Python TQC考題: 輸入一個正整數n,並讀取read.txt內容,將首n列的每個英文字首字大寫輸出write.txt ; pandas.Series.str.title() #輸出csv或xlsx時,如何不輸出index 跟 header ? .to_csv( “write.txt”, index=False, header=False)

TQC考題:

範例輸入/輸出:

read.txt內容:

hello world!
what is the weather like out there?
are you ok?
what’s today’s date?
excuse me!
happy new year
are you tired?
what is your name?
it’s a nice day!
make persistent efforts
you can make it!

使用pandas套件:

# -*- coding: utf-8 -*-
"""
Created on Sat Nov 18 08:02:37 2023

@author: SavingKing
"""
import os
import pandas as pd

n = eval( input("請輸入您想要轉換的列數:\t") )

df = pd.read_csv("read.txt",header=None)
ser = df.squeeze()
ser_title = ser.str.title()

ser_title_slice = ser_title[0:n]
print("ser_title_slice:\n",ser_title_slice)
ser_title_slice.to_csv("write.txt",index=False,header=False)

輸出結果:

TQC在這裡考一個陷阱
.title() 會把today‘s轉為Today‘S
要用.replace() 修正
本篇code皆缺少這一步驟

不使用套件
code:

# -*- coding: utf-8 -*-
"""
Created on Sat Nov 18 08:02:37 2023

@author: SavingKing
"""
import os
n = eval( input("請輸入您想要轉換的列數:\t") )
with open("read.txt", 'r') as f:
    lis = f.readlines()
    print(  "readlines():\n",lis )
#cnt=1
with open("write.txt", 'w') as f:
    for idx,ele in enumerate(lis,1):
        if idx <= n:
            line = ele.title()
            f.write(line)
            #idx+=1 #不需要,idx本來就會隨著enumerate+1
        else: break
dirname = os.path.dirname(__file__)
ex_path = os.path.join(dirname,"write.txt")
print("檔案已經輸出到:\n",ex_path)

輸出結果:

不使用套件
code:

# -*- coding: utf-8 -*-
"""
Created on Sat Nov 18 08:02:37 2023

@author: SavingKing
"""

n = eval( input("請輸入您想要轉換的列數:\t") )
f = open("read.txt", 'r')
w = open("write.txt", 'w')

count=1
for i in f:
    if count <= n:
        print(f"{i.title()}", end="")
        w.write(i.title())
        count += 1
        
    else:
        break
w.close()
f.close()

輸出結果:

TQC在這裡考一個陷阱
.title() 會把today‘s轉為Today‘S
要用.replace() 修正
code:

# -*- coding: utf-8 -*-
"""
Created on Sat Nov 18 08:02:37 2023

@author: SavingKing
"""
import os
import pandas as pd

n = eval( input("請輸入您想要轉換的列數:\t") )

df = pd.read_csv("read.txt",header=None)
ser = df.squeeze()
# ser_title = ser.str.title().replace(r"\b'S\b", "'s", regex=True)
##使用正則表示法也可
ser_title = ser.str.title()
ser_title = ser_title.str.replace("'S", "'s")
ser_title_slice = ser_title[0:n]
print("ser_title_slice:\n",ser_title_slice)
ser_title_slice.to_csv("write.txt",index=False,header=False)