Mx Bikes Plugins
Skye Severy
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I want to enter list of bikes (all bikes with their specs) and want to let users make reviews based on criteria I make.
Also I want to make frontend reviews and rating, and that users can say if they owned that bike.
An electric bike is just like an ordinary bike, except it has an on-board rechargeable battery and motor which assists the rider. Certain requirements must be met in order for a vehicle to be classified as an electric bike. Electric bikes meeting these requirements are known as 'electrically assisted pedal cycles' or EPACs for short.
Not really. Riding an electric bike is very similar to riding a normal bike. You can pedal the bike as you would normally do, but many electric bikes have additional features such as throttle and pedal assist.
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Nonetheless, many times the result of the analysis can change drastically if we don't take the time into account. Maybe the most obvious example is when analyzing commuting patterns: if you analyze the whole day it looks like the people going to the city center is approximately the same that goes in the opposite direction. When you split it by time of day you can see a big difference in the way people moves in the morning (going to work) and the afternoon (returning home).
In this kind of cases where we want to deepen our understanding of a particular situation, we need to add a second variable to the analysis: time. This will help us answer when things are happening.
In this article, we wrangle with the publicly available data of New York's bike-sharing service to introduce some plugins that can help us make animated, interactive maps in Jupyter notebooks with Python's Folium library.
If you are a Python user, you may already be familiar with the first three libraries. If you are starting to use Python and want to learn more about them I strongly recommend you to read Jake VanderPlas's famous book "Python Data Science Handbook" to get a full introduction. It is free and you can read it directly from your computer.
In the last line, we import the datetime library that will allow us to work more comfortably with time series. If you are interested in learning more about how to work with time series efficiently you can read this section of the book. I found it very helpful.
This plugin allows us to draw data on an interactive folium map and animate it depending on a time variable (year, month, day, hour, etc) and supports any kind of geometry (points, line strings, etc). The only thing you have to do is to make sure to "feed" it with a geojson in the right format.
In the code above we use the pandas pivot_table() function that helps us group the data in any way we want. Note that the last index we use is "nyc.index.hour". This takes the index of the data frame and, since it is of the datetime format, we can get the hour of that value like shown above. We could get the day or month similarly.
The map above looks pretty cool, we can clearly see that in the morning peak, many trips start in the places that surround the city center and in the afternoon there is a big amount of trips that start in the station that is right in the center of the map.
The DualMap plugin can help us achieve this. To use it, we will first run a similar script to the one we did above to get the number of trips that end at each station by time of the day.
As we suspected, in the morning, most of the trips end at the station in the middle of the map (red circles on the right map) and in the afternoon most trips start there (green circles on the left map) and spread around the city. It would be reasonable to assume that there is a big transit station there (maybe a train station) that takes many people to work to Manhattan, across the bridge.
Before starting to work with our data, let's take a look at what settings this plugin needs. From the live demo, we can see that the settings include the weight (thickness of the line) and delay (speed of the animation, the higher the delay, the slower the animation). In our case, it would be interesting to profit from these settings to better represent the level of activity between two stops. We will keep this in mind going forward.
From the map we saw previously, it seems like there is a big station in the middle of the map that might be worth analyzing on its own. I will start by filtering the top 6 stations that interact the most with it.
After doing a correlation heatmap with cufflinks I see that the most interesting station to analyze is by far "Grove St PATH" (you can go to the notebook the code for this one since it is not the aim of the article).
So, Grove St PATH seems to be the most interesting where, but we are also going to slice our data a little bit to understand when things happen. As we saw in the time stamped geojson map, in the morning the biggest flow is towards Grove St PATH while in the afternoon the dominant flow is from Grove St PATH. It looks like it will be useful to divide our data into these periods of time before animating the data.
Now that we have filtered the information as needed, we will transform our data frames to create the format the plugin needs. I am going to show the process followed for transforming to_st_path data frame in the article but the same was done to from_st_path. You can access the full code downloading the entire notebook here.
After running the same code for the other data frame we can now create a dual map that shows the activity towards Grove St PATH in the morning peak and the activity from Grove St PATH in the afternoon peak.
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CleanBC Go Electric Rebates is a sub-program of the CleanBC Go Electric Program and is designed to support the adoption of ZEVs in a variety of applications including motorcycles, low-speed vehicles, electric cargo bicycles (cargo e-bikes), utility vehicles, and a variety of medium- and heavy-duty vehicles, referred to as specialty-use vehicles. The CleanBC Go Electric Rebates Program targets specialty-use vehicles that are not included in the CleanBC Go Electric Passenger Vehicle Rebate Program, which focuses on light-duty (passenger) vehicles.
Applicants for cargo e-bikes, on road medium and heavy duty vehicles, utility vehicles, airport, and port specialty vehicles must have a valid B.C. business licence or be a non-profit organization or a public entity.
Individuals are eligible to apply for both zero-emission motorcycle, and neighbourhood electric vehicle (sub-category of Low-Speed vehicles) rebates. Organizations are eligible to apply to both zero-emission motorcycle and low-speed vehicle categories.
Fleets (organizations including businesses, non-profits and public sector organizations) may apply for rebates on eligible zero-emission buses, trucks and more. Leased vehicles in this category can only receive a rebate if the lease is 36 months or more.
Fleets (organizations including businesses, non-profits and public sector organizations) may apply for rebates on eligible zero-emission all-terrain vehicles, off-road side-by-side vehicles, snowmobiles and more.
Please note: The Ministry has reviewed the CleanBC Go Electric Rebates Program vehicle eligibility list as the intent of the program is to support the adoption of hydrogen fuel cell and plug-in electric vehicles in sectors that have not fully shifted to electrification. As a result of this review, the forklift category of the program has been removed.
Leased vehicles are eligible for a rebate depending on the term of the lease and whether the vehicle is used for personal or fleet purposes as shown below. To qualify for the full value of the rebate, a minimum 36-month lease is required for non-fleet applicants. If the applicant breaks the lease, the applicant will be required to return the difference between the original lease time rebate and the actual lease time rebate.
In this guide, we will tell you how you can set up bike rental using the WooCommerce Bookings plugin. We will take a real-life example to help you understand how it can be done. Read along.
Step 1: Create a bookable product for every 1 hour. Set the Max bookings per block to 10, as Sam has only 10 bikes to provide for rent at a time. Also, set the minimum duration to 2 as every customer needs to book a bike for at least 2 hours.
Step 2: Provide the booking start and end times based upon the store opening and closing times (say, if the store remains open from 9 AM to 9 PM, provide the first booking starts at 9 AM and the last booking starts at 8 PM):
The Bike Rental plugin is a tool that will transform your WordPress website for a great bike rental service. Configure and manage detailed data on the type, model, size, and other specifications of your bikes, add extra products, manage the orders usings this very solution.
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