homework/m5_visualization.py:146: in red_category_dashboard
    df = _load_data()
         ^^^^^^^^^^^^
homework/m5_visualization.py:17:...

test_red_category_dashboard_has_4_subplots

tests/test_m5.py:70: in test_red_category_dashboard_has_4_subplots
    result = red_category_dashboard("Electronics")
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
homework/m5_visualization.py:146: in red_category_dashboard
    df = _load_data()
         ^^^^^^^^^^^^
homework/m5_visualization.p...

---

M6 Plotly Capstone（30/100 — 30%）

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	0/15	❌
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:29: 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:50: 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:71: in green_plotly_pie
    df = pd.read_csv("../datasets/ecommerce/orders_enriched.csv")
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
/op...

test_yellow_clean_and_merge

tests/test_m6.py:38: in test_yellow_clean_and_merge
    result = yellow_clean_and_merge(
homework/m6_plotly_capstone.py:96: in yellow_clean_and_merge
    orders = orders.dropna(subset=['order_id', 'customer_id'])
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
/opt/hostedtoolcache/Pyt...

test_red_dashboard_is_figure

tests/test_m6.py:68: in test_red_dashboard_is_figure
    result = red_dashboard()
             ^^^^^^^^^^^^^^^
homework/m6_plotly_capstone.py:185: in red_dashboard
    orders = pd.read_csv("../datasets/ecommerce/orders_raw.csv").drop_duplicates()
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^...

test_red_dashboard_has_traces

tests/test_m6.py:72: in test_red_dashboard_has_traces
    result = red_dashboard()
             ^^^^^^^^^^^^^^^
homework/m6_plotly_capstone.py:185: in red_dashboard
    orders = pd.read_csv("../datasets/ecommerce/orders_raw.csv").drop_duplicates()
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^...