P01-Practice

Q1. Counting fruits

現有一堆水果，假設有6個，請計算每種水果各出現幾次。假設水果為['apple', 'banana', 'cherry', 'apple', 'banana', 'apple']。這個練習主要是為了讓你熟悉程式碼的撰寫，來增加手感，所以請務必自己打打看。

# Create a list of fruits

# Create a fruit_dict dictionary to count the number of fruits

# Using a for loop, count the number of each fruit in the list

# Print the fruit_dict dictionary

Q2. NTU’s GPA Grading

參考「成績百分制轉等第制」的程式碼（如下），再參考台大百分制轉等第的規定，寫出完整且合乎規定的百分制的轉換if-else邏輯判斷式。

# Initializing level frequency
grade_dict = {'F':0, "C":0, "B":0, "A":0}

# Counting level frequency
for g in grades:
    if 100 >= g >= 80:
        grade_dict["A"] += 1
    elif 79 >= g >= 72:
        grade_dict["B"] += 1
    elif 71 >= g >= 60:
        grade_dict["C"] += 1
    else:
        grade_dict["F"] += 1
print(grade_dict)

grades = [45, 55, 100, 90, 89, 79, 38, 61, 71, 91, 85, 75, 65, 44, 66, 77, 88]
# Your code should be here

用for-loop列印出每個等第個有多少人？

# Your code should be here

Q3. Sorting keyword frequency

仿照教學範例中最後一節的排序函式，將Wikipedia詞頻計算結果由大而小排序，並用for-loop將排序結果印出來。觀察一下，詞頻高的字詞有哪些呢？一共有三種寫法，請三種寫法都寫寫看。

import wikipedia    # import a 3rd-party library into runtime
string_a  = wikipedia.summary("Big_data", sentences = 10)   # get data by 3rd-party function

import string
translator = str.maketrans('','',string.punctuation)
string_a = string_a.translate(translator)
string_a = string_a.lower()

from collections import Counter
words = string_a.split()
word_freq = Counter(words)

# Method 1: sorting tuples 

# Method 2: sort by dict.get()

# Method 3: sort by Counter's most_common() function

Q4. Plotting

上述Counter()的計算結果，我希望把他繪製成橫向的長條圖，且需要排序過資料，讓最多的項目在最上面。請問要怎麼做？（問ChatGPT看看會得到什麼答案？）

# your code should be here

Visualized by seaborn or plotly?: 還有沒有其他種視覺化方法

# Your code should be here

Q5. (Option) Frequency of typing

我想知道，讓一個人隨機打字的時候，除了按到標點符號外，他最常打的26個英文字母為何，我該如何寫程式來測試？問問看ChatGPT。

# your code should be here