SnowyPainter

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.datasets import load_iris

def andrews_curve(data, weights=None):
    num_variables = data.shape[1]
    t = np.linspace(0, 2*np.pi, 100)
    curve = np.zeros((len(t), 2))

SnowyPainter

import random

sn1 = ['It', 'is', 'a fundraising event', 'which', 'is held', 'on', 'a Friday', 'in March', 'every', 'other', 'year']
sn2 = ['Foodbank', 'also supports', 'food drives', 'for', 'individuals', 'who', 'want', 'to', 'share', 'their', 'food', 'with', 'the', 'poor', 'in the', 'country']
sn3 = ['When', 'I', 'called', "Foodbank's office", 'people', 'there', 'let', 'me', 'know', 'in detail', 'how', 'I', 'could', 'donate', 'food', 'to', 'the', 'hungry']
sn4 = ['These thousands', 'of', 'Santas', 'spread', 'the spirit', 'of', 'Christmas', 'to', 'Australian kids', 'who are', 'sick', 'or', 'disadvantaged']
sn5 = ['He', 'led', 'a', 'mostly', 'unremarkable', 'life', ', working', 'as', 'a', 'Paris customs service officer', 'until', 'his', 'late', 'forties']
sn6 = ['The', 'public', 'and', 'critics', 'laughed at', "Rousseau's", 'flat,', 'seemingly', 'childish', 'style', 'of', 'portraying', 'human', 'figures']
sn7 = ['In', 'this', 'way,', 'he', 'created', 'his', 'own', 'mysterious', 'jungle', 'paintings', 'where',

SnowyPainter

import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import numpy as np

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

# 첫 번째 구
u, v = np.mgrid[0:2*np.pi:20j, 0:np.pi:10j]
x = 1.5 * np.cos(u) * np.sin(v)

SnowyPainter

import random

def r():
    nums = list(range(1, 26))
    random.shuffle(nums)
    return nums

table = []
for i in range(9):
    table += r()

SnowyPainter

import requests
import urllib

#OpenAPI 금융위원회 파생상품시세정보
key = ""
#numOfRows : 1
#pageNo : 1
#beginBasDt : ex) 20230215. 2023년 2월 15일~... 현재-1 까지.
#resultType : json / xml
#serviceKey : key

SnowyPainter

import pandas as pd 

code_df = pd.read_csv('2021licode.csv')
stat_df = pd.read_csv('2021listat.csv')

code_df = code_df.drop(code_df.columns[[3,4,5]], axis=1)
code_df = code_df.iloc[3:-1]

def counted_tag(tag):
    l = [x for x in stat_df[tag].tolist() if str(x) != 'nan']

SnowyPainter

let ids = new Set(arr1.map(d => d.id));
let merged = [...arr1, ...arr2.filter(d => !ids.has(d.id))];

SnowyPainter

let sqlite3 = require('sqlite3').verbose();
let db = new sqlite3.Database('a.sqlite');

const user_table = {
    "id": "INTEGER primary key autoincrement",
    "email": "TEXT unique",
    "pw": "TEXT",
    "name": "TEXT",
    "teacher": "INTEGER"
}

SnowyPainter

i = 0
l = 0.0
syl = 0.0
v = ['a', 'e','i','o','u']
while(i < 30):
    s = input()
    for k in range(len(s)):
        if(s[k] in v):
            syl+=1
    tmp = len(s)

SnowyPainter

import string

def invert(str):
    result = list(str)
    j = len(str)-1
    for i in range(0, len(str)):
        if(str[i] in string.punctuation or str[i] == ' '):
            continue

        k = 0