View circulo.R
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library('ggplot2') | |
f_circulo <- function() | |
{ | |
# Generar 500 puntos de 0pi radianes a 2pi radianes, | |
# lo cuales equivalen a 0 y 360 grados respectivamente. | |
t <- seq( from = 0, to = 2 * pi, length.out = 1000 ) | |
# Generar un circulo con ecuaciones parametricas |
View dardosTrend.R
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library('ggplot2') | |
f_lanzar <- function( p_dardos ) | |
{ | |
# Radio = 1. | |
r <- 1 | |
# Generar n puntos (x,y) por medio de una distribucion uniforme. | |
x <- runif( min = -1, max = 1, n = p_dardos ) |
View dardos.R
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library('ggplot2') | |
f_lanzar <- function( p_dardos ) | |
{ | |
# Radio = 1. | |
r <- 1 | |
# Generar n puntos (x,y) por medio de una distribucion uniforme. | |
x <- runif( min = -1, max = 1, n = p_dardos ) |
View auxiliaryPlot.R
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library('ggplot2') | |
# Dataset column names and classes | |
l_colnames = c( 'game_no','stadium', 'team', 'x_cord', 'y_cord', 'desc' ) | |
l_colClasses = c( 'numeric', 'character', 'character', 'numeric', 'numeric', 'character' ) | |
# Load the dataset | |
hip_data <- read.csv( file = 'hitsPerGame.csv' | |
, header = F | |
, col.names = l_colnames |
View createPlot.R
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library('ggplot2') | |
# Dataset column names and classes. | |
l_colnames = c( 'game_no','stadium', 'team', 'x_cord', 'y_cord', 'desc' ) | |
l_colClasses = c( 'numeric', 'character', 'character', 'numeric', 'numeric', 'character' ) | |
# Load the dataset. | |
hip_data <- read.csv( file = 'hitsPerGame.csv' | |
, header = F | |
, col.names = l_colnames |
View scrapMLBAM.py
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from lxml import etree | |
import glob | |
import csv | |
# Input Files. | |
hipFiles = glob.glob('*hip.xml') | |
gameFiles = glob.glob('*data.xml') | |
# Output File. | |
csvFile = open('hitsPerGame.csv', 'wb') |
View QueueListasEnlazadas4.py
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def desencolar( self ): | |
if self.cabeza: | |
self.cabeza = self.cabeza.obtenerSig() | |
self.tamanio -= 1 |
View QueueListasEnlazadas3.py
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def encolar( self, dato ): | |
nuevoNodo = Nodo( dato ) | |
if not self.cabeza: | |
nuevoNodo.asignarSig( None ) | |
self.cabeza = nuevoNodo | |
else: | |
self.cola.asignarSig( nuevoNodo ) | |
self.cola = nuevoNodo |
View QueueListasEnlazadas2.py
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def __init__( self ): | |
self.cabeza = None | |
self.cola = None | |
self.tamanio = 0 |
View QueueListasEnlazadas1.py
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class Nodo: | |
def __init__( self, dato ): | |
self.dato = dato | |
self.sig = None | |
#def asignarDato( self, dato ): | |
# self.dato = dato | |
def asignarSig( self, sig ): |
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