Python讀書會 - 公開課程讀書會筆記 - Python模塊安裝、刪除、搜尋、更新、導入 - 如何撰寫模塊? - 如何導入自己撰寫的模塊? - 例外處理Try Except

Github連結

大家希望我可以帶他們看過莫凡Python的相關系列課程，所以讀書會這個系列主要是根據莫凡Python的公開系列課程講解和筆記，當然我也會額外找尋資料並補充給大家，也因為是根據公開課程的筆記，所以我都會明確記錄出處，如果有違反作者權力，麻煩告知，我會在第一時間立即刪除這系列的文章，感謝大家，當然也要特別感謝莫凡Python這麼厲害的公開課程，讓大家可以無痛初探Python的魔法世界!!

我是跟其他優秀的講師一起開設莫凡Python讀書會的，所以我不會每個章節都有筆記喔XD!!

1. 安裝、刪除，搜尋模塊

讀書會課程內容來源: https://www.youtube.com/watch?v=D0-8urP2b5Y&list=PLXO45tsB95cIRP5gCi8AlYwQ1uFO2aQBw&index=14

這邊我們以Pandas為例

安裝模塊

使用pip來安裝

筆記: 如果使用Python3以上的版本，已經擁有pip，而Python3以下的版本，需要另行安裝pip

• pip: 預設為使用Python2安裝
• pip3: 預設為使用Python3安裝

(base) C:\Users\user\Desktop\book_club\python_basic\module>pip3 install pandas
Collecting pandas
 Downloading pandas-1.3.3-cp37-cp37m-win_amd64.whl (10.0 MB)
  |████████████████████████████████| 10.0 MB 3.3 MB/s
Requirement already satisfied: python-dateutil>=2.7.3 in c:\users\user\anaconda3\lib\site-packages (from pandas) (2.8.1)
Requirement already satisfied: pytz>=2017.3 in c:\users\user\anaconda3\lib\site-packages (from pandas) (2019.3)
Requirement already satisfied: numpy>=1.17.3 in c:\users\user\anaconda3\lib\site-packages (from pandas) (1.18.1)
Requirement already satisfied: six>=1.5 in c:\users\user\anaconda3\lib\site-packages (from python-dateutil>=2.7.3->pandas) (1.14.0)
Installing collected packages: pandas
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
phik 0.11.2 requires scipy>=1.5.2, but you have scipy 1.4.1 which is incompatible.
Successfully installed pandas-1.3.3

預設的情況它會安裝最新的版本

我們也可以透過指定版本的方式來進行安裝，我可以從這邊看有哪些版本可以安裝:https://pandas.pydata.org/

• 我們來安裝pandas1.2.5

(base) C:\Users\user\Desktop\book_club\python_basic\module>pip3 install pandas==1.2.5
Collecting pandas==1.2.5
 Downloading pandas-1.2.5-cp37-cp37m-win_amd64.whl (9.1 MB)
  |████████████████████████████████| 9.1 MB 6.4 MB/s
Requirement already satisfied: numpy>=1.16.5 in c:\users\user\anaconda3\lib\site-packages (from pandas==1.2.5) (1.18.1)
Requirement already satisfied: pytz>=2017.3 in c:\users\user\anaconda3\lib\site-packages (from pandas==1.2.5) (2019.3)
Requirement already satisfied: python-dateutil>=2.7.3 in c:\users\user\anaconda3\lib\site-packages (from pandas==1.2.5) (2.8.1)
Requirement already satisfied: six>=1.5 in c:\users\user\anaconda3\lib\site-packages (from python-dateutil>=2.7.3->pandas==1.2.5) (1.14.0)
Installing collected packages: pandas
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
phik 0.11.2 requires scipy>=1.5.2, but you have scipy 1.4.1 which is incompatible.
Successfully installed pandas-1.2.5

結果: 就會看到成功安裝Pandas 1.2.5版本

刪除模塊

• pip3 uninstall Package Name

(base) C:\Users\user\Desktop\book_club\python_basic\module>pip3 uninstall pandas
Found existing installation: pandas 1.3.3
Uninstalling pandas-1.3.3:
 Would remove:
  c:\users\user\anaconda3\lib\site-packages\pandas-1.3.3.dist-info\*
  c:\users\user\anaconda3\lib\site-packages\pandas\*
Proceed (Y/n)? y
 Successfully uninstalled pandas-1.3.3

搜尋模塊

這邊大家可能會發現pip search Package Name已經不能用了，那我們要用什麼來搜尋模塊呢?

我這邊提供pip show Package Name的方法給大家

(base) C:\Users\user\Desktop\book_club\python_basic\module>pip3 show pandas
Name: pandas
Version: 1.3.3
Summary: Powerful data structures for data analysis, time series, and statistics
Home-page: https://pandas.pydata.org
Author: The Pandas Development Team
Author-email: [email protected]
License: BSD-3-Clause
Location: c:\users\user\anaconda3\lib\site-packages
Requires: python-dateutil, numpy, pytz
Required-by: visions, statsmodels, seaborn, phik, pandas-profiling, mlxtend

結果: 它會印出numpy的所有資訊，像是版本、License、作者等等

超好用對吧!!

更新模塊

pip3 install -U Package Name

(base) C:\Users\user\Desktop\book_club\python_basic\module>pip3 install -U pandas
Requirement already satisfied: pandas in c:\users\user\anaconda3\lib\site-packages (1.2.5)
Collecting pandas
 Using cached pandas-1.3.3-cp37-cp37m-win_amd64.whl (10.0 MB)
Requirement already satisfied: python-dateutil>=2.7.3 in c:\users\user\anaconda3\lib\site-packages (from pandas) (2.8.1)
Requirement already satisfied: numpy>=1.17.3 in c:\users\user\anaconda3\lib\site-packages (from pandas) (1.18.1)
Requirement already satisfied: pytz>=2017.3 in c:\users\user\anaconda3\lib\site-packages (from pandas) (2019.3)
Requirement already satisfied: six>=1.5 in c:\users\user\anaconda3\lib\site-packages (from python-dateutil>=2.7.3->pandas) (1.14.0)
Installing collected packages: pandas
 Attempting uninstall: pandas
  Found existing installation: pandas 1.2.5
  Uninstalling pandas-1.2.5:
   Successfully uninstalled pandas-1.2.5
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
phik 0.11.2 requires scipy>=1.5.2, but you have scipy 1.4.1 which is incompatible.
Successfully installed pandas-1.3.3

結果: 它就會將我們原本安裝的版本移除掉，然後安裝最新的模塊版本

補充: 如果把模塊刪掉了，還可以使用更新的方式下載最新的模塊嗎?

答案: 可以!!

(base) C:\Users\user\Desktop\book_club\python_basic\module>pip3 uninstall pandas
Found existing installation: pandas 1.3.3
Uninstalling pandas-1.3.3:
 Would remove:
  c:\users\user\anaconda3\lib\site-packages\pandas-1.3.3.dist-info\*
  c:\users\user\anaconda3\lib\site-packages\pandas\*
Proceed (Y/n)? y
 Successfully uninstalled pandas-1.3.3
​
(base) C:\Users\user\Desktop\book_club\python_basic\module>pip3 install -U pandas
Collecting pandas
 Using cached pandas-1.3.3-cp37-cp37m-win_amd64.whl (10.0 MB)
Requirement already satisfied: numpy>=1.17.3 in c:\users\user\anaconda3\lib\site-packages (from pandas) (1.18.1)
Requirement already satisfied: python-dateutil>=2.7.3 in c:\users\user\anaconda3\lib\site-packages (from pandas) (2.8.1)
Requirement already satisfied: pytz>=2017.3 in c:\users\user\anaconda3\lib\site-packages (from pandas) (2019.3)
Requirement already satisfied: six>=1.5 in c:\users\user\anaconda3\lib\site-packages (from python-dateutil>=2.7.3->pandas) (1.14.0)
Installing collected packages: pandas
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
phik 0.11.2 requires scipy>=1.5.2, but you have scipy 1.4.1 which is incompatible.
Successfully installed pandas-1.3.3

我先刪除Pandas，再用更新指令來更新Pandas，發現它直接幫我下載最新版本的Pandas了

2. 導入模塊

讀書會課程內容來源: https://www.youtube.com/watch?v=K5azzbPxV5M&list=PLXO45tsB95cIRP5gCi8AlYwQ1uFO2aQBw&index=25

第一種方法

導入time模塊

## 導入time模塊
import time
print(time.localtime())

執行結果

time.struct_time(tm_year=2021, tm_mon=9, tm_mday=13, tm_hour=12, tm_min=2, tm_sec=56, tm_wday=0, tm_yday=256, tm_isdst=0)

第二種方法: 縮短應用模塊的名稱

## 導入time模塊，並使用t來替換time的名稱
import time as t
print(t.localtime())

執行結果

time.struct_time(tm_year=2021, tm_mon=9, tm_mday=13, tm_hour=12, tm_min=4, tm_sec=26, tm_wday=0, tm_yday=256, tm_isdst=0)

第三種方法: 只想導入模塊中的某些屬性功能，不用全部都導入

我們這邊只想導入time裡面的time跟localtime屬性功能

## 導入time模塊，並只想導入模塊中的某些屬性功能，不用全部都導入 - time、localtime
from time import time,localtime
print(localtime()) ## time.localtime()
print(time()) ## tiem.time()

執行結果

time.struct_time(tm_year=2021, tm_mon=9, tm_mday=13, tm_hour=12, tm_min=8, tm_sec=23, tm_wday=0, tm_yday=256, tm_isdst=0)
1631506103.717853

第四種方法: 導入所有模塊中的屬性功能

導入time模塊中的所有屬性功能

## 導入time模塊，並導入所有模塊中的屬性功能
from time import *
print(localtime())
print(time())

執行結果

time.struct_time(tm_year=2021, tm_mon=9, tm_mday=13, tm_hour=12, tm_min=10, tm_sec=38, tm_wday=0, tm_yday=256, tm_isdst=0)
1631506238.8118517

3. 創建自己的模塊(腳本)，並導入應用

讀書會課程內容來源: https://www.youtube.com/watch?v=oYheNUtZpFw&list=PLXO45tsB95cIRP5gCi8AlYwQ1uFO2aQBw&index=26

撰寫一個自己的Python Script - myscript.py

def print_text(content):
  print(content)
  
def add(a, b):
  return a + b
​
def greeting(person):
  print('Welcome ', person)

在其他Python檔中導入自己剛剛創建的模塊

## 導入自己的模塊 - myscript.py
import myscript as m
## 使用myscript中的add屬性功能
print(m.add(6, 8))
## 使用myscript中的print_text屬性功能
m.print_text('Hello!!')
## 用myscript中的Agreeting功能
m.greeting('Jack')

執行結果

14
Hello!!
Welcome Jack

另一種載入自己模塊的方法

通常我們會將自己寫的模塊放在要使用它的Python檔案旁邊，一定要這樣放嗎?我們導入那麼多使用pip安裝的模塊也沒有放在旁邊啊，這時候我們可以把它放進Anaconda存放模塊的位置，這樣就一樣可以導入，而且不用放在旁邊囉

檢查在電腦中Anaconda將Python模塊放在哪裡?

這邊會有所有我在Anaconda中下載的所有Python模塊

把我們剛剛寫好的Python模塊放入，然後重新執行一次剛剛的Python

## 導入自己的模塊 - myscript.py
import myscript as m
## 使用myscript中的add屬性功能
print(m.add(6, 8))
## 使用myscript中的print_text屬性功能
m.print_text('Hello!!')
## 用myscript中的Agreeting功能
m.greeting('Jack')

執行結果

14
Hello!!
Welcome Jack

發現一樣能夠導入我們自己創建的模塊!!

4. 例外處理 Try Except

讀書會課程內容來源: https://www.youtube.com/watch?v=hpQz-0q5uGY&list=PLXO45tsB95cIRP5gCi8AlYwQ1uFO2aQBw&index=28

當錯誤發生

打開一個不存在的檔案

## 打開一個不存在的檔案
file = open('aaa.txt', 'r')

執行結果: 會報錯說沒有這個檔案

---------------------------------------------------------------------------
FileNotFoundError            Traceback (most recent call last)
<ipython-input-2-0082e98b9cac> in <module>
  1 ## 打開一個不存在的檔案
----> 2 file = open('aaa.txt', 'r')
​
FileNotFoundError: [Errno 2] No such file or directory: 'aaa.txt'

使用錯誤處理來印出錯誤資訊

## 使用錯誤處理來印出錯誤資訊
try:
  file = open('aaa.txt', 'r')
except Exception as e:
  print(e)

執行結果

[Errno 2] No such file or directory: 'aaa.txt'

那這邊因為我們知道錯誤的原因是文件根本不存在，所以為了讓使用者能夠更快了解錯誤原因，我們自己寫下錯誤原因，並在錯誤出現時印出給使用者看

## 使用錯誤處理來印出錯誤資訊
try:
  file = open('aaa.txt', 'r')
except Exception as e:
  print('Sorry We cannot find the file you set in your compuiter')

執行結果

Sorry We cannot find the file you set in your compuiter

這邊我們想設計一個方法是使用者知道自己沒有這個文件後，會詢問他是否要幫他自動創建這個文件

## 使用錯誤處理來印出錯誤資訊
file_name = 'aaa.txt'
try:
  file = open(file_name, 'r')
except Exception as e:
  print('Sorry We cannot find the file you set in your compuiter')
  r = input('Do you want to create a new file: (y/n)')
  if r == 'y':
    file = open(file_name, 'w')
    print(file_name +' has been created')
  else:
    pass

執行結果: 當我希望系統自動幫我創建

Sorry We cannot find the file you set in your compuiter
Do you want to create a new file: (y/n)y
aaa.txt has been created

當執行成功

現在的情況是當沒有錯誤發生時，我們希望執行的步驟

• 使用else

## 使用錯誤處理來印出錯誤資訊
file_name = 'aaa.txt'
try:
  file = open(file_name, 'r+')
except Exception as e:
  print('Sorry We cannot find the file you set in your compuiter')
  r = input('Do you want to create a new file: (y/n)')
  if r == 'y':
    file = open(file_name, 'w')
    print(file_name +' has been created')
  else:
    pass
else:
  file.write('Successful!!')
  print('Open Successfully')
file.close()

執行結果

Open Successfully

補充教材: https://chwang12341.medium.com/給自己的python小筆記-debug與測試好幫手-嘗試try-except與主動引發raise與assert-程式異常處理-c2bc2e3e4e13

Reference

https://www.youtube.com/watch?v=D0-8urP2b5Y&list=PLXO45tsB95cIRP5gCi8AlYwQ1uFO2aQBw&index=14

https://www.youtube.com/watch?v=K5azzbPxV5M&list=PLXO45tsB95cIRP5gCi8AlYwQ1uFO2aQBw&index=25

https://www.youtube.com/watch?v=oYheNUtZpFw&list=PLXO45tsB95cIRP5gCi8AlYwQ1uFO2aQBw&index=26

https://www.youtube.com/watch?v=hpQz-0q5uGY&list=PLXO45tsB95cIRP5gCi8AlYwQ1uFO2aQBw&index=28