Exemple #1
0
def result():
    #讀取excel檔
    df = pd.read_excel("crash_all.xlsx")
    # 將其資料型態從 dataframe 變成 list
    # crash_all: 所有卡片的資訊
    crash_all = np.array(df).tolist()

    same_cards = reclassify()

    result_lst = []
    for i in range(len(same_cards)):
        lst_1 = same_cards[i]
        lst_4 = [
            0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
            0, 0, 0
        ]
        for j in range(len(lst_1)):
            lst_2 = lst_1[j]
            lst_3 = crash_all[lst_2]
            lst_4 = reshape(lst_3, which_class(lst_3), lst_4)

        result_lst.append(lst_4)

    print(result_lst)

    write_to_excel(result_lst, "result_lst.xlsx", "result_lst", mode=1)
Exemple #2
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def get_num_range():
    init = 0
    num_range = []
    num_range_temp = []
    crash_list = [a, b, c, d, e, f, g, h, i, j, k]
    for x in range(len(crash_list)):
        num_range_temp.append(init)
        num_range_temp.append(init + len(crash_list[x]) - 1)
        init += len(crash_list[x])
        num_range.append(num_range_temp)
        num_range_temp = []

    write_to_excel(num_range, "num_range.xlsx", "num_range")
Exemple #3
0
def get_crash_all():

    crash_all = a + b + c + d + e + f + g + h + i + j + k

    write_to_excel(crash_all, "crash_all.xlsx", "crash_all")