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Flask interactive table

Build a live dashboard with Python

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If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again. For more, see the examples for some complete, runnable demonstrations.

The attribute used for each column in the declaration of the column is used as the default thing to lookup in each item. There are also LinkCol and ButtonCol that allow links and buttons, which is where the Flask-specific-ness comes in. Note that a and b define an attribute on the table class, but c defines an attribute on the instance, so anything set like in c will override anything set in a or b. OptCol - converts values according to a dictionary of choices. Eg for turning stored codes into human readable text.

ButtonCol subclass of LinkCol creates a button that posts the the given address. NestedTableCol - allows nesting of tables inside columns.

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When creating the column, you pass some choices. This should be a dict with the keys being the values that will be found on the item's attribute, and the values will be the text to be displayed. The default value will be used if the value found from the item isn't in the choices dict. The default key works in much the same way, but means that if your default is already in your choices, you can just point to it rather than repeat it. So the value from the item is coerced to a bool and then looked up in the choices to get the text to display.

Formats a date from the item.

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Formats a datetime from the item. Babel uses a locale to determine how to format dates. Note that Babel reads the environment variables at import time, so if you set these within Python, make sure it happens before you import Flask Table. The other two options would be considered "better", largely for this reason. Gives a way of putting a link into a td. You must specify an endpoint for the url. These keys obey the same rules as elsewhere, so can be things like 'category.

This can be useful for adding constant GET params to a url. The text for the link is acquired in almost the same way as with other columns.

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This make more sense for things like an "Edit" link. Has all the same options as LinkCol but instead adds a form and a button that gets posted to the url. The keys will be used as the name attributes and the values as the value attributes. This column type makes it possible to nest tables in columns. For each nested table column you need to define a subclass of Table as you normally would when defining a table.

The name of that Table sub-class is the second argument to NestedTableCol. Suppose our item has an attribute, but we don't want to output the value directly, we need to alter it first. At present, you do still need to be careful about escaping things as you override these methods. Also, because of the way that the Markup class works, you need to be careful about how you concatenate these with other strings.

Suppose you want to change something about the tr element for some or all items. By default, this method returns an empty dict.By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service. The dark mode beta is finally here.

Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. I am trying to create HTML tables from data stored in a table. My data is read from a table and converted into a dict of lists, e.

These experiments and many other dead ends lead me to believe that there is no simple way to build the table as I would like given my current data structure.

Given this, I have two questions: 1 How would I go about building the table using my current data structure? Like you said, you could either change your data structure, or change your template code. Here is one way to keep the current structure:. You might use Flask-Table or for something more complex even leverage Flask-Admin. Yeah, you really want to use a list of dictionaries instead of a dictionary of lists, that works out better with Jinja2.

Learn more. Asked 7 years, 5 months ago. Active 5 years, 6 months ago. Viewed 46k times. Thanks in advance. Active Oldest Votes. Nathan Villaescusa Nathan Villaescusa This is great, thank you.Note: This post requires you know some basic Python. You should be comfortable with what functions are and how to write them. Here is a quick refresher! It would also be nice if you understood the basics of dictionaries: what they are, how to access elements of one, and how to store information into one.

You should have Python 3 installed on your computer if you want to follow along download it herebut you can also follow along with the interactive repl. Finally, you should know some basic HTML, which is a markup language for creating web pages.

A lot of people who first get into programming do so because they want to make cool apps. They want to make a website that they can send to friends, or even share with the whole world. These people just want to make some cool apps, and maybe even create some quick hackathon projects. Do you relate to the unnamed person in this article?

If so, then read on! I was once like you, doing hackathon projects on the command line seriously. But then I learned about the beautiful world of web development, and how easy it was to put my Python on the web. Those are great for learning how to make Flask apps for heavy duty websites, but make a horrible experience for beginners just trying to make a quick website.

So I thought I would start from the bottom up, and teach you how to get started making quick and easy Flask apps, starting from functions you already know how to make. This post is also great as a guide for teachers who teach Python and want a good way to motivate students, by showing them how to use their Python skills and make web apps with them without learning too much boilerplate.

You can see those slides here. You may use them, but please give credit back to my website! Put simply, Flask is a Python web framework that makes it stupid easy to create websites, while at the same time being powerful enough to be used at companies worldwide. A framework is software that abstracts complicated ideas away from you, and basically handles all of the business logic of what needs to be in a website, so you only need to worry about the code for the bits unique to your specific website.

Flask likes to call itself a microframeworkmeaning that it tries to be as minimalist as possible. This light-weight design means that you can create a website with very little code! Here are some examples of companies and projects that have used Flask, to hopefully prove to you that it is not just a toy source :. Just like Python, Flask is easy enough to be picked up by beginners, but if you put the time into it, you can make a career out of it.

If you already have Python on your computer, then great! All you need to do is pip install flask. And it should be installed! You can verify this by trying to run a Python program with just this in it:. I definitely recommend you try to run it on your own computer though, just to learn how to run that kind of thing.Web apps are a great way to show your data to a larger audience.

Simple tables can be a good place to start. Imagine we want to list all the details of local surfers, split by gender. This translates to a couple of pandas dataframes to display, such as the dataframe females below. All tables have the class dataframe by default. We can add on more classes using the classes parameter.

flask interactive table

For example, writing. Any html templates must be stored in the templates directory. Any css sheets must be within the static directory. We can create a page on our web app called tables. Every time this page loads, we pull the data, filter and format to get two dataframes, females and males.

flask interactive table

The dataframes are then transformed into html tables with classes dataframe female and dataframe male respectively.

These html tables are sent as a list to the template view. We also send a list of titles to use as a heading for each table. The html template view. We will check out the css in the next section. Next, the jinja2 language allows us to loop through the html table list tables.

Using loop. This starts from 1 so we need to convert between python list indices and those for jinja2 loops. Then we can pull out the correct title for each table. For each table in the list, the table title is shown, and then the table itself. We can use the following styling to make the tables a bit more pretty. The classes male and female have been defined with different header colours.In the past, if we needed to build a web platform that keeps track of user actions and displays updates accordingly, say on the admin dashboard, we will have to refresh the dashboard from time to time — usually intuitively — to check for new updates.

Today, however, we can build a fully interactive web application and have the updates served to us in realtime. In this tutorial, we will build an interactive website with a dashboard that displays updates on user actions in realtime.

Here is what the final application will look like:. The image above shows two browser windows, the window on the left shows a user performing three actions:. The realtime update in this application is powered by Pusher. For the sake of this article, we will build the backend server using a Python framework called Flask. The source code for this tutorial is available here on GitHub.

You will also need the following installed:. Virtualenv is great for creating isolated Python environments, so we can install dependencies in an isolated environment, and not pollute our global packages directory.

Now that we have the virtual environment setup, we can install Flask with this command:. The first step will be to get a Pusher Channels application. We will need the application credentials for our realtime features to work. Go to the Pusher website and create an account. After creating an account, you should create a new application.

Follow the application creation wizard and then you should be given your application credentials, we will use this later in the article. We also need to install the Pusher Python Library to send events to Pusher. Install this using the command below:. The static folder will contain the static files to be used as is defined by Flask standards.

The templates folder will contain the HTML templates. In our application, app. We will go ahead and create the app. In this file, we are going to register five routes and their respective handler functions. We will create these pages shortly. These will serve as API endpoints. These endpoints will be responsible for processing the POST requests that will be coming from our frontend and receiving user data.

We will also create a fresh Pusher instance and use it to broadcast data through three channels, one for each of the three possible user operations:. In the code above, we imported the required modules and objects, then initialized a Flask app.

flask interactive table

Next, we initialized and configure Pusher and also registered the routes and their associated handler functions. With the pusher object instantiated, we can trigger events on whatever channels we define.

flask interactive table

The trigger method has the following syntax:.The attribute used for each column in the declaration of the column is used as the default thing to lookup in each item. There are also LinkCol and ButtonCol that allow links and buttons, which is where the Flask-specific-ness comes in.

Note that a and b define an attribute on the table class, but c defines an attribute on the instance, so anything set like in c will override anything set in a or b. OptCol - converts values according to a dictionary of choices.

easily make your html table content editable with jquery or javascript

Eg for turning stored codes into human readable text. ButtonCol subclass of LinkCol creates a button that posts the the given address. NestedTableCol - allows nesting of tables inside columns. When creating the column, you pass some choices. This should be a dict with the keys being the values that will be found on the item's attribute, and the values will be the text to be displayed.

The default value will be used if the value found from the item isn't in the choices dict. The default key works in much the same way, but means that if your default is already in your choices, you can just point to it rather than repeat it. So the value from the item is coerced to a bool and then looked up in the choices to get the text to display. Formats a date from the item. Formats a datetime from the item.

Flask Table

Gives a way of putting a link into a td. You must specify an endpoint for the url. These keys obey the same rules as elsewhere, so can be things like 'category. This can be useful for adding constant GET params to a url. The text for the link is acquired in almost the same way as with other columns. This make more sense for things like an "Edit" link.

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Has all the same options as LinkCol but instead adds a form and a button that gets posted to the url. The keys will be used as the name attributes and the values as the value attributes.

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This column type makes it possible to nest tables in columns. For each nested table column you need to define a subclass of Table as you normally would when defining a table. The name of that Table sub-class is the second argument to NestedTableCol.

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Suppose our item has an attribute, but we don't want to output the value directly, we need to alter it first. At present, you do still need to be careful about escaping things as you override these methods. Also, because of the way that the Markup class works, you need to be careful about how you concatenate these with other strings. Suppose you want to change something about the tr element for some or all items. By default, this method returns an empty dict. Use whichever you think makes your code more readable.

Though you may still need the dynamic option for something like. If reverse is True, then that means that the table has just been sorted by that column and the url can adjust accordingly, ie to now give the address for the table sorted in the reverse direction.

It is, however, entirely up to your flask view method to interpret the values given to it from this url and to order the results before giving the to the table.Released: Dec 22, View statistics for this project via Libraries. Note that a and b define an attribute on the table class, but c defines an attribute on the instance, so anything set like in c will override anything set in a or b. When creating the column, you pass some choices. The default key works in much the same way, but means that if your default is already in your choices, you can just point to it rather than repeat it.

So the value from the item is coerced to a bool and then looked up in the choices to get the text to display. Formats a date from the item. Formats a datetime from the item. Gives a way of putting a link into a td. You must specify an endpoint for the url. These keys obey the same rules as elsewhere, so can be things like 'category. This can be useful for adding constant GET params to a url.

The text for the link is acquired in almost the same way as with other columns. Has all the same options as LinkCol but instead adds a form and a button that gets posted to the url.

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The keys will be used as the name attributes and the values as the value attributes. This column type makes it possible to nest tables in columns. For each nested table column you need to define a subclass of Table as you normally would when defining a table. The name of that Table sub-class is the second argument to NestedTableCol.

At present, you do still need to be careful about escaping things as you override these methods. Also, because of the way that the Markup class works, you need to be careful about how you concatenate these with other strings.

Suppose you want to change something about the tr element for some or all items. By default, this method returns an empty dict.