Python - 解凍されたフォルダから、ファイルの名前を変更してcsvとして保存します

Question

Pythonを完全に新しくしました。私は、zipファイルをダウンロードし、その内容を解凍し、フォルダから特定のファイルを選択し、カスタマイズされたファイル名を提供し、csvとして保存するプロセスを自動化しようとしています。これは私がこれまで持っていたものです。

import zipfile 
import csv 
import unicodecsv as csv 

path = '.../Download' 
file_list = [os.path.join(path, f) for f in os.listdir(path)] 
time_sorted_list = sorted(file_list, key=os.path.getmtime) 
file_name = time_sorted_list[-1] 
myzip = zipfile.ZipFile(file_name) 
for contained_file in myzip.namelist(): 
    with myzip.open(contained_file, 'r') as f: 
     # save data to a CSV file 
     contained_file.to_csv('filetocsv.csv', encoding='utf-8') 

はしかし、私はこのエラーに出くわした：

File "<ipython-input-13-189ea422e24c>", line 9, in <module> 
    f.to_csv('filetocsv.csv', encoding='utf-8') 
AttributeError: 'ZipExtFile' object has no attribute 'to_csv' 

stackoverflowの上熟読から、私は目的がto_csv機能を持っていないことを理解しています。この問題をどのように修正できますか？

さらに、保存されたcsvファイルベースの名前変更機能をコード内の複数の保存オブジェクトにカスタマイズする方法はありますか？たとえば、ダウンロードしたファイルがcrop_water_supply、input_level、およびcountryの場合、ファイル名はcrop-water_supply-input_level-countryです。

編集 @Generic Guyさんのコメントに対する応答として、保存しようとしているファイルは.ascファイルです。 .csvファイルを.csvファイルとして開くことができます。私はちょうどプロセス全体を自動化したい。

@ MedAliさんのコメントに対する回答として、あなたの質問に最もよく答える方法がわかりませんが、フォルダを解凍すると、次のファイルがあります。 data.asc、data.prj、legend.png、map.png、 select.tsv、およびstat.tsvです。

私が心配しているのは、data.ascファイルです。このファイルは、csvファイルとして別のフォルダに保存します。

編集は

私はメモ帳を使用してdata.ascファイルを開くと、それは次のようになります。

ここ

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Answer 1

は、あなたがこれまで提供した内容に基づいて、答えのいくつかの要素であり、 。 data.ascがcsv標準に準拠している場合は、パンダを使用してcsvファイルに読み書きできます。

import zipfile 
import csv 
import pandas as pd 
# I assume this code is to get the name of the zipped file 
path = '.../Download' 
file_list = [os.path.join(path, f) for f in os.listdir(path)] 
time_sorted_list = sorted(file_list, key=os.path.getmtime) 
file_name = time_sorted_list[-1] 
# decompress the zipped file here 
myzip = zipfile.ZipFile(file_name) 
myzip.extractall("destination_folder") 

# you can use the pandas library to load the data into a dataframe 
df = pd.read_table("destination_folder/data.asc", sep="\s+", header=None) 
# and then write it back to a csv 
df.to_csv('filetocsv.csv', encoding='utf-8', sep=',', index=False)