Hongtao Hao hongtaoh

## tableau_10.scss
// Tableau 10 color theme
$themes: (
  blue: #5778a4,
  orange: #e49444,
  red: #d1615d,
  teal: #85b6b2,
  green: #6a9f58,
  yellow: #e7ca60,
  purple: #a87c9f,
  pink: #f1a2a9,

## logistic_regression.py
import matplotlib.colors as colors
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd


class LogisticRegression:
    kern_param = 0
    X = np.array([])
    a = np.array([])

## .block
license: gpl-3.0

## basic_plot.py
import sys
import numpy as np
import networkx as nx
import matplotlib.pyplot as plt

def plot(data,filename,degreetype):
    """ Plot Distribution """
    plt.plot(range(len(data)),data,'bo')
    plt.yscale('log')
    plt.xscale('log')

## iris.csv

          
            sepal.length
            sepal.width
            petal.length
            petal.width
            variety

            
              5.1
              3.5
              1.4
              .2
              Setosa

            
              4.9
              3
              1.4
              .2
              Setosa

            
              4.7
              3.2
              1.3
              .2
              Setosa

            
              4.6
              3.1
              1.5
              .2
              Setosa

            
              5
              3.6
              1.4
              .2
              Setosa

            
              5.4
              3.9
              1.7
              .4
              Setosa

            
              4.6
              3.4
              1.4
              .3
              Setosa

            
              5
              3.4
              1.5
              .2
              Setosa

            
              4.4
              2.9
              1.4
              .2
              Setosa

## Plot_Examples.md

      
              1 file
            
          
              48 forks
            
          
              42 comments
            
          
              259 stars
            
          
                gizmaa
                / Plot_Examples.md
            
            
              Last active
              June 10, 2024 02:44
            
              
                Various Julia plotting examples using PyPlot
              
          
    Plotting

Last Update: May 13, 2019

Offline Version
Contents


	Translating
	Important Note
	Basic Plot

  
## README.md

      
              4 files
            
          
              2 forks
            
          
              1 comment
            
          
              7 stars
            
          
                jfreels
                / README.md
            
            
              Last active
              March 14, 2023 23:04
            
              
                d3js: Create an HTML table using d3.js
              
          
    d3js: Create an HTML table using d3.js

  
## github.css
body {
  font-family: Helvetica, arial, sans-serif;
  font-size: 14px;
  line-height: 1.6;
  padding-top: 10px;
  padding-bottom: 10px;
  background-color: white;
  padding: 30px; }

body > *:first-child {

## us_state_abbrev.py
# United States of America Python Dictionary to translate States,
# Districts & Territories to Two-Letter codes and vice versa.
#
# Canonical URL: https://gist.github.com/rogerallen/1583593
#
# Dedicated to the public domain.  To the extent possible under law,
# Roger Allen has waived all copyright and related or neighboring
# rights to this code.  Data originally from Wikipedia at the url:
# https://en.wikipedia.org/wiki/ISO_3166-2:US
#
	// Tableau 10 color theme
	$themes: (
	blue: #5778a4,
	orange: #e49444,
	red: #d1615d,
	teal: #85b6b2,
	green: #6a9f58,
	yellow: #e7ca60,
	purple: #a87c9f,
	pink: #f1a2a9,
	import matplotlib.colors as colors
	import matplotlib.pyplot as plt
	import numpy as np
	import pandas as pd


	class LogisticRegression:
	kern_param = 0
	X = np.array([])
	a = np.array([])
	import sys
	import numpy as np
	import networkx as nx
	import matplotlib.pyplot as plt

	def plot(data,filename,degreetype):
	""" Plot Distribution """
	plt.plot(range(len(data)),data,'bo')
	plt.yscale('log')
	plt.xscale('log')
sepal.length	sepal.width	petal.length	petal.width	variety
5.1	3.5	1.4	.2	Setosa
4.9	3	1.4	.2	Setosa
4.7	3.2	1.3	.2	Setosa
4.6	3.1	1.5	.2	Setosa
5	3.6	1.4	.2	Setosa
5.4	3.9	1.7	.4	Setosa
4.6	3.4	1.4	.3	Setosa
5	3.4	1.5	.2	Setosa
4.4	2.9	1.4	.2	Setosa
	body {
	font-family: Helvetica, arial, sans-serif;
	font-size: 14px;
	line-height: 1.6;
	padding-top: 10px;
	padding-bottom: 10px;
	background-color: white;
	padding: 30px; }

	body > *:first-child {
	# United States of America Python Dictionary to translate States,
	# Districts & Territories to Two-Letter codes and vice versa.
	#
	# Canonical URL: https://gist.github.com/rogerallen/1583593
	#
	# Dedicated to the public domain. To the extent possible under law,
	# Roger Allen has waived all copyright and related or neighboring
	# rights to this code. Data originally from Wikipedia at the url:
	# https://en.wikipedia.org/wiki/ISO_3166-2:US
	#