How Python reads text data and translates it into a dataframe format

This time for you to bring Python read text data and into the Dataframe format of the method in detail, Python read the text data and conversion to Dataframe note what, the following is the actual case, take a look.

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Reads the data from the plain text format file "File_in" in the following format:

The output needs to be "file_out" in the following format:

The original format of the data is "Category: Content", with a blank line "\ n" as a sub-entry, converted into an entry line, in order to write the contents in sequence.

After reading, use pandas to set up the data called Dataframe form. This facilitates processing of data later. But the original format is not the usual table format, so do some simple processing first.

#coding: Utf8import sysfrom Pandas import DataFrame  #DataFrame通常来装二维的表格import pandas as PD      #pandas是流行的做数据分析的包 # The dictionary is created, and the keys and values are read from the file. The key is Nam,age ..., the value is lili,jim......dict_data={} #打开文件with open (' File_in.txt ', ' R ') as DF: #读每一行 for line  in  DF:    # If this line is a newline, skip it, use the length of ' \ n ' to find the empty line if    line.count (' \ n ') = = Len:      continue    #对每行清除前后空格 (if any), then use ":" To split    For KV in [Line.strip (). Split (': ')]:      #按照键, write the value in      dict_data.setdefault (kv[0],[]). Append (Kv[1]) #print (dict_ Data) Look at the effect # This is to read the key to become a list columnsname=list (Dict_data.keys ()) #建立一个DataFrame, the column name is the key name, that is Nam,age......frame = DataFrame ( Dict_data,columns=columnsname) #把DataFrame输出到一个表, do not line name and column name Frame.to_csv (' File_out0.txt ', index=false,header=false )

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