Edward Brennan EdMan1022

## scratch_9.py
from sklearn import decomposition
import numpy as np

pca = decomposition.PCA(n_components=2)

X = np.array([[-1, -1], [-2, -1], [-3, -2], [1, 1], [2, 1], [3, 2]])

x = pca.fit_transform(X)

## null_categorical_variables.py
import pandas as pd
import numpy as np

df = pd.DataFrame(data=[[3., 1., np.NaN], [np.NaN, 3., 2.], [4., 1., 3.]], index=[0, 1, 2],
                  columns=['apple', 'carrot', 'pear'])


def null_only_categorical_func(data):
    """
    Take a series, and return values of 1. where the series is null

## df_to_txt.py
import pandas as pd

# Pandas dataframe to txt file with comma delimiter test

df = pd.DataFrame(index = [0,1,2,3,4])

df.loc[:, 'a'] = 'a'
df.loc[:, 'b'] = 2
df.loc[:, 'c'] = '   '
df.loc[:, 'd'] = None

## Flask-blueprint-with-imported-routes
*

## scratch.jinja2
{% extends 'utilities/base.html' %}
{% block title %}{{ analysis_group.name }}{% endblock %}
{% block content %}
    <div class="row justify-content-center">
        <div class="col-8">
            <div class="card border-primary mb-3">
                <div class="card-header">
                    <h3>{{ analysis_group.name }}</h3>
                    <h4>{{ analysis_group.description }}</h4>
                </div>

## ajax_trouble_view.py
from flask import Blueprint, request

from ..helper_functions import cluster_analysis_function

analytics = Blueprint('analytics', __name__, template_folder='templates')


@analytics.route('/api/analytics/cluster_analysis', methods=['GET'])
def cluster_analysis_view():
    """

## ajax_trouble_function.py
from sqlalchemy.orm.exc import NoResultFound, MultipleResultsFound

from voxco_survey_analysis.exceptions import InvalidUsage
from ..models import Analytic


def cluster_analysis_function(request):
    """
    Perform a cluster analysis using the analysis group specified in the request

## form.json
{
  "specifications":
  {
    "age": [
      {
        "min_age": "20",
        "max_age": "25",
        "sample_size": "20"
      },
      {

## stack_overflow_question_49700822.ipynb

      
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                EdMan1022
                / stack_overflow_question_49700822.ipynb
            
            
              Created
              April 6, 2018 22:34
            
              
                Scrap for stack overflow answer
              
          
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## rrule_intersection.py
import datetime

from dateutil import rrule as rr, relativedelta as rd

start_date = datetime.datetime(year=2017, month=1, day=1)
end_date = datetime.datetime(year=2018, month=1, day=1)

# Generate rule for valid dates under simple rule (Monthly from start until end)
valid_rule = rr.rrule(freq=rr.MONTHLY, dtstart=start_date, until=end_date)
	from sklearn import decomposition
	import numpy as np

	pca = decomposition.PCA(n_components=2)

	X = np.array([[-1, -1], [-2, -1], [-3, -2], [1, 1], [2, 1], [3, 2]])

	x = pca.fit_transform(X)
	import pandas as pd
	import numpy as np

	df = pd.DataFrame(data=[[3., 1., np.NaN], [np.NaN, 3., 2.], [4., 1., 3.]], index=[0, 1, 2],
	columns=['apple', 'carrot', 'pear'])


	def null_only_categorical_func(data):
	"""
	Take a series, and return values of 1. where the series is null
	import pandas as pd

	# Pandas dataframe to txt file with comma delimiter test

	df = pd.DataFrame(index = [0,1,2,3,4])

	df.loc[:, 'a'] = 'a'
	df.loc[:, 'b'] = 2
	df.loc[:, 'c'] = ' '
	df.loc[:, 'd'] = None
	{% extends 'utilities/base.html' %}
	{% block title %}{{ analysis_group.name }}{% endblock %}
	{% block content %}
	<div class="row justify-content-center">
	<div class="col-8">
	<div class="card border-primary mb-3">
	<div class="card-header">
	<h3>{{ analysis_group.name }}</h3>
	<h4>{{ analysis_group.description }}</h4>
	</div>
	from flask import Blueprint, request

	from ..helper_functions import cluster_analysis_function

	analytics = Blueprint('analytics', __name__, template_folder='templates')


	@analytics.route('/api/analytics/cluster_analysis', methods=['GET'])
	def cluster_analysis_view():
	"""
	from sqlalchemy.orm.exc import NoResultFound, MultipleResultsFound

	from voxco_survey_analysis.exceptions import InvalidUsage
	from ..models import Analytic


	def cluster_analysis_function(request):
	"""
	Perform a cluster analysis using the analysis group specified in the request
	{
	"specifications":
	{
	"age": [
	{
	"min_age": "20",
	"max_age": "25",
	"sample_size": "20"
	},
	{
	import datetime

	from dateutil import rrule as rr, relativedelta as rd

	start_date = datetime.datetime(year=2017, month=1, day=1)
	end_date = datetime.datetime(year=2018, month=1, day=1)

	# Generate rule for valid dates under simple rule (Monthly from start until end)
	valid_rule = rr.rrule(freq=rr.MONTHLY, dtstart=start_date, until=end_date)