Python 我将此json输出存储在dict中。我想删除；u"；从它和钥匙；社交“语气”；及；社交腔调；。下面是我的字典

我将这个json输出存储在dict中。我想从中删除“u”，以及键“social_tone”和“social tone”。下面是我的字典

     {u'document_tone': {u'tone_categories': [{u'category_id': u'emotion_tone', u'tones': [{u'tone_name': u'Anger', u'score': 0.573181, u'tone_id': u'anger'})

---

这不是JSON，而是Python字典的字符串表示形式。您可能正在执行类似于

str（my_dict）

的操作

要将字典编码为正确的JSON，请使用

这将产生预期的输出：

{"document_tone": {"tone_categories": []}}

---

这不是json，而是python dict，您可以使用

json.dumps

将dict转换为json字符串

import json
d = {u'document_tone': {u'tone_categories': [{u'category_id': u'emotion_tone', u'tones': [{u'tone_name': u'Anger', u'score': 0.573181, u'tone_id': u'anger'}, {u'tone_name': u'Disgust', u'score': 0.07296, u'tone_id': u'disgust'}, {u'tone_name': u'Fear', u'score': 0.129168, u'tone_id': u'fear'}, {u'tone_name': u'Joy', u'score': 0.058345, u'tone_id': u'joy'}, {u'tone_name': u'Sadness', u'score': 0.395484, u'tone_id': u'sadness'}], u'category_name': u'Emotion Tone'}, {u'category_id': u'language_tone', u'tones': [{u'tone_name': u'Analytical', u'score': 0.9762, u'tone_id': u'analytical'}, {u'tone_name': u'Confident', u'score': 0.0, u'tone_id': u'confident'}, {u'tone_name': u'Tentative', u'score': 0.733641, u'tone_id': u'tentative'}], u'category_name': u'Language Tone'}, {u'category_id': u'social_tone', u'tones': [{u'tone_name': u'Openness', u'score': 0.495667, u'tone_id': u'openness_big5'}, {u'tone_name': u'Conscientiousness', u'score': 0.194302, u'tone_id': u'conscientiousness_big5'}, {u'tone_name': u'Extraversion', u'score': 0.705757, u'tone_id': u'extraversion_big5'}, {u'tone_name': u'Agreeableness', u'score': 0.189904, u'tone_id': u'agreeableness_big5'}, {u'tone_name': u'Emotional Range', u'score': 0.850804, u'tone_id': u'emotional_range_big5'}], u'category_name': u'Social Tone'}]}, u'sentences_tone': [{u'input_to': 129, u'text': u'The argument states that as the physical injury occurring on the job increases, the wages paid to employees should also increase.', u'sentence_id': 0, u'input_from': 0, u'tone_categories': [{u'category_id': u'emotion_tone', u'tones': [{u'tone_name': u'Anger', u'score': 0.261539, u'tone_id': u'anger'}, {u'tone_name': u'Disgust', u'score': 0.209928, u'tone_id': u'disgust'}, {u'tone_name': u'Fear', u'score': 0.114434, u'tone_id': u'fear'}, {u'tone_name': u'Joy', u'score': 0.054893, u'tone_id': u'joy'}, {u'tone_name': u'Sadness', u'score': 0.360565, u'tone_id': u'sadness'}], u'category_name': u'Emotion Tone'}, {u'category_id': u'language_tone', u'tones': [{u'tone_name': u'Analytical', u'score': 0.398794, u'tone_id': u'analytical'}, {u'tone_name': u'Confident', u'score': 0.0, u'tone_id': u'confident'}, {u'tone_name': u'Tentative', u'score': 0.0, u'tone_id': u'tentative'}], u'category_name': u'Language Tone'}, {u'category_id': u'social_tone', u'tones': [{u'tone_name': u'Openness', u'score': 0.341757, u'tone_id': u'openness_big5'}, {u'tone_name': u'Conscientiousness', u'score': 0.53574, u'tone_id': u'conscientiousness_big5'}, {u'tone_name': u'Extraversion', u'score': 0.617458, u'tone_id': u'extraversion_big5'}, {u'tone_name': u'Agreeableness', u'score': 0.512805, u'tone_id': u'agreeableness_big5'}, {u'tone_name': u'Emotional Range', u'score': 0.944333, u'tone_id': u'emotional_range_big5'}], u'category_name': u'Social Tone'}]}, {u'input_to': 249, u'text': u'Hence it makes sense for employers to make the workplace safer, thereby reducing their payroll expenses and save money.', u'sentence_id': 1, u'input_from': 130, u'tone_categories': [{u'category_id': u'emotion_tone', u'tones': [{u'tone_name': u'Anger', u'score': 0.404165, u'tone_id': u'anger'}, {u'tone_name': u'Disgust', u'score': 0.060763, u'tone_id': u'disgust'}, {u'tone_name': u'Fear', u'score': 0.162228, u'tone_id': u'fear'}, {u'tone_name': u'Joy', u'score': 0.216902, u'tone_id': u'joy'}, {u'tone_name': u'Sadness', u'score': 0.149858, u'tone_id': u'sadness'}], u'category_name': u'Emotion Tone'}, {u'category_id': u'language_tone', u'tones': [{u'tone_name': u'Analytical', u'score': 0.952597, u'tone_id': u'analytical'}, {u'tone_name': u'Confident', u'score': 0.0, u'tone_id': u'confident'}, {u'tone_name': u'Tentative', u'score': 0.0, u'tone_id': u'tentative'}], u'category_name': u'Language Tone'}, {u'category_id': u'social_tone', u'tones': [{u'tone_name': u'Openness', u'score': 0.186754, u'tone_id': u'openness_big5'}, {u'tone_name': u'Conscientiousness', u'score': 0.304324, u'tone_id': u'conscientiousness_big5'}, {u'tone_name': u'Extraversion', u'score': 0.705324, u'tone_id': u'extraversion_big5'}, {u'tone_name': u'Agreeableness', u'score': 0.41322, u'tone_id': u'agreeableness_big5'}, {u'tone_name': u'Emotional Range', u'score': 0.890612, u'tone_id': u'emotional_range_big5'}], u'category_name': u'Social Tone'}]}, {u'input_to': 312, u'text': u'Stated in this way the argument is incomplete and unjustified.', u'sentence_id': 2, u'input_from': 250, u'tone_categories': [{u'category_id': u'emotion_tone', u'tones': [{u'tone_name': u'Anger', u'score': 0.489648, u'tone_id': u'anger'}, {u'tone_name': u'Disgust', u'score': 0.060676, u'tone_id': u'disgust'}, {u'tone_name': u'Fear', u'score': 0.043002, u'tone_id': u'fear'}, {u'tone_name': u'Joy', u'score': 0.066779, u'tone_id': u'joy'}, {u'tone_name': u'Sadness', u'score': 0.55297, u'tone_id': u'sadness'}], u'category_name': u'Emotion Tone'}, {u'category_id': u'language_tone', u'tones': [{u'tone_name': u'Analytical', u'score': 0.896021, u'tone_id': u'analytical'}, {u'tone_name': u'Confident', u'score': 0.0, u'tone_id': u'confident'}, {u'tone_name': u'Tentative', u'score': 0.497569, u'tone_id': u'tentative'}], u'category_name': u'Language Tone'}, {u'category_id': u'social_tone', u'tones': [{u'tone_name': u'Openness', u'score': 0.844606, u'tone_id': u'openness_big5'}, {u'tone_name': u'Conscientiousness', u'score': 0.258585, u'tone_id': u'conscientiousness_big5'}, {u'tone_name': u'Extraversion', u'score': 0.608366, u'tone_id': u'extraversion_big5'}, {u'tone_name': u'Agreeableness', u'score': 0.077368, u'tone_id': u'agreeableness_big5'}, {u'tone_name': u'Emotional Range', u'score': 0.209902, u'tone_id': u'emotional_range_big5'}], u'category_name': u'Social Tone'}]}, {u'input_to': 366, u'text': u'The argument is confusing causality with correlation.', u'sentence_id': 3, u'input_from': 313, u'tone_categories': [{u'category_id': u'emotion_tone', u'tones': [{u'tone_name': u'Anger', u'score': 0.46968, u'tone_id': u'anger'}, {u'tone_name': u'Disgust', u'score': 0.030388, u'tone_id': u'disgust'}, {u'tone_name': u'Fear', u'score': 0.161173, u'tone_id': u'fear'}, {u'tone_name': u'Joy', u'score': 0.065839, u'tone_id': u'joy'}, {u'tone_name': u'Sadness', u'score': 0.449657, u'tone_id': u'sadness'}], u'category_name': u'Emotion Tone'}, {u'category_id': u'language_tone', u'tones': [{u'tone_name': u'Analytical', u'score': 0.974578, u'tone_id': u'analytical'}, {u'tone_name': u'Confident', u'score': 0.0, u'tone_id': u'confident'}, {u'tone_name': u'Tentative', u'score': 0.91961, u'tone_id': u'tentative'}], u'category_name': u'Language Tone'}, {u'category_id': u'social_tone', u'tones': [{u'tone_name': u'Openness', u'score': 0.914923, u'tone_id': u'openness_big5'}, {u'tone_name': u'Conscientiousness', u'score': 0.099889, u'tone_id': u'conscientiousness_big5'}, {u'tone_name': u'Extraversion', u'score': 0.769632, u'tone_id': u'extraversion_big5'}, {u'tone_name': u'Agreeableness', u'score': 0.312134, u'tone_id': u'agreeableness_big5'}, {u'tone_name': u'Emotional Range', u'score': 0.062347, u'tone_id': u'emotional_range_big5'}], u'category_name': u'Social Tone'}]}]}
json.dumps(d)

---

这是我对你问题的回答

my_str="your massive string here"

data=my_str.replace("u'","").replace("social_tone","").replace("Social Tone","")

print data

---

这将帮助你更好地理解。

u

并不是字典中实际包含的内容，它只是unicode字符串的表示方式。您必须提供更多的上下文，才能获得关于如何删除键“social\u tone”的好答案。你到底想删除什么？dict是否总是具有相同的结构？我建议问另外一个问题，关于删除同时包含预期输入和预期输出的“社交语气”。我这样做了，并且能够从中删除“u”。但是，当我进入一个循环时，我不断得到错误类型错误：字符串索引必须是整数，而不是str我的循环是：对于json中的i_final2['document_tone']['tone_categories']：print（i['category_name']）print（“-”*len（i['categority_name']））对于i['tones']：print（j['tone_name'].ljust（20），（str（round（j['score']*10，1）））.rjust（10））print（）print（）JSON是数据结构的字符串表示形式。所以json.dumps只返回一个简单的字符串，你不能像那样迭代。@YashBhagwatkar请不要编辑一篇文章，用一个完全不同的问题替换它的全部内容。你可以使用

json.loads

像my_json=json.loads（json.dumps（my_dict））…然后当它循环@Yash Bhagwatkar时，你会得到结果

my_str="your massive string here"

data=my_str.replace("u'","").replace("social_tone","").replace("Social Tone","")

print data