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ImagePicker 图像选择器如何一次选择多张图片？ - App Inventor 2 中文网 -...
https://www.fun123.cn/reference/components/media.html#ImagePicker
根据文档最新版本，是可以选多张图片的，但是实际测试下来，一次只能选一张，可能跟安卓版本及手机有关，可能有的手机可以选择多张，纯猜测未验证。英文社区也有相关...
App Inventor接入Supabase：开源免费的后端新选择 - App Inventor 2 拓展 -...
...客户端）
4. 安装Supabase扩展
在 App Inventor中文网（fun123.cn） 下载Supabase扩展组件，导入到项目中。
5. 配置连接
将Supabase URL和API Key填入扩展组件的对应属性中，即可开始使用。
注意事项
关于匿名登录：Supabase默认没...
App Inventor 2 鸿蒙先行版：AppInventor 从此支持全平台，不再安卓专属 - ...
大家好，这里是 App Inventor 2 中文网（fun123.cn）。
今天想和大家聊一个很多人关心、但我们一直比较谨慎的话题——App Inventor 2 的鸿蒙（HarmonyOS NEXT）版本。
————————————————
先说结论
鸿蒙先行版已...
TypeError: ObjectId('') is not JSON serializable
...
123
You should define you own JSONEncoder and using it:
import json
from bson import ObjectId
cl...
Quickly reading very large tables as dataframes
...
Hector Haffenden
1,09855 silver badges2121 bronze badges
answered Nov 13 '09 at 10:35
Richie CottonRichie Cotton
...
Pretty-Print JSON in Java
...1111") // "number":"555-1111",
.write("extension", "123") // "extension":"123"
.writeEnd() // },
.writeStartObject() // {
.write("number", "555-2222") // "number":"555-2222",
...
Format Float to n decimal places
...ed the result is a float number, not a string.
– seba123neo
Mar 4 '11 at 18:29
Are you saying you want to round the fl...
Ordering by the order of values in a SQL IN() clause
...
Two solutions that spring to mind:
order by case id when 123 then 1 when 456 then 2 else null end asc
order by instr(','||id||',',',123,456,') asc
(instr() is from Oracle; maybe you have locate() or charindex() or something like that)
...
PadLeft function in T-SQL
...as the number gets bigger it should ALWAYS work.... regardless if its 1 or 123456789...
So if your max value is 123456... you would see 0000123456 and if your min value is 1 you would see 0000000001
share
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...
Convert columns to string in Pandas
...der,
# Setup
df = pd.DataFrame({'A': ['a', 'b', 'c'], 'B': [{}, [1, 2, 3], 123]})
df
A B
0 a {}
1 b [1, 2, 3]
2 c 123
Upto pandas 0.25, there was virtually no way to distinguish that "A" and "B" do not have the same type of data.
# pandas <= 0.25
df.dtypes
A ...