Nancy Chelaru nchelaru

## admonition_box.html
<html>
<head>
<meta name="viewport" content="width=device-width, initial-scale=1">
<style>
div {
  margin-bottom: 15px;
  padding: 4px 12px;
}

.info {

## RStudio_SQLite.r
## Import library
library(RSQLite)


## Connect to an existing database
Customers <- dbConnect(SQLite(), dbname = 'Customers.sqlite')


## Create and connect to a "virtual" in-memory database
Food <- dbConnect(SQLite())

## django_plotly_dash set-up

# In `settings.py`:
```python
INSTALLED_APPS = [
    ...
    'django_plotly_dash.apps.DjangoPlotlyDashConfig',
    ...
    ]
```

## dpd-template
{% load plotly_dash %}

{% plotly_app name="SimpleExample" %}

## modified_sections_settings
```python
INSTALLED_APPS = [
    'django.contrib.admin',
    'django.contrib.auth',
    'django.contrib.contenttypes',
    'django.contrib.sessions',
    'django.contrib.messages',
    'django.contrib.staticfiles',
    'grocery.apps.GroceryConfig',
    'django_plotly_dash.apps.DjangoPlotlyDashConfig',

## plot_dash_simple_callback.py
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output

import pandas as pd
import plotly.graph_objs as go

df = pd.read_csv(
    'https://raw.githubusercontent.com/plotly/'

## example_dpd_views.py
from django.shortcuts import render

import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output

import pandas as pd
import plotly.graph_objs as go

## add_datepart.py
def add_datepart(df, fldname, drop=True, time=False):
    "Helper function that adds columns relevant to a date."
    fld = df[fldname]
    fld_dtype = fld.dtype
    if isinstance(fld_dtype, pd.core.dtypes.dtypes.DatetimeTZDtype):
        fld_dtype = np.datetime64

    if not np.issubdtype(fld_dtype, np.datetime64):
        df[fldname] = fld = pd.to_datetime(fld, infer_datetime_format=True)
    targ_pre = re.sub('[Dd]ate$', '', fldname)

## feather.py
df.to_feather('filename')

df = pd.read_feather('path/to/feather_file')

## SQLite_Rstudio.r
##Import library
library(RSQLite)

##Connect to an existing database
Customers <- dbConnect(SQLite(), dbname = 'Customers.sqlite')

##Create and connect to a "virtual" in-memory database
Food <- dbConnect(SQLite())

## List all the tables currently in the database
	<html>
	<head>
	<meta name="viewport" content="width=device-width, initial-scale=1">
	<style>
	div {
	margin-bottom: 15px;
	padding: 4px 12px;
	}

	.info {
	## Import library
	library(RSQLite)


	## Connect to an existing database
	Customers <- dbConnect(SQLite(), dbname = 'Customers.sqlite')


	## Create and connect to a "virtual" in-memory database
	Food <- dbConnect(SQLite())

	# In `settings.py`:
	```python
	INSTALLED_APPS = [
	...
	'django_plotly_dash.apps.DjangoPlotlyDashConfig',
	...
	]
	```
	```python
	INSTALLED_APPS = [
	'django.contrib.admin',
	'django.contrib.auth',
	'django.contrib.contenttypes',
	'django.contrib.sessions',
	'django.contrib.messages',
	'django.contrib.staticfiles',
	'grocery.apps.GroceryConfig',
	'django_plotly_dash.apps.DjangoPlotlyDashConfig',
	import dash
	import dash_core_components as dcc
	import dash_html_components as html
	from dash.dependencies import Input, Output

	import pandas as pd
	import plotly.graph_objs as go

	df = pd.read_csv(
	'https://raw.githubusercontent.com/plotly/'
	from django.shortcuts import render

	import dash
	import dash_core_components as dcc
	import dash_html_components as html
	from dash.dependencies import Input, Output

	import pandas as pd
	import plotly.graph_objs as go
	def add_datepart(df, fldname, drop=True, time=False):
	"Helper function that adds columns relevant to a date."
	fld = df[fldname]
	fld_dtype = fld.dtype
	if isinstance(fld_dtype, pd.core.dtypes.dtypes.DatetimeTZDtype):
	fld_dtype = np.datetime64

	if not np.issubdtype(fld_dtype, np.datetime64):
	df[fldname] = fld = pd.to_datetime(fld, infer_datetime_format=True)
	targ_pre = re.sub('[Dd]ate$', '', fldname)
	df.to_feather('filename')

	df = pd.read_feather('path/to/feather_file')
	##Import library
	library(RSQLite)

	##Connect to an existing database
	Customers <- dbConnect(SQLite(), dbname = 'Customers.sqlite')

	##Create and connect to a "virtual" in-memory database
	Food <- dbConnect(SQLite())

	## List all the tables currently in the database