这是我正在使用的数据框的一个例子:
d = {
'item_number':['bdsm1000', 'bdsm1000', 'bdsm1000', 'ZZRWB18','ZZRWB18', 'ZZRWB18', 'ZZRWB18', 'ZZHP1427BLK', 'ZZHP1427', 'ZZHP1427', 'ZZHP1427', 'ZZHP1427', 'ZZHP1427', 'ZZHP1427', 'ZZHP1427', 'ZZHP1427', 'ZZHP1427', 'ZZHP1427', 'ZZHP1427', 'ZZHP1427', 'ZZHP1414', 'ZZHP1414', 'ZZHP1414', 'WRM115WNTR', 'WRM115WNTR', 'WRM115WNTR', 'WRM115WNTR', 'WRM115WNTR', 'WRM115WNTR', 'WRM115WNTR', 'WRM115WNTR', 'WRM115WNTR', 'WRM115WNTR', 'WRM115WNTR', 'WRM115WNTR', 'WRM115WNTR', 'WRM115SCFRE', 'WRM115SCFRE', 'WRM115SCFRE', 'WRM115SCFRE', 'WRM115SCFRE', 'WRM115SCFRE', 'WRM115SCFRE', 'WRM115SCFRE', 'WRM115SCFRE', 'WRM115SCFRE', 'WRM115SCFRE', 'WRM115SCFRE', 'WRM115SCFRE', 'WRM115SCFRE'],
'Comp_ID':[2454, 2454, 2454, 1395, 1395, 1395, 1395, 3378, 1266941, 660867, 43978, 1266941, 660867, 43978, 1266941, 660867, 43978, 1266941, 660867, 43978, 43978, 43978, 43978, 1197347907, 70745, 4737, 1197347907, …我在使用重复或 drop_duplicates 来查找/删除数据框中的所有重复项时遇到问题。
我的数据看起来像这样，但是，我的数据有 52k 行长。
data = {'inventory number':['WL-SMART-INWALL',
'WL-NMDISH-22',
'WL-MPS546-MESH',
'WAS-WG-500P',
'UKS/99757/69975',
'UKS/99757/69975',
'UKS/99750/S26361F2293L10',
'UKS/99750/S26361F2293L10',
'UKS/99733/69973',
'UKS/99733/69973',
'UKS/99727/AHD6502TU3CBK',
'UKS/99727/AHD6502TU3CBK',
'UKS/99725/PMK01',
'UKS/99725/PMK01',
'UKS/99294/A3L791R15MS',
'UKS/99294/A3L791R15MS',
'UKS/98865/58018251',
'UKS/98865/58018251',
'UKS/98509/90Q653AN1N0N2UA0',
'UKS/98509/90Q653AN1N0N2UA0',
'UKS/97771/FIBLCSC2',
'UKS/97771/FIBLCSC2',
'UKS/97627/FIBLCLC1',
'UKS/97627/FIBLCLC1'],
'minimum price': ['36.85',
'55.45',
'361.29',
'265.0',
'22.46',
'22.46',
'15.0',
'15.0',
'26.71',
'26.71',
'104.0',
'104.0',
'32.3',
'32.3',
'22.51',
'22.51',
'13.0',
'13.0',
'9.59',
'9.59',
'15.0',
'15.0',
'15.0',
'15.0'],
'cost':['26.11',
'39.23',
'254.99',
'187.09',
'16.0',
'16.0',
'10.7',
'10.7',
'19.0',
'19.0',
'73.46',
'73.46',
'23.0',
'23.0',
'16.0',
'16.0',
'9.29',
'9.29',
'7.0',
'7.0',
'10.7', …示例数据帧：
df = pd.DataFrame(np.random.randint(0, 10, size=(10, 4)), columns=list('ABCD'))
有没有办法重置列的索引？或轻松插入具有列索引位置值的行？我希望索引位置是最外层的索引，而列标题则是最内层的索引。
我构建了一个node express API并让它监听来自woocommerce_add_to_cart webhook的帖子请求,但是从那里获得的有效载荷基本上没有价值.
body:{ action: 'woocommerce_add_to_cart', arg:'098uoijo098920sa489983jk' }
有没有办法将产品数据添加到这些webhooks？如果不想从functions.php函数发送php curl请求,就像这样
我的functions.php函数:
function custom_add_to_cart($cart_item_key, $product_id, $quantity,
$variation_id, $variation, $cart_item_data){
//added this just to see if my event function even gets called, doesn't appear to
echo'<pre>';var_dump($product_id);echo'</pre>';die();
$product_info = json_encode(array($product_id => wc_get_product($product_id)));
$request_args = array(
'httpversion' => '1.1',
'headers' => 'Content-Type:application/json',
'body' => $product_info,
);
$response = wp_safe_remote_post("myapp.com/endpoint", $request_args);
}
add_action('woocommerce_add_to_cart', 'custom_add_to_cart', 10, 6);
这导致网站添加到购物车功能中断,所以我的假设是主题巴塞尔使用此操作挂钩并再次将其添加到functions.php导致错误.查看旧的段插件,他们也将此事件用于此目的,因此必须可以在多个位置使用此挂钩.
发生错误的代码段:
a.ajax({
url: basel_settings.ajaxurl,
data: e,
method: "POST",
success: function(b) {
if (b) {
var c = …我正在寻找使用 python 的 boto3 模块向 dynamodb 批量写入项目，我得到了这个。这是我第一次使用 aws cli 或 boto3。文档说当存在空值和可能不正确的数据类型时会发生验证异常错误，但我已经玩过所有这些并且它似乎不起作用。
dynamodb 是否只喜欢一次写入 25 个项目？如果是这样，我如何控制这些批次？
我的请求：
client = boto3.client('dynamodb')
response = client.batch_write_item(RequestItems=batch_dict)
batch_dict 的顶部：
{'scraper_exact_urls': [{'PutRequest': {'Item': {'Sku': {'S': 'T104P3'},
'pps_id': {'N': '427285976'},
'scraper_class_name': {'S': 'scraper_class_name'},
'store_id': {'N': '1197386754'},
'updated_by': {'S': 'user'},
'updated_on': {'N': '1480714223'},
'updated_url': {'S': 'http://www.blah.com'}}}},
{'PutRequest': {'Item': {'Sku': {'S': 'T104P3'},
'pps_id': {'N': '427285976'},
'scraper_class_name': {'S': 'scraper_class_name'},
'store_id': {'N': '1197386754'},
'updated_by': {'S': 'user'},
'updated_on': {'N': '1480714223'},
'updated_url': {'S': 'http://www.blah.com'}}}},....
架构：
属性：“pps_id”=>\Aws\DynamoDb\Enum\Type::NUMBER、“sku”=>\Aws\DynamoDb\Enum\Type::STRING、“scraper_class_name”=>\Aws\DynamoDb\Enum\Type： :STRING, "store_id"=>\Aws\DynamoDb\Enum\Type::NUMBER, "updated_url"=>\Aws\DynamoDb\Enum\Type::STRING, "updated_by"=>\Aws\DynamoDb\Enum\Type ::STRING, "updated_on"=>\Aws\DynamoDb\Enum\Type::NUMBER, 字段: …