dsibi

## cpa.csv
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

## magicSquare.js
//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)

## CAPTCHA.php
$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

## labels_pos.csv

          
            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

## data.csv
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

## Data in hovers
#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'],

## Markers color
#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'],
      ]

## Hover.py
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)

## scratch_M_CalcLabels.py
#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

## NaN labels for region.py
#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'
	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
	//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)
	$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
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
	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
	#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'],
	#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'],
	]
	#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
	#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'