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year_birth,education,marital_status,income,kidhome,teenhome,dt_customer,recency,mntwines,mntfruits,mntmeatproducts,mntfishproducts,mntsweetproducts,mntgoldprods,numdealspurchases,numwebpurchases,numcatalogpurchases,numstorepurchases,numwebvisitsmonth,mspent,mnt_products | |
-0.9826452427992796,Graduation,0.251914909444513,0.2981740629401377,-0.824408654452758,-0.9304208419016567,-1.6477157245205196,0.3072174777447595,0.97851215919596,1.5441139707635037,1.775555505156627,2.463137771551334,1.5048158706393295,0.8660755696028194,0.41225374163792716,1.5047864420312593,2.684417405339313,-0.5613335176489767,0.714912254704507,1.6844150810662528,1.6844150810662528 | |
-1.2329416725689062,Graduation,0.251914909444513,-0.2642860407085032,1.0323901691019337,0.908090741696017,1.6049808060182085,-0.3838469826919725,-0.873171323884603,-0.637696936053221,-0.7354388252881704,-0.6521901129412602,-0.6363126502178857,-0.7368307708169055,-0.15731746262628182,-1.1670508268469268,-0.5928061136150217,-1.1806111403455897,-0.13291380142145673 |
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//Магический квадрат для нечетных чисел с проверкой | |
//создаем функцию для магического квадрата, аргументом который будет размер матрицы | |
function magicSquare(n) { | |
//создадим пустой массив данных, в который будем записывать числа и сохраним его в переменной `matrix` | |
let matrix = []; | |
//создадим переменную для позиции по горизонтали - `x` | |
let x = 0; | |
//создадим переменную для позиции по вертикали - `y` | |
let y = (n - 1) / 2; | |
//цикл для итерирования по строкам (для создания пустых массивов равных размеру квадрата) |
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$width = 100; //Ширина изображения | |
$height = 60; //Высота изображения | |
$font_size = 16; //Размер шрифта | |
$let_amount = 5; //Количество цифр, которые нужно набрать | |
$fon_let_amount = 30; //Количество цифр на фоне | |
$font = "fonts/cour.ttf"; //Путь к шрифту | |
//набор символов | |
$numbers = array(1,2,3,4,5,6,7,8,9,0); | |
//цвета |
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tooltip | label | x | y | |
---|---|---|---|---|
SKATING SKILLS | Use of deep edges, steps and turns | 0 | 20 | |
SKATING SKILLS | Balance, rhythmic knee action and precision of foot placement | 20 | 30 | |
SKATING SKILLS | Flow and glide | 30 | 40 | |
SKATING SKILLS | Varied use of power, speed and acceleration | 40 | 50 | |
SKATING SKILLS | Use of multi directional skating | 50 | 60 | |
SKATING SKILLS | Use of one foot skating | 15 | 25 | |
TRANSITIONS | Continuity of movements from one element to another | 20 | 30 | |
TRANSITIONS | Variety (including variety of holds in Ice Dance) | 30 | 40 | |
TRANSITIONS | Difficulty | 40 | 50 |
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place,year,mass_g,lon,lat,fell_found | |
Hoba,1920,60000000,17.91667,-19.58333,Found | |
Cape York,1818,58200000,-64.93333,76.13333,Found | |
Campo del Cielo,1576,50000000,-60.58333,-27.46667,Found | |
Canyon Diablo,1891,30000000,-111.03333,35.05,Found | |
Armanty,1898,28000000,88,47,Found | |
Gibeon,1836,26000000,18,-25.5,Found | |
Chupaderos,1852,24300000,-105.1,27,Found | |
Mundrabilla,1911,24000000,127.55,-30.78333,Found | |
Sikhote-Alin,1947,23000000,134.65333,46.16,Fell |
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#I have issue with wrong reflection data in hovers in the code below. See code with comments for each block. | |
import plotly.express as px | |
import pandas as pd | |
import plotly.graph_objects as go | |
rows=[['501-600','15','122.58333','45.36667','Name1'], | |
['till 500','4','12.5','27.5','Name2'], | |
['more 601','41','-115.53333','38.08','Name3'], | |
['till 500', '26', '65.5', '29.5','Name4'], |
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#In the code below I tried to use customdata to make hovertemplate, but in this case on visualization it shows only data from the first row everywhere. I believe there should be function, but don't know how to implement it. | |
import plotly.express as px | |
import plotly.graph_objs as go | |
import pandas as pd | |
rows=[['501-600','15','122.58333','45.36667','slategray'], | |
['till 500','4','12.5','27.5','teal'], | |
['more 1001','41','-115.53333','38.08','whitesmoke'], | |
] |
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import plotly.graph_objs as go | |
import pandas as pd | |
rows=[['501-600','15','122.58333','45.36667'], | |
['till 500','4','12.5','27.5'], | |
['more 1001','41','-115.53333','38.08'], | |
] | |
colmns=['bins','data','longitude','latitude'] | |
df=pd.DataFrame(data=rows, columns=colmns) |
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#In the code below I have marker labels on the map itself. | |
# I put this piece of code: | |
# float(d) + 5 for d in df["longitude"]], | |
# lat=[float(d) + 0 for d in df["latitude"]] | |
# to make these labels close to the markers. But in case of resizing of map these labels looks weird. | |
# I believe that it is possible to put into condition of labels position not only absolute values | |
# as it is now, but some sort of dependency between labels coordinates and values in data. | |
import plotly.express as px | |
import plotly.graph_objs as go |
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#Now this part of code gives me figures for each cells on each map region, even on these which has no data at all. How to show it only for regions which has values in initial table? | |
import matplotlib as mpl | |
import matplotlib.pyplot as plt | |
import geopandas as gpd | |
import pandas as pd | |
... | |
variable = 'price' |
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