vaxxy allen

1601466284

Prestashop One Page Checkout Addon | One Step Checkout Extension | Knowband

The checkout page is considered as one of the most important pages in an eCommerce store as this is the last step where it is decided that the money will come to you or not. Knowband offers PrestaShop One Page Checkout addon which replaces your website’s default checkout with a clean and fast One Page Checkout.
This is image title

The addon simplifies the checkout process for your customers so that they can complete it easily and quickly. The addon removes the unnecessary steps from the checkout process and makes it convenient. With advanced features like Social login and Guest checkout, the addon saves the customers from creating a separate account to place the order from the checkout page.

Advantages of the Prestashop One Page Checkout:

  1. Simplifies Checkout Process: The module summarizes the whole checkout process on a single page and makes it convenient for the customers to fill the details.
  2. Saves Customers’ Time: With the Knowband’s Prestashop Fast Checkout addon, the buyers don’t need to fill too many fields and load multiple pages to place the order. They can easily and quickly fill the details and complete their purchase in no time.
  3. No More Abandoned Carts: It requires a lot of work to get the customers to the checkout page and it feels frustrated if he leaves the website from the checkout page without completing the order due to rigid and time-consuming checkouts. The PrestaShop Quick Checkout addon removes this hurdle by making the checkout page clean and simple and helps the customers to complete their orders in no time.
  4. Improves Conversion Rate: The Knowband’s PrestaShop One Step Checkout Addon enhances the checkout experience of your customers and helps in maximizing the conversion rate of your online business.
  5. Mobile Responsive: The addon offers a mobile responsive checkout layout which allows the customers to place the order using their mobile devices also.
    Key Features of the PrestaShop One Page Supercheckout:
  6. Easy to Install and Configure: The module is super easy to install and integrate into your website without any coding efforts.
  7. Guest Checkout: The Knowband’s Prestashop Fast Checkout addon offers guest checkout functionality which allows the customers to place their orders without creating a new separate account.
  8. Social Login options: With the Prestashop One Page Checkout module, your customers can also with Google and Facebook accounts from the checkout page.
  9. Customizable Fields: The fields on the checkout fields are completely customizable from the back-end of the module. The store admin can show/hide or make steps optional or mandatory to fill. The admin can also re-arrange the checkout fields by dragging and dropping.
  10. Multiple Checkout Layouts: The Knowband’s Prestashop One Page Checkout addon offers 3 different checkout page layouts to choose from. The admin can select a 1-column, 2-column, or 3-column layout from the back office of the module.
  11. MailChimp, SendinBlue, and Klaviyo Integration: The addon offers integration with popular email service providers like MailChimp, Klaviyo, and SendinBlue by which the collected users’ database is automatically synced to these accounts.
  12. Test Mode: The Prestashop Single Page Checkout addon offers a Test mode functionality that allows you to check and test the customizations done to the One Page Checkout before making it live on the website.
  13. GDPR Compatibility: The addon is GDPR compatible.

For more details about the addon, click on the below links:
PrestaShop One Page Checkout addon

PrestaShop One Page Checkout User Manual
Admin Demo
Front Demo

What is GEEK

Buddha Community

Prestashop One Page Checkout Addon | One Step Checkout Extension | Knowband

Scott M

1621520113

Increase Sales and Reduce Bounce rate with Top Prestashop addons

The very basic intention of any business is to grow, increase sales and revenue. When you talk about an eCommerce business, apart from increasing sales, another truth that marketers have to face is bounce rate. The bounce rate of a store means when customers exit the store without converting.

First, let’s assume you have a PrestaShop website. PrestaShop is extremely rich in features, a free, open-source online business arrangement that you can use to run stores. It’s presently used by 700,000 websites worldwide. In addition, it takes a touch of work to get a store launched with what the platform offers. PrestaShop’s business model lays on offering services for business accomplices to its customer base, including addon highlights and themes.

In this blog, we’ll be focusing on PrestaShop addons offered by Knowband at the Prestashop Addons Store. Knowband ranks among the tops sellers at the Store and has earned the Superhero seller ranking. It is also a Premium Partner agency with the Gold Agency status.
This is image title

Here, we’ll talk about the PrestaShop addons by Knowband that can help you increase sales of your store. In addition, these modules also are beneficial for reducing the bounce rate of your store.

1.Prestashop Back in Stock Notification module

Let’s start small! The Prestashop back in stock notification Module by Knowband is a stunning option for your eCommerce store. With this Prestashop stock alert module, the admin (you) can easily notify your customers about the products coming back in stock. In fact, he/she can also send them about the low stock alert for the products they have subscribed to. On the other hand, the customers can easily view and edit the subscribed product list. They can delete the products they don’t like.

2.Prestashop Abandoned cart Addon

The Prestashop Abandoned Cart Module comes in really handy when customers leave your store without purchasing what they left in their cart. The admin can decide whether the customers should get a discount/offer to come back and complete the purchase or not. The module allows the admin to send reminders to the shoppers via emails, push notifications, and popups. In addition, he/she can also track the abandoned cart and converted carts in the back-end of the Prestashop abandoned cart email follow up addon.

3.Prestashop One Page Checkout Extension

One of the superstars’ modules by Knowband has to be the Prestashop One Page Supercheckout. We all know how irritating it can be for customers to spend a lot of time on the checkout page. After the tiresome experience of searching the appropriate, they don’t want to stay up and fill an extensive checkout page. Hence, every marketer needs to ask them to fill only the essential blocks of information. The single page checkout module is customizable. The admin chooses from the different layouts, prioritizes the checkout fields and so a lot more.

4.Prestashop Mobile App Builder

Talking about higher conversions and sales with a reduced bounce rate, you cannot miss out on the Prestashop Mobile App Builder module. Knowband offers the Prestashop eCommerce mobile app that allows the admin to develop a functional mobile app. Not only with an app can the admin reach a wider audience, but he/she can also build more sales. With a native shopping app, the customers can have access to the store and its content anytime and anywhere. The module helps you build the app in simple steps. Even a layperson can configure the module effortlessly.

5.Prestashop Etsy Marketplace Integration module

The Prestashop Etsy Marketplace Integration module provides an interface where the admin can list products in bulk, manage the different profiles created, and a lot more. If you want to generate more sales, you can start selling on the marketplace that is popular for artsy items and more. Using the Etsy Prestashop Connector, you don’t have to list your products separately on the marketplace. You can simply do that from the back-end of the module. Not only this, but you can change the pricing, track the sales report, manage the inventory and do much more.

6.Prestashop Multi-Vendor Marketplace Addon

The Prestashop Multi-Seller Marketplace module is converting your eCommerce store into a marketplace like Etsy. With the Prestashop marketplace Addon, you can convert your store with ease. In addition, you can generate more sales by accepting sellers to sell on your platform, set a global percentage of commission from them, track seller transactions and do more. On the other hand, the sellers can make payout requests, track earnings, add multiple categories of products, and much more.
Conclusion

Every single of these Prestashop addons by Knowband is meant to help you increase sales. Whether it is by providing a smooth checkout or by notifying them about the product that was of their interest or even going mobile, you are in a win-win situation. What do you think? Do check out the product pages for more information. In case you have any queries, you can contact the Support Team.

#prestashop mobile app builder #prestashop back in stock notification addon #prestashop one page checkout #prestashop etsy integration addon #prestashop abandoned cart module #prestashop marketplace addon

John  Smith

John Smith

1657107416

Find the Best Restaurant Mobile App Development Company in Abu Dhbai

The era of mobile app development has completely changed the scenario for businesses in regions like Abu Dhabi. Restaurants and food delivery businesses are experiencing huge benefits via smart business applications. The invention and development of the food ordering app have helped all-scale businesses reach new customers and boost sales and profit. 

As a result, many business owners are searching for the best restaurant mobile app development company in Abu Dhabi. If you are also searching for the same, this article is helpful for you. It will let you know the step-by-step process to hire the right team of restaurant mobile app developers. 

Step-by-Step Process to Find the Best Restaurant App Development Company

Searching for the top mobile app development company in Abu Dhabi? Don't know the best way to search for professionals? Don't panic! Here is the step-by-step process to hire the best professionals. 

#Step 1 – Know the Company's Culture

Knowing the organization's culture is very crucial before finalizing a food ordering app development company in Abu Dhabi. An organization's personality is shaped by its common beliefs, goals, practices, or company culture. So, digging into the company culture reveals the core beliefs of the organization, its objectives, and its development team. 

Now, you might be wondering, how will you identify the company's culture? Well, you can take reference from the following sources – 

  • Social media posts 
  • App development process
  • About us Page
  • Client testimonials

#Step 2 - Refer to Clients' Reviews

Another best way to choose the On-demand app development firm for your restaurant business is to refer to the clients' reviews. Reviews are frequently available on the organization's website with a tag of "Reviews" or "Testimonials." It's important to read the reviews as they will help you determine how happy customers are with the company's app development process. 

You can also assess a company's abilities through reviews and customer testimonials. They can let you know if the mobile app developers create a valuable app or not. 

#Step 3 – Analyze the App Development Process

Regardless of the company's size or scope, adhering to the restaurant delivery app development process will ensure the success of your business application. Knowing the processes an app developer follows in designing and producing a top-notch app will help you know the working process. Organizations follow different app development approaches, so getting well-versed in the process is essential before finalizing any mobile app development company. 

#Step 4 – Consider Previous Experience

Besides considering other factors, considering the previous experience of the developers is a must. You can obtain a broad sense of the developer's capacity to assist you in creating a unique mobile application for a restaurant business.

You can also find out if the developers' have contributed to the creation of other successful applications or not. It will help you know the working capacity of a particular developer or organization. Prior experience is essential to evaluating their work. For instance, whether they haven't previously produced an app similar to yours or not. 

#Step 5 – Check for Their Technical Support

As you expect a working and successful restaurant mobile app for your business, checking on this factor is a must. A well-established organization is nothing without a good technical support team. So, ensure whatever restaurant mobile app development company you choose they must be well-equipped with a team of dedicated developers, designers, and testers. 

Strong tech support from your mobile app developers will help you identify new bugs and fix them bugs on time. All this will ensure the application's success. 

#Step 6 – Analyze Design Standards

Besides focusing on an organization's development, testing, and technical support, you should check the design standards. An appealing design is crucial in attracting new users and keeping the existing ones stick to your services. So, spend some time analyzing the design standards of an organization. Now, you might be wondering, how will you do it? Simple! By looking at the organization's portfolio. 

Whether hiring an iPhone app development company or any other, these steps apply to all. So, don't miss these steps. 

#Step 7 – Know Their Location

Finally, the last yet very crucial factor that will not only help you finalize the right person for your restaurant mobile app development but will also decide the mobile app development cost. So, you have to choose the location of the developers wisely, as it is a crucial factor in defining the cost. 

Summing Up!!!

Restaurant mobile applications have taken the food industry to heights none have ever considered. As a result, the demand for restaurant mobile app development companies has risen greatly, which is why businesses find it difficult to finalize the right person. But, we hope that after referring to this article, it will now be easier to hire dedicated developers under the desired budget. So, begin the hiring process now and get a well-craft food ordering app in hand. 

Dylan  Iqbal

Dylan Iqbal

1561523460

Matplotlib Cheat Sheet: Plotting in Python

This Matplotlib cheat sheet introduces you to the basics that you need to plot your data with Python and includes code samples.

Data visualization and storytelling with your data are essential skills that every data scientist needs to communicate insights gained from analyses effectively to any audience out there. 

For most beginners, the first package that they use to get in touch with data visualization and storytelling is, naturally, Matplotlib: it is a Python 2D plotting library that enables users to make publication-quality figures. But, what might be even more convincing is the fact that other packages, such as Pandas, intend to build more plotting integration with Matplotlib as time goes on.

However, what might slow down beginners is the fact that this package is pretty extensive. There is so much that you can do with it and it might be hard to still keep a structure when you're learning how to work with Matplotlib.   

DataCamp has created a Matplotlib cheat sheet for those who might already know how to use the package to their advantage to make beautiful plots in Python, but that still want to keep a one-page reference handy. Of course, for those who don't know how to work with Matplotlib, this might be the extra push be convinced and to finally get started with data visualization in Python. 

You'll see that this cheat sheet presents you with the six basic steps that you can go through to make beautiful plots. 

Check out the infographic by clicking on the button below:

Python Matplotlib cheat sheet

With this handy reference, you'll familiarize yourself in no time with the basics of Matplotlib: you'll learn how you can prepare your data, create a new plot, use some basic plotting routines to your advantage, add customizations to your plots, and save, show and close the plots that you make.

What might have looked difficult before will definitely be more clear once you start using this cheat sheet! Use it in combination with the Matplotlib Gallery, the documentation.

Matplotlib 

Matplotlib is a Python 2D plotting library which produces publication-quality figures in a variety of hardcopy formats and interactive environments across platforms.

Prepare the Data 

1D Data 

>>> import numpy as np
>>> x = np.linspace(0, 10, 100)
>>> y = np.cos(x)
>>> z = np.sin(x)

2D Data or Images 

>>> data = 2 * np.random.random((10, 10))
>>> data2 = 3 * np.random.random((10, 10))
>>> Y, X = np.mgrid[-3:3:100j, -3:3:100j]
>>> U = 1 X** 2 + Y
>>> V = 1 + X Y**2
>>> from matplotlib.cbook import get_sample_data
>>> img = np.load(get_sample_data('axes_grid/bivariate_normal.npy'))

Create Plot

>>> import matplotlib.pyplot as plt

Figure 

>>> fig = plt.figure()
>>> fig2 = plt.figure(figsize=plt.figaspect(2.0))

Axes 

>>> fig.add_axes()
>>> ax1 = fig.add_subplot(221) #row-col-num
>>> ax3 = fig.add_subplot(212)
>>> fig3, axes = plt.subplots(nrows=2,ncols=2)
>>> fig4, axes2 = plt.subplots(ncols=3)

Save Plot 

>>> plt.savefig('foo.png') #Save figures
>>> plt.savefig('foo.png',  transparent=True) #Save transparent figures

Show Plot

>>> plt.show()

Plotting Routines 

1D Data 

>>> fig, ax = plt.subplots()
>>> lines = ax.plot(x,y) #Draw points with lines or markers connecting them
>>> ax.scatter(x,y) #Draw unconnected points, scaled or colored
>>> axes[0,0].bar([1,2,3],[3,4,5]) #Plot vertical rectangles (constant width)
>>> axes[1,0].barh([0.5,1,2.5],[0,1,2]) #Plot horiontal rectangles (constant height)
>>> axes[1,1].axhline(0.45) #Draw a horizontal line across axes
>>> axes[0,1].axvline(0.65) #Draw a vertical line across axes
>>> ax.fill(x,y,color='blue') #Draw filled polygons
>>> ax.fill_between(x,y,color='yellow') #Fill between y values and 0

2D Data 

>>> fig, ax = plt.subplots()
>>> im = ax.imshow(img, #Colormapped or RGB arrays
      cmap= 'gist_earth', 
      interpolation= 'nearest',
      vmin=-2,
      vmax=2)
>>> axes2[0].pcolor(data2) #Pseudocolor plot of 2D array
>>> axes2[0].pcolormesh(data) #Pseudocolor plot of 2D array
>>> CS = plt.contour(Y,X,U) #Plot contours
>>> axes2[2].contourf(data1) #Plot filled contours
>>> axes2[2]= ax.clabel(CS) #Label a contour plot

Vector Fields 

>>> axes[0,1].arrow(0,0,0.5,0.5) #Add an arrow to the axes
>>> axes[1,1].quiver(y,z) #Plot a 2D field of arrows
>>> axes[0,1].streamplot(X,Y,U,V) #Plot a 2D field of arrows

Data Distributions 

>>> ax1.hist(y) #Plot a histogram
>>> ax3.boxplot(y) #Make a box and whisker plot
>>> ax3.violinplot(z)  #Make a violin plot

Plot Anatomy & Workflow 

Plot Anatomy 

 y-axis      

                           x-axis 

Workflow 

The basic steps to creating plots with matplotlib are:

1 Prepare Data
2 Create Plot
3 Plot
4 Customized Plot
5 Save Plot
6 Show Plot

>>> import matplotlib.pyplot as plt
>>> x = [1,2,3,4]  #Step 1
>>> y = [10,20,25,30] 
>>> fig = plt.figure() #Step 2
>>> ax = fig.add_subplot(111) #Step 3
>>> ax.plot(x, y, color= 'lightblue', linewidth=3)  #Step 3, 4
>>> ax.scatter([2,4,6],
          [5,15,25],
          color= 'darkgreen',
          marker= '^' )
>>> ax.set_xlim(1, 6.5)
>>> plt.savefig('foo.png' ) #Step 5
>>> plt.show() #Step 6

Close and Clear 

>>> plt.cla()  #Clear an axis
>>> plt.clf(). #Clear the entire figure
>>> plt.close(). #Close a window

Plotting Customize Plot 

Colors, Color Bars & Color Maps 

>>> plt.plot(x, x, x, x**2, x, x** 3)
>>> ax.plot(x, y, alpha = 0.4)
>>> ax.plot(x, y, c= 'k')
>>> fig.colorbar(im, orientation= 'horizontal')
>>> im = ax.imshow(img,
            cmap= 'seismic' )

Markers 

>>> fig, ax = plt.subplots()
>>> ax.scatter(x,y,marker= ".")
>>> ax.plot(x,y,marker= "o")

Linestyles 

>>> plt.plot(x,y,linewidth=4.0)
>>> plt.plot(x,y,ls= 'solid') 
>>> plt.plot(x,y,ls= '--') 
>>> plt.plot(x,y,'--' ,x**2,y**2,'-.' ) 
>>> plt.setp(lines,color= 'r',linewidth=4.0)

Text & Annotations 

>>> ax.text(1,
           -2.1, 
           'Example Graph', 
            style= 'italic' )
>>> ax.annotate("Sine", 
xy=(8, 0),
xycoords= 'data', 
xytext=(10.5, 0),
textcoords= 'data', 
arrowprops=dict(arrowstyle= "->", 
connectionstyle="arc3"),)

Mathtext 

>>> plt.title(r '$sigma_i=15$', fontsize=20)

Limits, Legends and Layouts 

Limits & Autoscaling 

>>> ax.margins(x=0.0,y=0.1) #Add padding to a plot
>>> ax.axis('equal')  #Set the aspect ratio of the plot to 1
>>> ax.set(xlim=[0,10.5],ylim=[-1.5,1.5])  #Set limits for x-and y-axis
>>> ax.set_xlim(0,10.5) #Set limits for x-axis

Legends 

>>> ax.set(title= 'An Example Axes',  #Set a title and x-and y-axis labels
            ylabel= 'Y-Axis', 
            xlabel= 'X-Axis')
>>> ax.legend(loc= 'best')  #No overlapping plot elements

Ticks 

>>> ax.xaxis.set(ticks=range(1,5),  #Manually set x-ticks
             ticklabels=[3,100, 12,"foo" ])
>>> ax.tick_params(axis= 'y', #Make y-ticks longer and go in and out
             direction= 'inout', 
              length=10)

Subplot Spacing 

>>> fig3.subplots_adjust(wspace=0.5,   #Adjust the spacing between subplots
             hspace=0.3,
             left=0.125,
             right=0.9,
             top=0.9,
             bottom=0.1)
>>> fig.tight_layout() #Fit subplot(s) in to the figure area

Axis Spines 

>>> ax1.spines[ 'top'].set_visible(False) #Make the top axis line for a plot invisible
>>> ax1.spines['bottom' ].set_position(( 'outward',10))  #Move the bottom axis line outward

Have this Cheat Sheet at your fingertips

Original article source at https://www.datacamp.com

#matplotlib #cheatsheet #python

Garry Taylor

Garry Taylor

1653464648

Python Data Visualization: Bokeh Cheat Sheet

A handy cheat sheet for interactive plotting and statistical charts with Bokeh.

Bokeh distinguishes itself from other Python visualization libraries such as Matplotlib or Seaborn in the fact that it is an interactive visualization library that is ideal for anyone who would like to quickly and easily create interactive plots, dashboards, and data applications. 

Bokeh is also known for enabling high-performance visual presentation of large data sets in modern web browsers. 

For data scientists, Bokeh is the ideal tool to build statistical charts quickly and easily; But there are also other advantages, such as the various output options and the fact that you can embed your visualizations in applications. And let's not forget that the wide variety of visualization customization options makes this Python library an indispensable tool for your data science toolbox.

Now, DataCamp has created a Bokeh cheat sheet for those who have already taken the course and that still want a handy one-page reference or for those who need an extra push to get started.

In short, you'll see that this cheat sheet not only presents you with the five steps that you can go through to make beautiful plots but will also introduce you to the basics of statistical charts. 

Python Bokeh Cheat Sheet

In no time, this Bokeh cheat sheet will make you familiar with how you can prepare your data, create a new plot, add renderers for your data with custom visualizations, output your plot and save or show it. And the creation of basic statistical charts will hold no secrets for you any longer. 

Boost your Python data visualizations now with the help of Bokeh! :)


Plotting With Bokeh

The Python interactive visualization library Bokeh enables high-performance visual presentation of large datasets in modern web browsers.

Bokeh's mid-level general-purpose bokeh. plotting interface is centered around two main components: data and glyphs.

The basic steps to creating plots with the bokeh. plotting interface are:

  1. Prepare some data (Python lists, NumPy arrays, Pandas DataFrames and other sequences of values)
  2. Create a new plot
  3. Add renderers for your data, with visual customizations
  4. Specify where to generate the output
  5. Show or save the results
>>> from bokeh.plotting import figure
>>> from bokeh.io import output_file, show
>>> x = [1, 2, 3, 4, 5] #Step 1
>>> y = [6, 7, 2, 4, 5]
>>> p = figure(title="simple line example", #Step 2
x_axis_label='x',
y_axis_label='y')
>>> p.line(x, y, legend="Temp.", line_width=2) #Step 3
>>> output_file("lines.html") #Step 4
>>> show(p) #Step 5

1. Data 

Under the hood, your data is converted to Column Data Sources. You can also do this manually:

>>> import numpy as np
>>> import pandas as pd
>>> df = pd.OataFrame(np.array([[33.9,4,65, 'US'], [32.4, 4, 66, 'Asia'], [21.4, 4, 109, 'Europe']]),
                     columns= ['mpg', 'cyl',   'hp',   'origin'],
                      index=['Toyota', 'Fiat', 'Volvo'])


>>> from bokeh.models import ColumnOataSource
>>> cds_df = ColumnOataSource(df)

2. Plotting 

>>> from bokeh.plotting import figure
>>>p1= figure(plot_width=300, tools='pan,box_zoom')
>>> p2 = figure(plot_width=300, plot_height=300,
x_range=(0, 8), y_range=(0, 8))
>>> p3 = figure()

3. Renderers & Visual Customizations 

Glyphs 

Scatter Markers 
Bokeh Scatter Markers

>>> p1.circle(np.array([1,2,3]), np.array([3,2,1]), fill_color='white')
>>> p2.square(np.array([1.5,3.5,5.5]), [1,4,3],
color='blue', size=1)

Line Glyphs 

Bokeh Line Glyphs

>>> pl.line([1,2,3,4], [3,4,5,6], line_width=2)
>>> p2.multi_line(pd.DataFrame([[1,2,3],[5,6,7]]),
pd.DataFrame([[3,4,5],[3,2,1]]),
color="blue")

Customized Glyphs

Selection and Non-Selection Glyphs 

Selection Glyphs

>>> p = figure(tools='box_select')
>>> p. circle ('mpg', 'cyl', source=cds_df,
selection_color='red',
nonselection_alpha=0.1)

Hover Glyphs

Hover Glyphs

>>> from bokeh.models import HoverTool
>>>hover= HoverTool(tooltips=None, mode='vline')
>>> p3.add_tools(hover)

Color Mapping 

Bokeh Colormapping Glyphs

>>> from bokeh.models import CategoricalColorMapper
>>> color_mapper = CategoricalColorMapper(
             factors= ['US', 'Asia', 'Europe'],
             palette= ['blue', 'red', 'green'])
>>>  p3. circle ('mpg', 'cyl', source=cds_df,
            color=dict(field='origin',
                 transform=color_mapper), legend='Origin')

4. Output & Export 

Notebook

>>> from bokeh.io import output_notebook, show
>>> output_notebook()

HTML 

Standalone HTML 

>>> from bokeh.embed import file_html
>>> from bokeh.resources import CON
>>> html = file_html(p, CON, "my_plot")

>>> from  bokeh.io  import  output_file,  show
>>> output_file('my_bar_chart.html',  mode='cdn')

Components

>>> from bokeh.embed import components
>>> script, div= components(p)

PNG

>>> from bokeh.io import export_png
>>> export_png(p, filename="plot.png")

SVG 

>>> from bokeh.io import export_svgs
>>> p. output_backend = "svg"
>>> export_svgs(p,filename="plot.svg")

Legend Location 

Inside Plot Area 

>>> p.legend.location = 'bottom left'

Outside Plot Area 

>>> from bokeh.models import Legend
>>> r1 = p2.asterisk(np.array([1,2,3]), np.array([3,2,1])
>>> r2 = p2.line([1,2,3,4], [3,4,5,6])
>>> legend = Legend(items=[("One" ,[p1, r1]),("Two",[r2])], location=(0, -30))
>>> p.add_layout(legend, 'right')

Legend Background & Border 

>>> p.legend. border_line_color = "navy"
>>> p.legend.background_fill_color = "white"

Legend Orientation 

>>> p.legend.orientation = "horizontal"
>>> p.legend.orientation = "vertical"

Rows & Columns Layout

Rows

>>> from bokeh.layouts import row
>>>layout= row(p1,p2,p3)

Columns

>>> from bokeh.layouts import columns
>>>layout= column(p1,p2,p3)

Nesting Rows & Columns 

>>>layout= row(column(p1,p2), p3)

Grid Layout 

>>> from bokeh.layouts import gridplot
>>> rowl = [p1,p2]
>>> row2 = [p3]
>>> layout = gridplot([[p1, p2],[p3]])

Tabbed Layout 

>>> from bokeh.models.widgets import Panel, Tabs
>>> tab1 = Panel(child=p1, title="tab1")
>>> tab2 = Panel(child=p2, title="tab2")
>>> layout = Tabs(tabs=[tab1, tab2])

Linked Plots

Linked Axes 

Linked Axes
>>> p2.x_range = p1.x_range
>>> p2.y_range = p1.y_range

Linked Brushing 

>>> p4 = figure(plot_width = 100, tools='box_select,lasso_select')
>>> p4.circle('mpg', 'cyl' , source=cds_df)
>>> p5 = figure(plot_width = 200, tools='box_select,lasso_select')
>>> p5.circle('mpg', 'hp', source=cds df)
>>>layout= row(p4,p5)

5. Show or Save Your Plots  

>>> show(p1)
>>> show(layout)
>>> save(p1)

Have this Cheat Sheet at your fingertips

Original article source at https://www.datacamp.com

#python #datavisualization #bokeh #cheatsheet

vaxxy allen

1601466284

Prestashop One Page Checkout Addon | One Step Checkout Extension | Knowband

The checkout page is considered as one of the most important pages in an eCommerce store as this is the last step where it is decided that the money will come to you or not. Knowband offers PrestaShop One Page Checkout addon which replaces your website’s default checkout with a clean and fast One Page Checkout.
This is image title

The addon simplifies the checkout process for your customers so that they can complete it easily and quickly. The addon removes the unnecessary steps from the checkout process and makes it convenient. With advanced features like Social login and Guest checkout, the addon saves the customers from creating a separate account to place the order from the checkout page.

Advantages of the Prestashop One Page Checkout:

  1. Simplifies Checkout Process: The module summarizes the whole checkout process on a single page and makes it convenient for the customers to fill the details.
  2. Saves Customers’ Time: With the Knowband’s Prestashop Fast Checkout addon, the buyers don’t need to fill too many fields and load multiple pages to place the order. They can easily and quickly fill the details and complete their purchase in no time.
  3. No More Abandoned Carts: It requires a lot of work to get the customers to the checkout page and it feels frustrated if he leaves the website from the checkout page without completing the order due to rigid and time-consuming checkouts. The PrestaShop Quick Checkout addon removes this hurdle by making the checkout page clean and simple and helps the customers to complete their orders in no time.
  4. Improves Conversion Rate: The Knowband’s PrestaShop One Step Checkout Addon enhances the checkout experience of your customers and helps in maximizing the conversion rate of your online business.
  5. Mobile Responsive: The addon offers a mobile responsive checkout layout which allows the customers to place the order using their mobile devices also.
    Key Features of the PrestaShop One Page Supercheckout:
  6. Easy to Install and Configure: The module is super easy to install and integrate into your website without any coding efforts.
  7. Guest Checkout: The Knowband’s Prestashop Fast Checkout addon offers guest checkout functionality which allows the customers to place their orders without creating a new separate account.
  8. Social Login options: With the Prestashop One Page Checkout module, your customers can also with Google and Facebook accounts from the checkout page.
  9. Customizable Fields: The fields on the checkout fields are completely customizable from the back-end of the module. The store admin can show/hide or make steps optional or mandatory to fill. The admin can also re-arrange the checkout fields by dragging and dropping.
  10. Multiple Checkout Layouts: The Knowband’s Prestashop One Page Checkout addon offers 3 different checkout page layouts to choose from. The admin can select a 1-column, 2-column, or 3-column layout from the back office of the module.
  11. MailChimp, SendinBlue, and Klaviyo Integration: The addon offers integration with popular email service providers like MailChimp, Klaviyo, and SendinBlue by which the collected users’ database is automatically synced to these accounts.
  12. Test Mode: The Prestashop Single Page Checkout addon offers a Test mode functionality that allows you to check and test the customizations done to the One Page Checkout before making it live on the website.
  13. GDPR Compatibility: The addon is GDPR compatible.

For more details about the addon, click on the below links:
PrestaShop One Page Checkout addon

PrestaShop One Page Checkout User Manual
Admin Demo
Front Demo