Pythonのチートシート（基礎構文、Pandasなど）

コード

print("Hello World")

コード

name = "Mike"
print(name)

コード

name = input("What is your name?")
print("Hello" + name)

コード

num_char = len(input("What is your name?"))
new_num_char = str(num_char)
print("あなたの名前の文字数は" + new_num_char + "文字です。")

コード

height = input()
weight = input()
weight_as_int = int(weight)
heigh_as_float = float(height)
bmi = weight_as_int / height_as_float ** 2
bmi = weight_as_int / (height_as_float * height_as_float)
bmi_as_int = int(bmi)
print(bmi_as_int)

コード

height = 177
print(f"あなたの身長は{height}cmです")

コード

age = int(input("あなたの年齢は何歳ですか？"))
if age >= 20:
    print("お酒を購入できます。")
else:
    print("未成年ですのでお酒を購入できません。")

コード

import random
random_score = random.randint(1,100)
print(f"あなたのスコアは{random_score}です")

コード

programing_language = ["Python", "Ruby", "JavaScript", "Go", "PHP", "Java"]
print(programing_language)

コード

student_score = {
    "Taro": "86",
    "Mike": "86",
    "Jenny": "90",
    "Sho": "92",
}
mike_score = student_score["Mike"]
print(mike_score)

コード

fruits = ["Apple","Peach","Banana"]
for fruit in fruits:
    print(fruit)

コード

def my_function(name):
    print(f"Hello {name}")

my_function("John")

コード

def format_name(f_name, l_name):
    if f_name == "" or l_name == "":
        return "You didn't provide valid inputs."
    formated_f_name = f_name.title()
    formated_l_name = l_name.title()
    return f"Result: {formated_f_name} {formated_l_name}"
formatted_name = format_name(input("Your first name: "), input("Your last name: "))
print(formatted_name)

another_module.py

another_variable = 12

main.py

import another_module
print(another_module.another_variable)

コード

class User:
    def __init__(self, user_id, username):
        self.id = user_id
        self.username = username
        self.followers = 0
        self.following = 0
    def follow(self, user):
        user.followers += 1
        self.following += 1

user_1 = User("001", "Taro")
user_2 = User("002", "Hanako")

user_1.follow(user_2)

print(user_1.id)
print(user_1.username)
print(user_1.followers)
print(user_1.following)

print(user_2.id)
print(user_2.username)
print(user_2.followers)
print(user_2.following)

data.py

question_data = [{"category": "Science: Computers",
"type": "boolean",
"difficulty": "medium",
"question": "The HTML5 standard was published in 2014.",
"correct_answer": "True",
"incorrect_answers": ["False"]},
{"category": "Science: Computers",
"type": "boolean",
"difficulty": "medium",
"question": "The first computer bug was formed by faulty wires.",
"correct_answer": "False",
"incorrect_answers": ["True"]
},
{"category": "Science: Computers",
"type": "boolean",
"difficulty": "medium",
"question": "FLAC stands for 'Free Lossless Audio Condenser'.",
"correct_answer": "False",
"incorrect_answers": ["True"]},
{"category": "Science: Computers",
"type": "boolean",
"difficulty": "medium",
"question": "All program codes have to be compiled into an executable file in order to be run. This file can then be executed on any machine.",
"correct_answer": "False",
"incorrect_answers": ["True"]},
{"category": "Science: Computers",
"type": "boolean",
"difficulty": "easy",
"question": "Linus Torvalds created Linux and Git.",
"correct_answer": "True",
"incorrect_answers": ["False"]},
{"category": "Science: Computers",
"type": "boolean",
"difficulty": "hard",
"question": "The IBM PC used an Intel 8008 microprocessor clocked at 4.77 MHz and 8 kilobytes of memory.",
"correct_answer": "False",
"incorrect_answers": ["True"]}
]

main.py

from question_model import Question
from data import question_data
from quiz_brain import QuizBrain

question_bank = []
for question in question_data:
    question_text = question["question"]
    question_answer = question["correct_answer"]
    new_question = Question(question_text, question_answer)
    question_bank.append(new_question)

quiz = QuizBrain(question_bank)

while quiz.still_has_questions():
    quiz.next_question()

print("You've completed the quiz")
print(f"Your final score was: {quiz.score}/{quiz.question_number}")

question_model.py

class Question:
    def __init__(self, q_text, q_answer):
        self.text = q_text
        self.answer = q_answer

quiz_brain.py

class QuizBrain:
    def __init__(self, q_list):
        self.question_number = 0
        self.score = 0
        self.question_list = q_list
    def still_has_questions(self):
        return self.question_number < len(self.question_list)
    def next_question(self):
        current_question = self.question_list[self.question_number]
        self.question_number += 1
        user_answer = input(f"Q.{self.question_number}: {current_question.text} (True/False): ")
        self.check_answer(user_answer, current_question.answer)
    def check_answer(self, user_answer, correct_answer):
        if user_answer.lower() == correct_answer.lower():
            self.score += 1
            print("You got it right!")
        else:
            print("That's wrong.")
        print(f"The correct answer was: {correct_answer}.")
        print(f"Your current score is: {self.score}/{self.question_number}")
        print("\n")

コード

import numpy as np
import pandas as pd

コード

file = "○○○○/○○○○○○○.csv"
df = pd.read_csv(file)

コード

dir = "../data"
input_dir = f"{dir}/input"
output_dir = f"{dir}/output"
customer_file = f"{input_dir}/customer_master.csv"
product_file = f"{input_dir}/product_master.csv"
transaction_file = f"{input_dir}/transaction.csv"
output_file = f"{output_dir}/transaction_processed.csv"
df_customer = pd.read_csv(customer_file)
df_product = pd.read_csv(product_file)
df_transaction = pd.read_csv(transaction_file)

コード

#データの内容を2行分だけ見る
df.head(2)
#行数とカラム数を確認
df.shape
#各カラムを確認
df.columns
#各カラムとその中に入っている情報（値の数やデータタイプなど）を確認
df.info()

コード

#行の値を確認
df['sales']
#行の最大値を確認
df.max()
#行の最小値を確認
df.min()
#行の各値を確認
df.unique()
#行の各値が何種類あるか確認
df.nunique()

コード

df.drop(["quantity"],axis=1,inplace=True)

コード

df.isnull().sum()

コード

df.loc[df['顧客ID'].isnull()]

コード

df.dropna(subset=['商品ID'],inplace=True)

コード

df_order.isnull().sum()

コード

df.duplicated(subset=['オーダーID']).sum()

コード

df.loc[df.duplicated(subset=['オーダーID'],keep=False)].sort_values(['オーダーID'])

コード

df.dropna(subset=['商品ID'],inplace=True)

コード

df.duplicated(subset = ['オーダーID']).sum()