The algorithm for this problem is very simple. Flowchart to represent the palindrome problemĪ palindrome is a word or sequence that is read the same forwards or backward.
Moreover, this package allows the user to control the size of the elements such as width and height, as well as the direction of the arrows as shown in the screenshot below.Ĭonstructing the basic elements of a flowchart using the SchemDraw package. With SchemDraw, it is possible to construct these basic shapes in Python by importing schemdraw.Drawing() and passing the corresponding parameters and labels for each element. The different shapes are connected by pointed arrows, also known as a connector. A diamond shape illustrates a decision-making stage in the process. A parallelogram represents a user-defined input while a rectangle represents a process. The start or end nodes are represented by an elliptical shape. There are six main elements in a flowchart. However, I found that this package could also be utilised to create customised flowcharts. Delker, allows for the creation of high-quality electrical circuit schematic diagrams. The S chemDraw package, developed by Colling J. I am going to consider an example of a problem to detect whether a string is a palindrome or not. In the following section, I am going to describe a way to create a flowchart in Python using the SchemDraw package. Sketching the flowchart using pen and paper to solve simple problems such as taking the sum of n numbers or printing a sequence of numbers was an interesting challenge back then. I recall in my high school learning about flowcharts for the first time in computer science class. Flowcharts could be of different types but their primary purpose is to reflect the flow of the process to solve a problem or achieve an objective. If the environment is not required anymore, it can also be removed easily using: conda env remove -n graphs FlowchartĪ flowchart is a picture that represents the different steps in a process in sequential order. Once the kernel is installed, then to run a notebook in the given environment, I simply go to Kernel, Change kernel, and select graphs.
#FLOWCHART GRAPHVIZ INSTALL#
It is also possible to create a unique kernel in jupyter notebook for this virtual environment, which I created using the following command in the terminal: python -m ipykernel install -user -name graphs -display-name "graphs" Once the environment is created, I activate it using: conda activate graphs To create the virtual environment named graphs using the given yml file, I run the following in the terminal: conda env create -n graphs -file graphs-environment.yml Let’s get started.Įnvironment file to create a virtual environment named graphs. In the subsequent parts, I am going to share the ways to visualise tree structures such as logic trees, and organograms using other packages. In the first part of the series, I am going to share a technique I figured out to create a flowchart in Python using the SchemDraw package. In this series, I am going to share my findings regarding the different possibilities of graph visualisation using Python. I wanted to explore further possibilities with Python to represent the problem-solving processes. I came across different packages that could serve my purpose, such as networkx and graphviz. So I started by exploring the possibility of creating a logic tree with Python. Moreover, modifying such plots manually could be a tedious process.
#FLOWCHART GRAPHVIZ MANUAL#
But using these programs would be a manual process, which could result in some inconsistencies with respect to shape and size in the visualisation. Apparently, I could create a logic tree using programs such as MS PowerPoint or Paint. In the logic tree, I had to represent various equations to solve the problem. Recently, I was assigned the task of creating a logic tree diagram to represent a problem-solving process at my work. Creating flowchart using the SchemDraw package
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