利用python 数据分析入门，详细教程，教小白快速入门

　　这是一篇的数据的分析的典型案列，本人也是经历一次从无到有的过程，倍感珍惜，所以将其详细的记录下来，用来帮助后来者快速入门，，希望你能看到最后！

　　需求：对obo文件进行解析，输出为json字典格式

　　数据的格式如下：

　　

　　

　　我们设定 一个trem or  typedef为一条标签，一行为一条记录或者是键值对，以此为标准！

　　下面我们来对数据进行分析：

　　数据集中一共包含两种标签[trem] and [typedef]两种标签，每个标签下边有多个键值对，和唯一的标识符id，每行记录以“/n”结尾，且每条标签下下有多个相同的键值对，for examble: is_a，synonym...

　　算法设计：

　　1. 数据集中含有【trem】和【typedef】两种标签，因此，我们将数据分成两个数据集分别来进行处理。

　　2.循环遍历数据集，将键值对的键去除，并且对每一个键进行计数，并且进行去重操作

　　　（我刚开始的想法是根据id的数量于其他的键的数量进行比较，找出每个标签下存在重复的键值对，进而确定每个标签下存在重复的键值对 ：is_a，有点想多了，呵呵~）

　　3.由于发现每条标签下的记录的顺序都是一定的，id永远排在前面，用字典的形式存储是顺序是乱的，看上去很不舒服，所以我们相办法将他存在list里面，最大限度的还原了原有数据。

　　4. 处理相同键的键值对，字典中不允许存在一键多值的情况，我们将他存到一个list里面，也就相当于大list里面套小list

　　5.对数据集进行遍历，

　　　　（1）将取出来的键值对的键值存储起来

　　　　（2）以“【”作为我们的结束，将键值对的值存储到相对应的键下面，也就是一条标签

　　　　（3）将我们所取得值存储到汇总在一起，并且对声明的字典和list进行初始化，方便进行下一次的循环

　　　　（4）进行到这里，我们处理仅仅只是处理完了一个标签，还需要一个总的list,将所有的标签都存储进去

　　　　（这里的算法还是不完善的，我希望看到这篇博客的人可以提出宝贵的建议）

代码设计以及踩过的坑：

1.打印出所有的键

附引用代码：

 

'''
打印出所有的键
'''
with open('go.obo','r',encoding="utf-8") as f:         #打开文件
 
    for  line in f.readlines():                         #对数据进行每一行的循环
        list = []  ## 空列表
        lable = line.split(":")[0]                      #读取列表名，
        print(lable)
        list.append(lable)                   ## 使用 append() 向list中添加元素
        # print(list)
 
        #print(lable)
 
    # lst2 = list(set(lst1))
    # print(lst2)
    print(list)

 

2.但是在做上一步的时候，出现了一个问题，那就是没有区分局部变量和全局变量，问题发现的思路，先观察list输出的值，发现只有最后一个值，这时候就要考虑值是否被覆盖，找到问题，于是把list升级为全局变量

附引用代码：

with open('go.obo','r',encoding="utf-8") as f:         #打开文件
    # dict = {}
    list = []  ## 空列表
 
    for  line in f.readlines():                         #对数据进行每一行的循环
        total = []
        lable = line.split(":")[0]                      #读取列表名，正确来说读取完列表名之后，还要进行去重的处理
        # print(lable)
        # list.append(lable)                   ## 使用 append() 向list中添加元素
        # print(list)                            这种操作list中每次都只有一个变量
        list.append(lable)
 
        #print(lable)
    # lst2 = list(set(lst1))
    # print(lst2)
 
    # print(list)
    dict = {}
    for key in list:
        dict[key] = dict.get(key, 0) + 1
    print(dict)    

 

 

3.我们将统计的结果输出在txt中，这个时候问题出现了，输出的键值对中只有键没有值，这就搞笑了，接着往下走

附引用代码：

'''
将dict在txt中输出
'''
with open('go.obo', 'r', encoding="utf-8") as f:  # 打开文件
    # dict = {}
    list = []  ## 空列表
 
    for line in f.readlines():  # 对数据进行每一行的循环
        total = []
        lable = line.split(":")[0]  # 读取列表名，正确来说读取完列表名之后，还要进行去重的处理
        # print(lable)
        # list.append(lable)                   ## 使用 append() 向list中添加元素
        # print(list)                            这种操作list中每次都只有一个变量
        list.append(lable)
 
        # print(lable)
    print("################################################")
    # lst2 = list(set(lst1))
    # print(lst2)
 
    # print(list)
    dict = {}
    for key in list:
        dict[key] = dict.get(key, 0) + 1
    print(dict)
 
fileObject = open('sampleList.txt', 'w')
 
for ip in dict:
   fileObject.write(ip)
   fileObject.write('\n')
 
fileObject.close()

 

4.由于我平时处理的json文件比较多，主要面向mongo，所以我试着将其转化为json格式，发现问题解决了，这里还是很神奇的，但是不明确问题出在什么地方。

附引用代码：

import json
with open('go.obo', 'r', encoding="utf-8") as f:  # 打开文件
    # dict = {}
    list = []  ## 空列表
 
    for line in f.readlines():  # 对数据进行每一行的循环
        total = []
        lable = line.split(":")[0]  # 读取列表名，正确来说读取完列表名之后，还要进行去重的处理
        # print(lable)
        # list.append(lable)                   ## 使用 append() 向list中添加元素
        # print(list)                            这种操作list中每次都只有一个变量
        list.append(lable)
 
        # print(lable)
    print("################################################")
    # lst2 = list(set(lst1))
    # print(lst2)
 
    # print(list)
    dict = {}
    for key in list:
        dict[key] = dict.get(key, 0) + 1
    print(dict)
 
fileObject = open('sampleList.txt', 'w')
 
# for ip in dict:
#  fileObject.write(ip)
#  fileObject.write('\n')
#
# fileObject.close()
 
jsObj = json.dumps(dict)
 
fileObject = open('jsonFile.json', 'w')
fileObject.write(jsObj)
fileObject.close()

5.接下来我先实现简单的测试，抽取部分数据，抽取三个标签，然后再取标签里的两个值

附引用代码：

with open('nitian','r',encoding="utf-8") as f:         #打开文件
    # dic={}                                           #新建的字典
    total = []                                         #列表
    newdic = []                                        #列表
 
    #在这里进行第一次初始化
    #这里的每一个字段都要写两个
    id = {}  #
    id_number = ""#含有一行的为“”\            含有一行的为字符串
    is_a = {}
    is_a_list = []#含有多行的为[]               含有多行的为list
 
    for  line in f.readlines():                         #对数据进行每一行的循环
        lable = line.split(":")[0]                      #读取列表名，正确来说读取完列表名之后，还要进行去重的处理
        #print(lable)
        #开始判断
        if lable == "id":   #冒号前的内容                开始判断冒号之前的内容
            id_number = line[3:] #id 两个字母+
            # 一个冒号
        elif lable == "is_a":
            is_a_list.append(line[5:].split('\n'))
 
        elif line[0] == "[":
            #把数据存入newdic[]中
            id["id"] = id_number
            newdic.append(id)
 
            is_a["is_a"] = is_a_list
            newdic.append(is_a)
 
            #把newdic存入总的里面去
            total.append(newdic)
            #初始化所有新的标签
            id = {}  # 含有一个的为“”\
            id_number = ""
            is_a = {}
            is_a_list = []
 
            #初始化小的newdic
            newdic = []
 
    total.append(newdic)
 
print(total)

6.做到这里我们发现问题出了很多，也就是算法设计出现了问题

数据的开头出现了一系列的空的{id :“ ”} {name:“”} {},{}.....,多了一行初始化，回头检查算法,找到问题：我们用的“[”来判断一个标签的结束

修改方式（1）将符号“[”作为我们判断的开始

　　　　（2）修改数据，将数据中的开头的[term]去掉，加在数据集的结尾

7.数据的后面出现了总是出现一些没有意义的“ ”，我们发现是我们没有对每个键值对后面的标签进行处理，所以我们引入了strip()函数，但是strip()函数只能作用于字符串，当你想要作用于list时，要先把list里面的东西拿出来，进而进行操作。

8.键值对的键def 与关键字冲突，我们的解决简单粗暴，直接将其转化为大写

9.完整的代码如下：

附引用代码：

 

import json
 
class GeneOntology(object):
 
    def __init__(self, path):
        self.path = path
        self.total = []
 
    # Use a dictionary to remove extra values to Simplified procedure
    # def rebuild_list(self,record_name):
    #     records = {id,is_a}
    #
    #     list = rebuile_list('HEADER'')
    #     records.get(record_name)
 
    # Define a function to read and store data
    def read_storage_data(self):
 
        id = {}         #Use a dictionary to store each keyword
        id_number = ""  # Store the value of each row as a string
 
        is_obsolete = {}
        is_obsolete_number = ""
 
        is_class_level = {}
        is_class_level_number = ""
 
        transitive_over = {}
        transitive_over_number = ""
 
        # There is a place where the keyword “def” conflicts, so I want to change the name here.
        DEF = {}
        DEF_number = ""
 
        property_value = {}
        property_value_number = ""
 
        namespace = {}
        namespace_number = ""
 
        comment = {}
        comment_number = ""
 
        intersection_of = {}
        intersection_of_number = ""
 
        xref = {}
        xref_number = ""
 
        name = {}
        name_number = ""
 
        disjoint_from = {}
        disjoint_from_number = ""
 
        replaced_by = {}
        replaced_by_number = ""
 
        relationship = {}
        relationship_number = ""
 
        alt_id = {}
        alt_id_number = ""
 
        holds_over_chain = {}
        holds_over_chain_number = ""
 
        subset = {}
        subset_number = ""
 
        expand_assertion_to = {}
        expand_assertion_to_number = ""
 
        is_transitive = {}
        is_transitive_number = ""
 
        is_metadata_tag = {}
        is_metadata_tag_number = ""
 
        inverse_of = {}
        inverse_of_number = ""
 
        created_by = {}
        created_by_number = ""
 
        creation_date = {}
        creation_date_number = ""
 
        consider = {}
        consider_number = ""
 
        is_a = {}
        is_a_list = []  # A field name may have multiple values, so it is stored in the form of a “list”.
 
        synonym = {}
        synonym_list = []
 
        newdic = []
        f = open(self.path, 'r', encoding="utf-8")
        for line in f.readlines():
            lable = line.split(":")[0]        # Read the list ‘name’, starting from the position of '0', ending with ":", reading all field names
 
            # View the name of the list that was read
 
            # print(lable)
 
            # Start to judge
 
            if lable == "id":                 # Judge the label for storage
                id_number = line[3:].strip()  # Remove the label and colon, occupy 3 positions, and strip() is used to remove the trailing spaces.
 
            elif lable == "is_obsolete":
                is_obsolete_number = line[12:].strip()
 
            elif lable == "is_class_level":
                is_class_level_number = line[15:].strip()
 
            elif lable == "transitive_over":
                transitive_over_number = line[16:]
 
            elif lable == "def":
                DEF_number = line[5:].strip()
 
            elif lable == "property_value":
                property_value_number = line[15:].strip()
 
            elif lable == "namespace":
                namespace_number = line[10:].strip()
 
            elif lable == "comment":
                comment_number = line[8:].strip()
 
            elif lable == "intersection_of":
                intersection_of_number = line[16:].strip()
 
            elif lable == "xref":
                xref_number = line[5:].strip()
 
            elif lable == "name":
                name_number = line[5:].strip()
 
            elif lable == "disjoint_from":
                disjoint_from_number = line[14:].strip()
 
            elif lable == "replaced_by":
                replaced_by_number = line[12:].strip()
 
            elif lable == "relationship":
                relationship_number = line[13:].strip()
 
            elif lable == "alt_id":
                alt_id_number = line[7:].strip()
 
            elif lable == "holds_over_chain":
                holds_over_chain_number = line[17:].strip()
 
            elif lable == "subset":
                subset_number = line[7:].strip()
 
            elif lable == "expand_assertion_to":
                expand_assertion_to_number = line[20:].strip()
 
            elif lable == "is_transitive":
                is_transitive_number = line[14:].strip()
 
            elif lable == "is_metadata_tag":
                is_metadata_tag_number = line[16:].strip()
 
            elif lable == "inverse_of":
                inverse_of_number = line[11:].strip()
 
            elif lable == "created_by":
                created_by_number = line[11:].strip()
 
            elif lable == "creation_date":
                creation_date_number = line[14:].strip()
 
            elif lable == "consider":
                consider_number = line[9:].strip()
 
            elif lable == "is_a":
                is_a_list.append(line[5:].strip().split('\n'))
 
            elif lable == "synonym":
                synonym_list.append(line[8:].strip().split('\n'))
 
            # Put "[" as the end of the store.
            # If you want to "[" as the beginning of your storage, you will have to change the storage format of the data.
 
            elif line[0] == "[":
 
                # Assign values ​​and store the data in newdic[]
 
                id["id"] = id_number
                newdic.append(id)
 
                is_obsolete["is_obsolete"] = is_obsolete_number
                newdic.append(is_obsolete)
 
                is_class_level["is_class_level"] = is_class_level_number
                newdic.append(is_class_level)
 
                transitive_over["transitive_over"] = transitive_over_number
                newdic.append(transitive_over)
 
                DEF["def"] = DEF_number
                newdic.append(DEF)
 
                property_value["property_value"] = property_value_number
                newdic.append(property_value)
 
                namespace["namespace"] = namespace_number
                newdic.append(namespace)
 
                comment["comment"] = comment_number
                newdic.append(comment)
 
                intersection_of["intersection_of"] = intersection_of_number
                newdic.append(intersection_of)
 
                xref["xref"] = xref_number
                newdic.append(xref)
 
                name["name"] = name_number
                newdic.append(name)
 
                disjoint_from["disjoint_from"] = disjoint_from_number
                newdic.append(disjoint_from)
 
                replaced_by["replaced_by"] = replaced_by_number
                newdic.append(replaced_by)
 
                relationship["relationship"] = relationship_number
                newdic.append(relationship)
 
                alt_id["alt_id"] = alt_id_number
                newdic.append(alt_id)
 
                holds_over_chain["holds_over_chain"] = holds_over_chain_number
                newdic.append(holds_over_chain)
 
                subset["subset"] = subset_number
                newdic.append(subset)
 
                expand_assertion_to["expand_assertion_to"] = expand_assertion_to_number
                newdic.append(expand_assertion_to)
 
                is_transitive["is_transitive"] = is_transitive_number
                newdic.append(is_transitive)
 
                is_metadata_tag["is_metadata_tag"] = is_metadata_tag_number
                newdic.append(is_metadata_tag)
 
                inverse_of["inverse_of"] = inverse_of_number
                newdic.append(inverse_of)
 
                created_by["created_by"] = created_by_number
                newdic.append(created_by)
 
                creation_date["creation_date"] = creation_date_number
                newdic.append(creation_date)
 
                consider["consider"] = consider_number
                newdic.append(consider)
 
                is_a["is_a"] = is_a_list
                newdic.append(is_a)
 
                synonym["synonym"] = synonym_list
                newdic.append(synonym)
 
                # Save newdic in the total data set
                self.total.append(newdic)
 
                # Initialize all new tags
                id = {}
                id_number = ""
 
                is_obsolete = {}
                is_obsolete_number = ""
 
                is_class_level = {}
                is_class_level_number = ""
 
                transitive_over = {}
                transitive_over_number = ""
 
                DEF = {}
                DEF_number = ""
 
                property_value = {}
                property_value_number = ""
 
                namespace = {}
                namespace_number = ""
 
                comment = {}
                comment_number = ""
 
                intersection_of = {}
                intersection_of_number = ""
 
                xref = {}
                xref_number = ""
 
                name = {}
                name_number = ""
 
                disjoint_from = {}
                disjoint_from_number = ""
 
                replaced_by = {}
                replaced_by_number = ""
 
                relationship = {}
                relationship_number = ""
 
                alt_id = {}
                alt_id_number = ""
 
                holds_over_chain = {}
                holds_over_chain_number = ""
 
                subset = {}
                subset_number = ""
 
                expand_assertion_to = {}
                expand_assertion_to_number = ""
 
                is_transitive = {}
                is_transitive_number = ""
 
                is_metadata_tag = {}
                is_metadata_tag_number = ""
 
                inverse_of = {}
                inverse_of_number = ""
 
                created_by = {}
                created_by_number = ""
 
                creation_date = {}
                creation_date_number = ""
 
                is_a = {}
                is_a_list = []
 
                synonym = {}
                synonym_list = []
 
                # Initialize newdic
                newdic = []
 
            # total.append(newdic)
        # self.total.append(newdic)             #You append an empty newdic, so there is an empty one behind []
 
if __name__ == "__main__":
    class1 = GeneOntology('go (1).obo')
    class1.read_storage_data()
    print(class1.total)
 
    jsObj = json.dumps(class1.total)
    fileObject = open('jsonFile8.json', 'w')
    fileObject.write(jsObj)
    fileObject.close()

 

 

10.总结，做到这一块，也发现了自己的不足，不能依赖于代码，重要的自己思考问题的过程，将自己的逻辑表达清楚，然后哪里出问题，在查找相应的解决方法！