This article mainly introduces python How to package json Format strings and deal with single and double quotation marks , The content is detailed and easy to understand , The operation is simple and fast , It has certain reference value , I believe that after reading this article python How to package json Format strings and deal with single and double quotation marks. Articles will gain something , Let's have a look .
In the use of python do web There will be data interaction during service , Most currently use json Format data to interact , The recipient receives a standard json After formatting data , It is more convenient to parse data .
I have a scenario here that encapsulates the data of three array types into json Format and send it to the consumer , The three array types of data are ：
print(boxes) print(scores) print(txts) # Here is the print result # first ： [array([[292., 294.], [331., 293.], [349., 848.], [309., 850.]], dtype=float32), array([[339., 299.], [378., 298.], [392., 660.], [353., 662.]], dtype=float32)] # the second ： [0.9401206, 0.8182683] # Third ： [' Land remediation and soil remediation research center ', ' South China Agricultural University Dongtu ']
I put it this way str Format ：
txts_str = "" for i in range(len(txts)): if (len(txts_str) == 0): txts_str = str(txts[i]) else: # Because it's a string sentence , Choose an unusual symbol “|” Make intervals txts_str = txts_str + "|" + str(txts[i]) txt_scores = "" for i in range(len(scores)): if(len(txt_scores) == 0): txt_scores = str(scores[i]) else: txt_scores = txt_scores + "|" + str(scores[i]) txt_boxes = "" for i in range(len(boxes)): for j in range(len(boxes[i])): for k in range(len(boxes[i][j])): if (len(txt_boxes) == 0): txt_boxes = str(boxes[i][j][k]) else: txt_boxes = txt_boxes + "," + str(boxes[i][j][k]) # A print print(txt_boxes) print(txts_str) print(txt_scores) # Print the results ： #292.0,294.0,331.0,293.0,349.0,848.0,309.0,850.0,339.0,299.0,378.0,298.0,392.0,660.0,353.0,662.0 # Land remediation and soil remediation research center | South China Agricultural University Dongtu #0.9401206|0.8182683
Encapsulated into json：
# And then it's packaged as json：
result_data = {"txt_boxes": txt_boxes, "txts": txts, "txt_scores": txt_scores}It is found that the format is single quotation mark , It's not a standard json:
#{'txt_boxes': '292.0,294.0,331.0,293.0,349.0,848.0,309.0,850.0,339.0,299.0,378.0,298.0,392.0,660.0,353.0,662.0', 'txts': [' Land remediation and soil remediation research center ', ' South China Agricultural University Dongtu '], 'txt_scor
es': '0.9401206|0.8182683'}This turns single quotation marks into double quotation marks
json.dumps(result_data)
Find out json.dumps The Chinese format is wrong ：
#{"txt_boxes": "292.0,294.0,331.0,293.0,349.0,848.0,309.0,850.0,339.0,299.0,378.0,298.0,392.0,660.0,353.0,662.0", "txts": "\u571f\u5730\u6574\u6cbb\u4e0e\u571f\u58e4\u4fee\u590d\u7814\u7a76\u4e2d\u5fc3|\u534e\u5357\u519c\u4e1a\u5927\u5b66\u4e28\u4e1c\u56fe", "txt_scores": "0.9401206|0.8182683"}This is because json.dumps Used by default when serializing ascii code , To output real Chinese, you need to specify ensure_ascii=False：
json.dumps(result_data,ensure_ascii=False)
The result is the standard we want json Format ：
#{"txt_boxes": "292.0,294.0,331.0,293.0,349.0,848.0,309.0,850.0,339.0,299.0,378.0,298.0,392.0,660.0,353.0,662.0", "txts": [" Land remediation and soil remediation research center | South China Agricultural University Dongtu "], "txt_scores": "0.9401206|0.8182683"}About “python How to package json Format strings and handle single and double quotation marks ” That's all for this article , Thank you for reading ！ I'm sure you're right “python How to package json Format strings and handle single and double quotation marks ” Knowledge has a certain understanding , If you want to learn more , Welcome to the Yisu cloud industry information channel .
