在以下简化和非常基本的场景中,当附加,前置或由字符包围时,嵌入式表达式不会被替换:
df_one_ = df_one.merge(df_other_one, on='Sr.No.')
print(df_one_)
Sr.No. Apartment Type Carpet Area (in Sqmts) Number of Apartment \
0 1 Shops 70.63 6
Number of Booked Apartment Project Name Name \
0 0 SRUSHTI COMPLEX A and B
Proposed Date of Completion Number of Basement's Number of Plinth \
0 NaN 0 1
Number of Podium's Number of Slab of Super Structure Number of Stilts \
0 0 5 1
Number of Open Parking Number of Closed Parking
0 48 1
df_two_ = df_two.merge(df_other_two, on='Sr.No.')
print(df_two_)
Sr.No. Apartment Type Carpet Area (in Sqmts) Number of Apartment \
0 2 1BHK 1409.68 43
Number of Booked Apartment Project Name Name \
0 4 SRUSHTI COMPLEX C and D
Proposed Date of Completion Number of Basement's Number of Plinth \
0 NaN 0 1
Number of Podium's Number of Slab of Super Structure Number of Stilts \
0 0 5 1
Number of Open Parking Number of Closed Parking
0 51 1
执行方案返回:
* def jobId = '0001'
* def out =
"""
{
"jobId": "#(jobId)",
"outputMetadata": {
"fileName_OK": "#(jobId)",
"fileName_Fail_1": "some_text_#(jobId)",
"fileName_Fail_2": "#(jobId)-and-some-more-text",
"fileName_Fail_3": "prepend #(jobId) and append"
}
}
"""
* print out
是功能,限制还是错误?或者,我错过了什么?
答案 0 :(得分:0)
这是设计的!你可以这样做:
"fileName_Fail_2": "#(jobId + '-and-some-more-text')"
任何有效的JS表达式都可以填充到嵌入式表达式中,因此这不是限制。这仅适用于JSON字符串值,或者当整个RHS是引号内的字符串并保持解析简单时。希望有所帮助!