92 lines
2.7 KiB
Python
92 lines
2.7 KiB
Python
import sys
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sys.path.insert(0, "/opt/homebrew/lib/python3.13/site-packages")
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import pandas as pd
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# Define data for each category
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data_电动 = [
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["2615 - 243", 2372],
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["2633 - 244", 2389],
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["2542 - 243", 2299],
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["2453 - 369", 2084],
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["2670 - 244", 2426],
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["2416 - 357", 2059],
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["2574 - 239", 2335],
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["2641 - 243", 2398],
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["2640 - 242", 2398],
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["2257 - 244", 2013],
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["3114 - 410", 2704],
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["2815 - 412", 2403],
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["2545 - 243", 2302],
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["2299 - 243", 2056],
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]
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data_电工 = [["2443 - 20", 2423], ["2460 - 13", 2447], ["2339 - 17", 2322], ["2405 - 13", 2392], ["2661 - 16", 2645], ["3065 - 15", 3050], ["2912 - 14", 2898], ["2883 - 14", 2869]]
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data_黑板 = [
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["1902 - 14", 1888],
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["2319 - 14", 2305],
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["2041 - 16", 2025],
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["2451 - 13", 2438],
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["1993 - 14", 1979],
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["1841 - 18", 1823],
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["2083 - 16", 2067],
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["2009 - 18", 1991],
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["2001 - 16", 1985],
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["2014 - 14", 2000],
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["2073 - 17", 2056],
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["2008 - 15", 1993],
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["2030 - 16", 2014],
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["1928 - 22", 1906],
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["1991 - 19", 1972],
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["2235 - 12", 2223],
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["2335 - 19", 2316],
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["1920 - 16", 1904],
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["1942 - 16", 1926],
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["1974 - 19", 1955],
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["1863 - 16", 1847],
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["512 - 15", 497],
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]
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data_小 = [["1881 - 20", 1861], ["2055 - 22", 2033], ["2034 - 20", 2014], ["1981 - 17", 1964], ["1629 - 12", 1617], ["913 - 18", 895], ["1842 - 19", 1823], ["1891 - 20", 1871]]
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data_大 = [["1931 - 20", 1911], ["1775 - 11", 1764], ["1885 - 21", 1864], ["120 - 18", 102], ["1675 - 13", 1662]]
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# Pad all lists to the same length
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max_len = max(len(data_电动), len(data_电工), len(data_黑板), len(data_小), len(data_大))
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def pad_list(lst, length):
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return lst + [["", ""]] * (length - len(lst))
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data_电动 = pad_list(data_电动, max_len)
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data_电工 = pad_list(data_电工, max_len)
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data_黑板 = pad_list(data_黑板, max_len)
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data_小 = pad_list(data_小, max_len)
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data_大 = pad_list(data_大, max_len)
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# Create DataFrame
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df = pd.DataFrame(
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{
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"类别：电动": [row[0] for row in data_电动],
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"结果_1": [row[1] for row in data_电动],
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"类别：电工": [row[0] for row in data_电工],
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"结果_2": [row[1] for row in data_电工],
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"类别：黑板": [row[0] for row in data_黑板],
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"结果_3": [row[1] for row in data_黑板],
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"类别：小": [row[0] for row in data_小],
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"结果_4": [row[1] for row in data_小],
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"类别：大": [row[0] for row in data_大],
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"结果_5": [row[1] for row in data_大],
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}
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)
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# Replace empty strings with NaN for cleaner Excel output
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df = df.replace("", pd.NA)
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# Save to Excel
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df.to_excel("数据表.xlsx", index=False, sheet_name="数据表")
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print("Excel文件已创建: 数据表.xlsx")
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