Alok Reddy K alokreddy

## index.html
<!DOCTYPE html>
<html>
	<head>
		<meta charset="utf-8">
		<title>Oklahoma state budget 2013</title>
		<style type="text/css">
			path {
				stroke: #fff;
				fill-rule: evenodd;
			}

## index.html
<!DOCTYPE html>
<meta charset="utf-8">
<style>
path { stroke: #fff;}
</style>
<body>
<h2 style='margin-left: 20%'>D3.v4 Sunburst chart with line focus on over</h2>
<div id='sunburst-chart-div'></div>
</body>
<script src="//d3js.org/d3.v4.min.js"></script>

## index.html
<!DOCTYPE html>
<meta charset="utf-8">
<style>
.bar {
  fill: #74BBFB;
}
</style>
<body>
  <div id="barChart"></div>
</body>

## index.html
<div class="crumbs">
  <!-- Crumbs dynamically appended -->
</div>

<div class="container">
  <div class="chart"></div>
</div>

## README.md

      
              4 files
            
          
              0 forks
            
          
                0 comments
              
            
              0 stars
            
          
                alokreddy
                / README.md
            
            
              Created
              November 15, 2018 10:37
                — forked from robert-moore/README.md
            
              
                A New Pattern for Updatable D3.js Charts
              
          
    Using a new updatable chart format. Update functions are made accessible to the caller, handing over chart controls
with full functionality to the caller in a modular manner. Data binding is done with method chaining, like
any other configuration variable, and can be changed after initialization. This allows for changes to be rendered
in the context of chart history, leveraging D3's transitions and update logic.

  
## HRDashboard.html
<!DOCTYPE html>
<html>
<head>
<title>HR Dashboard</title>
<meta charset="UTF-8">
<meta content='width=device-width, initial-scale=1.0, minimum-scale=1.0, maximum-scale=1.0' name='viewport'>
<link type="text/css" href="https://cdnjs.cloudflare.com/ajax/libs/dc/2.1.4/dc.min.css" rel="stylesheet"/>
<link type="text/css" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/4.0.0-alpha.6/css/bootstrap.min.css" rel="stylesheet">
<link type="text/css" href="https://cdnjs.cloudflare.com/ajax/libs/datatables/1.10.13/css/jquery.dataTables.min.css" rel="stylesheet">
<link type="text/css" src="https://cdn.datatables.net/buttons/1.2.4/css/buttons.dataTables.min.css" rel="stylesheet">

## beautiful_idiomatic_python.md

      
              1 file
            
          
              0 forks
            
          
                0 comments
              
            
              0 stars
            
          
                alokreddy
                / beautiful_idiomatic_python.md
            
            
              Created
              March 12, 2016 06:53
                — forked from JeffPaine/beautiful_idiomatic_python.md
            
              
                Transforming Code into Beautiful, Idiomatic Python: notes from Raymond Hettinger's talk at pycon US 2013. The code examples and direct quotes are all from Raymond's talk. I've reproduced them here for my own edification and the hopes that others will find them as handy as I have!
              
          
    Transforming Code into Beautiful, Idiomatic Python

Notes from Raymond Hettinger's talk at pycon US 2013 video, slides.
The code examples and direct quotes are all from Raymond's talk. I've reproduced them here for my own edification and the hopes that others will find them as handy as I have!
Looping over a range of numbers

for i in [0, 1, 2, 3, 4, 5]:

  
## rename.py
import os

"""
Renames the filenames within the same directory to be Unix friendly
(1) Changes spaces to hyphens
(2) Makes lowercase (not a Unix requirement, just looks better ;)

Usage:
python rename.py
"""

## useful_pandas_snippets.py
#List unique values in a DataFrame column
pd.unique(df.column_name.ravel())

#Convert Series datatype to numeric, getting rid of any non-numeric values
df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True)

#Grab DataFrame rows where column has certain values
valuelist = ['value1', 'value2', 'value3']
df = df[df.column.isin(value_list)]
	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="utf-8">
	<title>Oklahoma state budget 2013</title>
	<style type="text/css">
	path {
	stroke: #fff;
	fill-rule: evenodd;
	}
	<!DOCTYPE html>
	<meta charset="utf-8">
	<style>
	path { stroke: #fff;}
	</style>
	<body>
	<h2 style='margin-left: 20%'>D3.v4 Sunburst chart with line focus on over</h2>
	<div id='sunburst-chart-div'></div>
	</body>
	<script src="//d3js.org/d3.v4.min.js"></script>
	<div class="crumbs">
	<!-- Crumbs dynamically appended -->
	</div>

	<div class="container">
	<div class="chart"></div>
	</div>
	import os

	"""
	Renames the filenames within the same directory to be Unix friendly
	(1) Changes spaces to hyphens
	(2) Makes lowercase (not a Unix requirement, just looks better ;)

	Usage:
	python rename.py
	"""
	#List unique values in a DataFrame column
	pd.unique(df.column_name.ravel())

	#Convert Series datatype to numeric, getting rid of any non-numeric values
	df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True)

	#Grab DataFrame rows where column has certain values
	valuelist = ['value1', 'value2', 'value3']
	df = df[df.column.isin(value_list)]