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Yunaka12 / kao.py
Last active July 29, 2018 12:13
指定されたフォルダに存在する画像の顔部分を認識して切り出してグレースケールで保存する。
import cv2
import os
#顔
face_cascade_path = "haarcascade_frontalface_alt2.xml"
# カスケード分類器を作成
face_cascade = cv2.CascadeClassifier(face_cascade_path)
# 保存先フォルダを作成
if not os.path.exists("output"):
@Yunaka12
Yunaka12 / baba.py
Last active July 29, 2018 12:14
全自動ババ抜き。
import random
#カードを分配する関数
def dist(num):
player_tehuda = [[] for i in range(num)]
while len(cards) != 0:
for i in range(player_num):
if len(cards) != 0:
choice = random.choice(cards)
player_tehuda[i].append(choice)
@Yunaka12
Yunaka12 / cache.py
Last active July 29, 2018 12:15
jsonを利用した簡易的なキャッシュ。
from tinydb import TinyDB, Query
import datetime
#重い処理の例
def omoi(i):
#データベースから読み込まれていない場合
if i == 0:
for i in range(100000000):
i = i + 1
if DB_length == 0:
@Yunaka12
Yunaka12 / slater.py
Last active July 29, 2018 12:16
いくつかの原子の任意の有効核電荷をスレーターの規則に則って計算するプログラム。
densi = int(input("\n原子番号:"))
power = input("有効核電荷を求めたい電子の軌道：")
orbit_num = [2,2,6,2,6,2,10,6]
orbit_name = ["1s","2s","2p","3s","3p","4s","3d","4p"]
gensi = ["水素","ヘリウム","リチウム","ベリリウム","ホウ素","炭素","窒素","酸素","フッ素","ネオン","ナトリウム","マグネシウム","アルミニウム","ケイ素","リン","硫黄",
"塩素","アルゴン","カリウム","カルシウム","スカンジウム","チタン","バナジウム","クロム","マンガン","鉄","コバルト","ニッケル","銅","亜鉛","ガリウム","ゲルマニウム",
"ヒ素","セレン","臭素","クリプトン"]
print("\n元素名: {}".format(gensi[densi-1]))
@Yunaka12
Yunaka12 / periodic_table.py
Last active July 29, 2018 12:17
いくつかの原子の原子軌道に電子を埋めていくだけのプログラム。
densi = int(input("\n原子番号:"))
tmp = densi
gensi = ["水素","ヘリウム","リチウム","ベリリウム","ホウ素","炭素","窒素","酸素","フッ素","ネオン","ナトリウム","マグネシウム","アルミニウム","ケイ素","リン","硫黄",
"塩素","アルゴン","カリウム","カルシウム"]
orbit_num = [2,2,6,2,6,2,10]
orbit_name = ["1s","2s","2p","3s","3p","4s","3d"]
orbit=[]
@Yunaka12
Yunaka12 / RNA.py
Last active July 29, 2018 12:18
RNAを読み取って、合成されるタンパク質を求めるプログラム。
RNA = input()
aminosan_list = {
"フェニルアラニン":["UUU","UUC"],
"ロイシン":["UUA","UUG","CUU","CUC","CUA","CUG"],
"イソロイシン":["AUU","AUC","AUA"],
"メチオニン":["AUG"],
"バリン":["GUU","GUC","GUA","GUG"],
"セリン":["UCU","UCC","UCA","UCG"],
"プロリン":["CCU","CCC","CCA","CCG"],
"トレオニン":["ACU","ACC","ACA","ACG"],
@Yunaka12
Yunaka12 / Twitter_all_media_downloader.py
Last active August 16, 2018 00:02
ツイッターの任意のユーザーの画像・動画・GIFをDLする。これらのメディア投稿時のツイートもエクセルファイルに保存する。
from twython import Twython, TwythonError
import urllib.request
import re
import time
import os
import emoji
import openpyxl
#ファイル名をツイート日時（日本時間）に設定
def change_name(date):
@Yunaka12
Yunaka12 / drop.html
Last active October 30, 2018 00:44
<html>
<head>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.2.1/jquery.min.js"></script>
<style>
body{
margin: 0 auto;
width: 980px;
}
a{
@Yunaka12
Yunaka12 / variance.py
Created June 24, 2019 08:49
# coding: utf-8
# Your code here!
import numpy as np
data=np.array([[4.87,4.93,4.86,4.85],[4.86,4.90,4.85,4.86],[4.90,4.89,4.85,4.84],[4.87,4.91,4.81,4.86],[4.85,4.92,4.83,4.89]])
# data = np.array([[33,31,33],[30,29,31],[33,28,32],[29,29,32],[32,27,36]])
data_flatten = data.flatten()
data_mean = data_flatten.mean()
print("全体平均:{}".format(data_mean))
#列の平均
@Yunaka12
Yunaka12 / k_fold.py
Created August 30, 2019 08:26
各クラスの比率を保ったまま、学習データ、テストデータ、検証用データにk分割
import numpy as np
#配列をn分割
def split_data(data,split_num):
split_arr=[]
for i in range(0,len(data),split_num):
split_tmp_arr = data[i:i+split_num]
split_tmp_arr = np.array(split_tmp_arr).flatten()
split_arr.append(split_tmp_arr.tolist())
return split_arr