It is unbelievable that this is already post #200 for my Python Friday series. Let us use this milestone to look back at the topics we covered since Python Friday #100. Again, you get an easy-to-use reference that lets you jump right to the topics you are interested in. Fundamentals of the Python language …
With Dash and Plotly we can create complex interactive dashboards, while Flask works in the background to gives us all the web capabilities. In this post we turn the tables and add Dash to an existing Flask application. This post is part of my journey to learn Python. You find the code for this post …
After our first steps with Dash last week, we create in this post a more complex dashboard with multiple components that we can update simultaneously. This post is part of my journey to learn Python. You find the code for this post in my PythonFriday repository on GitHub. Install the dash-bootstrap-components I like working …
Wit Plotly we can already create interactive plots and find the data points we are interested in. Would it not be great if we could add some more interactivity and combine multiple plots to a dashboard? Luckily for us, we can do exactly that with Dash. This post is part of my journey to learn …
So far, we saved our plots with the camera icon of the plot preview. If we want to automate the creation of our plots, this manual step will not be sufficient, and we need to have an alternative that we can call from our code. Unfortunately, there is a catch that you need to be …
There is still more to customise with Plotly than the colours or the templates. In this post we go through the few parts that Plotly does automatically but not always to our satisfaction. This post is part of my journey to learn Python. You find the code for this post in my PythonFriday repository on …
While colours are one of the most notable things we can change in Plotly, there are many more knobs we can turn to influence the visual aspects of our plots. In this post we explore how templates for Plotly work and what we need to create our own. This post is part of my journey …
As we have seen in the last post, Plotly does not always use colours with a high enough contrast. In this post we explore the different options we have to choose better colours. This post is part of my journey to learn Python. You find the code for this post in my PythonFriday repository on …
Last week we figured out how we can create our well-known plots with Plotly. In this post we explore the diagrams that are specific to Plotly and may help us to find another approach to visualise our data. This post is part of my journey to learn Python. You find the code for this post …
After our first steps with the interactive plots of Plotly, we will now explore the different diagrams we can use to visualize our data. This post is part of my journey to learn Python. You find the code for this post in my PythonFriday repository on GitHub. Line plot / Line chart We can …