我從網上人類患病icd-11分類下載了一個json文件，該數據最多有8層嵌套，例如：? "name":"br08403",? ? "children":[? ? {? ? ? ? "name":"01 Certain infectious or parasitic diseases",? ? ? ? "children":[? ? ? ? {? ? ? ? ? ? "name":"Gastroenteritis or colitis of infectious origin",? ? ? ? ? ? "children":[? ? ? ? ? ? {? ? ? ? ? ? ? ? "name":"Bacterial intestinal infections",? ? ? ? ? ? ? ? "children":[? ? ? ? ? ? ? ? {? ? ? ? ? ? ? ? ? ? "name":"1A00? Cholera",? ? ? ? ? ? ? ? ? ? "children":[? ? ? ? ? ? ? ? ? ? {? ? ? ? ? ? ? ? ? ? ? ? "name":"H00110? Cholera"? ? ? ? ? ? ? ? ? ? }我嘗試使用以下代碼：def flatten_json(nested_json):? ? """? ? ? ? Flatten json object with nested keys into a single level.? ? ? ? Args:? ? ? ? ? ? nested_json: A nested json object.? ? ? ? Returns:? ? ? ? ? ? The flattened json object if successful, None otherwise.? ? """? ? out = {}? ? def flatten(x, name=''):? ? ? ? if type(x) is dict:? ? ? ? ? ? for a in x:? ? ? ? ? ? ? ? flatten(x[a], name + a + '_')? ? ? ? elif type(x) is list:? ? ? ? ? ? i = 0? ? ? ? ? ? for a in x:? ? ? ? ? ? ? ? flatten(a, name + str(i) + '_')? ? ? ? ? ? ? ? i += 1? ? ? ? else:? ? ? ? ? ? out[name[:-1]] = x? ? flatten(nested_json)? ? return outdf2 = pd.Series(flatten_json(dictionary)).to_frame()我得到的輸出是：name? ? br08403children_0_name 01 Certain infectious or parasitic diseaseschildren_0_children_0_name? Gastroenteritis or colitis of infectious originchildren_0_children_0_children_0_name? ?Bacterial intestinal infectionschildren_0_children_0_children_0_children_0_name? ? 1A00 Cholera... ...children_21_children_17_children_10_name? ? NF0A Certain early complications of trauma, n...children_21_children_17_children_11_name? ? NF0Y Other specified effects of external causeschildren_21_children_17_children_12_name? ? NF0Z Unspecified effects of external causeschildren_21_children_18_name? ? NF2Y Other specified injury, poisoning or cer...children_21_children_19_name? ? NF2Z Unspecified injury, poisoning or certain..但所需的輸出是一個具有 8 列的數據框，它可以容納嵌套名稱鍵的最后深度，例如：