初级

WHERE：BETWEEN范围查询

未完成

初级参考完整示例代码供参考，建议自己理解后重新输入

def solve():
    import sqlite3
    import pandas as pd
    conn = sqlite3.connect(':memory:')
    df = pd.read_csv('https://liangdaima.com/static/data/german_credit_risk.csv')
    df.to_sql('german_credit_risk', conn, index=False)
    result = conn.execute('SELECT * FROM german_credit_risk WHERE "Credit amount" BETWEEN 5000 AND 10000').fetchall()
    conn.close()
    return result

示例

输入

print(solve())

期望输出

[(1, 22, 'female', 2, 'own', 'little', 'moderate', 5951, 48, 'radio/TV', 'bad'), (3, 45, 'male', 2, 'free', 'little', 'little', 7882, 42, 'furniture/equipment', 'good'), (5, 35, 'male', 1, 'free', None, None, 9055, 36, 'education', 'good'), (7, 35, 'male', 3, 'rent', 'little', 'moderate', 6948, 36, 'car', 'good'), (9, 28, 'male', 3, 'own', 'little', 'moderate', 5234, 30, 'car', 'bad'), (17, 25, 'male', 2, 'own', None, 'little', 8072, 30, 'business', 'good'), (29, 63, 'male', 2, 'own', 'little', 'little', 6836, 60, 'business', 'bad'), (32, 30, 'male', 2, 'own', 'moderate', 'moderate', 5866, 18, 'car', 'good'), (36, 31, 'male', 2, 'free', 'little', None, 6110, 48, 'education', 'good'), (42, 44, 'male', 1, 'own', 'little', 'moderate', 6204, 18, 'repairs', 'good'), (43, 24, 'male', 2, 'rent', 'moderate', 'little', 6187, 30, 'car', 'good'), (44, 58, 'female', 1, 'free', 'little', 'little', 6143, 48, 'car', 'bad'), (48, 39, 'male', 1, 'own', 'little', None, 7228, 11, 'car', 'good'), (51, 30, 'male', 3, 'own', 'little', 'moderate', 5965, 27, 'car', 'good'), (56, 52, 'male', 3, 'own', None, 'moderate', 6468, 12, 'radio/TV', 'bad'), (57, 31, 'female', 2, 'own', 'little', None, 9566, 36, 'radio/TV', 'good'), (59, 23, 'female', 1, 'rent', 'little', 'little', 6229, 36, 'furniture/equipment', 'bad'), (65, 48, 'male', 2, 'own', None, None, 5190, 27, 'repairs', 'good'), (70, 30, 'female', 2, 'own', 'little', None, 8133, 36, 'car', 'good'), (73, 41, 'female', 1, 'own', 'little', 'moderate', 5954, 42, 'business', 'good'), (78, 39, 'male', 1, 'own', None, None, 9436, 54, 'car', 'good'), (80, 44, 'female', 2, 'own', None, None, 5943, 24, 'radio/TV', 'bad'), (99, 36, 'male', 3, 'rent', None, 'moderate', 7057, 20, 'car', 'good'), (106, 39, 'male', 3, 'own', 'little', None, 6458, 18, 'car', 'bad'), (107, 32, 'male', 2, 'own', 'little', 'moderate', 6078, 12, 'car', 'good'), (108, 30, 'female', 2, 'own', None, 'little', 7721, 24, 'furniture/equipment', 'good'), (112, 28, 'male', 1, 'rent', 'little', 'moderate', 6260, 18, 'car', 'good'), (113, 25, 'female', 2, 'own', 'little', None, 7855, 36, 'car', 'bad'), (116, 30, 'female', 3, 'own', None, 'little', 7174, 42, 'radio/TV', 'bad'), (130, 24, 'female', 2, 'own', None, 'moderate', 8487, 48, 'car', 'good'), (131, 29, 'male', 2, 'own', 'little', 'little', 6887, 36, 'education', 'bad'), (136, 27, 'male', 2, 'own', 'rich', None, 8613, 27, 'car', 'good'), (148, 28, 'male', 2, 'own', 'little', 'little', 5371, 36, 'furniture/equipment', 'good'), (152, 24, 'male', 2, 'own', 'little', 'rich', 5848, 36, 'radio/TV', 'good'), (153, 29, 'female', 2, 'rent', 'rich', 'moderate', 7758, 24, 'car', 'good'), (154, 36, 'male', 3, 'rent', 'moderate', 'moderate', 6967, 24, 'business', 'good'), (163, 70, 'male', 3, 'free', 'little', 'moderate', 7308, 10, 'car', 'good'), (175, 53, 'female', 3, 'own', None, None, 7485, 30, 'car', 'bad'), (180, 28, 'male', 2, 'own', 'little', None, 9572, 36, 'business', 'bad'), (186, 74, 'female', 3, 'free', 'little', 'moderate', 5129, 9, 'car', 'bad'), (202, 26, 'male', 2, 'own', 'little', None, 5117, 27, 'business', 'good'), (208, 21, 'male', 1, 'own', 'little', 'little', 6568, 24, 'business', 'good'), (212, 50, 'male', 2, 'own', 'little', 'little', 5293, 27, 'business', 'bad'), (227, 53, 'male', 3, 'free', 'little', 'little', 7865, 12, 'furniture/equipment', 'bad'), (255, 27, 'male', 1, 'own', None, 'moderate', 7418, 60, 'radio/TV', 'good'), (262, 36, 'male', 3, 'free', 'little', 'little', 5302, 18, 'car', 'good'), (266, 36, 'male', 2, 'own', None, None, 6304, 36, 'business', 'good'), (268, 45, 'male', 3, 'own', 'little', 'little', 8978, 14, 'car', 'bad'), (287, 31, 'male', 3, 'free', 'moderate', 'moderate', 7582, 48, 'vacation/others', 'good'), (291, 28, 'male', 3, 'rent', 'little', 'moderate', 9398, 36, 'car', 'bad'), (292, 44, 'female', 3, 'free', 'little', 'little', 6419, 24, 'car', 'good'), (294, 46, 'male', 3, 'own', None, None, 7629, 48, 'business', 'good'), (295, 26, 'female', 2, 'own', 'little', 'moderate', 9960, 48, 'furniture/equipment', 'bad'), (310, 40, 'male', 0, 'free', None, 'moderate', 5381, 48, 'vacation/others', 'good'), (311, 25, 'male', 2, 'own', 'moderate', None, 5511, 24, 'furniture/equipment', 'good'), (326, 49, 'male', 2, 'rent', None, None, 5801, 12, 'furniture/equipment', 'good'), (330, 75, 'male', 3, 'free', 'little', 'little', 6615, 24, 'car', 'good'), (332, 24, 'female', 3, 'own', 'moderate', 'moderate', 7408, 60, 'car', 'bad'), (340, 24, 'female', 2, 'free', 'little', 'moderate', 5743, 24, 'education', 'good'), (353, 28, 'male', 2, 'rent', 'little', 'little', 6199, 12, 'radio/TV', 'bad'), (371, 33, 'male', 2, 'own', 'little', None, 6070, 18, 'radio/TV', 'good'), (375, 37, 'female', 2, 'rent', 'little', 'little', 7685, 48, 'business', 'bad'), (387, 40, 'male', 3, 'own', 'little', 'moderate', 7374, 18, 'furniture/equipment', 'good'), (402, 27, 'male', 2, 'own', 'little', None, 8648, 24, 'business', 'bad'), (411, 35, 'male', 3, 'own', 'little', None, 7253, 33, 'car', 'good'), (415, 35, 'male', 2, 'own', 'little', None, 5842, 36, 'car', 'good'), (417, 23, 'female', 2, 'rent', None, 'little', 8471, 18, 'education', 'good'), (444, 30, 'female', 3, 'own', 'little', 'moderate', 5096, 48, 'furniture/equipment', 'bad'), (467, 32, 'male', 2, 'own', None, None, 7238, 48, 'radio/TV', 'good'), (477, 25, 'male', 2, 'own', 'little', 'rich', 5152, 24, 'radio/TV', 'good'), (491, 42, 'female', 3, 'free', 'little', 'moderate', 8318, 27, 'business', 'bad'), (496, 29, 'male', 3, 'rent', 'moderate', 'moderate', 9034, 36, 'furniture/equipment', 'bad'), (501, 42, 'male', 2, 'free', 'little', 'little', 5493, 36, 'car', 'good'), (507, 34, 'male', 3, 'own', 'moderate', 'moderate', 6850, 15, 'car', 'bad'), (509, 45, 'male', 3, 'own', 'moderate', None, 8588, 39, 'car', 'good'), (517, 23, 'female', 2, 'rent', 'little', None, 7127, 36, 'furniture/equipment', 'bad'), (520, 44, 'male', 2, 'free', 'little', None, 5507, 24, 'repairs', 'good'), (522, 53, 'male', 2, 'free', 'little', 'little', 7119, 48, 'furniture/equipment', 'bad'), (525, 30, 'male', 2, 'own', 'little', 'moderate', 7966, 26, 'car', 'good'), (538, 42, 'male', 3, 'free', 'little', 'little', 7763, 48, 'car', 'bad'), (542, 31, 'male', 2, 'own', None, 'little', 6350, 30, 'furniture/equipment', 'bad'), (549, 35, 'male', 2, 'free', None, None, 8858, 48, 'car', 'good'), (552, 34, 'male', 2, 'own', 'little', 'little', 6999, 48, 'radio/TV', 'bad'), (557, 29, 'female', 2, 'own', None, None, 5003, 21, 'car', 'bad'), (569, 31, 'female', 2, 'own', 'little', 'little', 6758, 48, 'radio/TV', 'bad'), (571, 38, 'male', 2, 'own', 'little', None, 5954, 30, 'radio/TV', 'good'), (572, 26, 'female', 3, 'rent', None, None, 5433, 24, 'car', 'good'), (616, 27, 'male', 3, 'free', None, 'moderate', 9157, 60, 'radio/TV', 'good'), (645, 27, 'male', 2, 'rent', None, None, 7980, 36, 'business', 'bad'), (650, 50, 'male', 3, 'free', 'little', 'little', 7476, 48, 'education', 'good'), (653, 42, 'male', 3, 'own', 'moderate', 'moderate', 8086, 36, 'car', 'bad'), (659, 41, 'male', 2, 'own', 'little', 'moderate', 6361, 18, 'furniture/equipment', 'good'), (665, 27, 'male', 3, 'own', 'little', None, 6314, 24, 'vacation/others', 'good'), (671, 31, 'male', 2, 'own', 'moderate', None, 5742, 36, 'business', 'good'), (676, 33, 'male', 2, 'own', 'little', None, 5150, 24, 'furniture/equipment', 'good'), (677, 24, 'male', 2, 'own', 'moderate', 'moderate', 5595, 72, 'radio/TV', 'bad'), (683, 47, 'male', 2, 'free', 'little', None, 5103, 24, 'radio/TV', 'good'), (684, 31, 'male', 1, 'own', 'moderate', 'moderate', 9857, 36, 'business', 'good'), (685, 34, 'male', 2, 'free', None, None, 6527, 60, 'car', 'good'), (701, 46, 'male', 2, 'free', 'little', 'little', 6331, 48, 'car', 'bad'), (705, 35, 'female', 2, 'free', 'quite rich', None, 5324, 15, 'car', 'good'), (706, 24, 'male', 2, 'own', 'moderate', 'moderate', 6560, 48, 'car', 'bad'), (715, 63, 'male', 2, 'own', None, None, 7596, 30, 'car', 'good'), (719, 31, 'male', 2, 'own', 'moderate', 'moderate', 6148, 20, 'car', 'good'), (728, 59, 'female', 2, 'rent', 'little', 'moderate', 6416, 48, 'business', 'bad'), (730, 33, 'male', 2, 'own', 'little', 'moderate', 6403, 24, 'radio/TV', 'good'), (738, 45, 'male', 3, 'own', 'little', None, 6761, 6, 'car', 'good'), (748, 26, 'male', 2, 'own', None, None, 5248, 21, 'car', 'good'), (753, 25, 'female', 2, 'own', 'little', None, 5771, 30, 'radio/TV', 'good'), (760, 59, 'female', 2, 'own', None, None, 5045, 15, 'car', 'good'), (771, 25, 'female', 3, 'own', 'little', 'little', 8065, 36, 'education', 'bad'), (778, 38, 'male', 3, 'own', 'rich', None, 5711, 36, 'car', 'good'), (784, 60, 'male', 3, 'own', None, 'moderate', 6468, 20, 'car', 'good'), (788, 50, 'male', 2, 'free', 'little', 'moderate', 6224, 48, 'education', 'bad'), (789, 27, 'male', 2, 'own', 'little', 'little', 5998, 40, 'education', 'bad'), (791, 41, 'male', 3, 'own', None, None, 6313, 24, 'car', 'good'), (796, 51, 'male', 2, 'free', None, 'little', 7511, 18, 'car', 'bad'), (804, 24, 'female', 0, 'rent', None, 'moderate', 7472, 12, 'car', 'good'), (805, 24, 'male', 2, 'own', 'little', 'little', 9271, 36, 'car', 'bad'), (808, 55, 'male', 3, 'free', 'little', 'moderate', 9283, 42, 'car', 'good'), (812, 24, 'male', 2, 'own', 'little', 'little', 9629, 36, 'car', 'bad'), (815, 54, 'female', 2, 'rent', 'little', 'moderate', 7432, 36, 'car', 'good'), (828, 47, 'male', 2, 'free', None, 'little', 8335, 36, 'car', 'bad'), (829, 38, 'male', 2, 'free', None, 'moderate', 6681, 48, 'business', 'good'), (833, 42, 'female', 2, 'own', None, 'moderate', 5084, 24, 'radio/TV', 'good'), (840, 29, 'male', 2, 'own', 'little', 'little', 5179, 36, 'furniture/equipment', 'bad'), (846, 68, 'male', 2, 'rent', None, None, 6761, 18, 'car', 'bad'), (860, 27, 'male', 2, 'own', 'rich', None, 5804, 24, 'car', 'good'), (868, 37, 'male', 2, 'own', None, None, 7409, 36, 'business', 'good'), (870, 40, 'female', 2, 'own', 'quite rich', None, 7678, 36, 'furniture/equipment', 'good'), (879, 36, 'male', 2, 'own', None, None, 6742, 30, 'radio/TV', 'good'), (880, 38, 'male', 3, 'own', 'little', None, 7814, 24, 'car', 'good'), (881, 48, 'male', 2, 'free', None, None, 9277, 24, 'car', 'good'), (888, 34, 'male', 3, 'own', 'little', None, 6614, 36, 'car', 'good'), (889, 40, 'male', 2, 'rent', None, None, 7824, 28, 'car', 'good'), (893, 34, 'male', 2, 'own', 'little', 'moderate', 5800, 36, 'car', 'good'), (895, 31, 'male', 3, 'own', None, None, 8947, 36, 'car', 'good'), (924, 55, 'male', 2, 'own', 'little', 'little', 6872, 24, 'furniture/equipment', 'bad'), (938, 42, 'male', 2, 'free', 'little', 'moderate', 6288, 60, 'education', 'bad'), (939, 46, 'male', 3, 'own', None, None, 6842, 24, 'car', 'good'), (945, 30, 'female', 2, 'own', 'quite rich', 'moderate', 8358, 48, 'car', 'good'), (968, 29, 'male', 2, 'rent', None, None, 7166, 42, 'radio/TV', 'good'), (971, 43, 'male', 1, 'own', 'little', None, 7393, 24, 'car', 'good'), (973, 36, 'male', 2, 'rent', 'little', 'little', 7297, 60, 'business', 'bad'), (980, 49, 'male', 2, 'own', 'little', 'moderate', 8386, 30, 'furniture/equipment', 'bad'), (983, 26, 'male', 2, 'own', 'little', 'little', 8229, 36, 'car', 'bad'), (986, 33, 'male', 2, 'own', 'little', 'rich', 6289, 42, 'business', 'good'), (988, 29, 'male', 3, 'free', 'little', 'little', 6579, 24, 'car', 'good')]

Python 代码 🔒 登录后使用

def solve():
    pass

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