Python is a powerful and versatile programming language for data analysis and visualization. One of the most common tasks you may encounter as a data presenter is to plot multiple data sets or ...

Plotting charts in an Excel sheet using the openpyxl module in a Linux environment by getting a CSV file as an input. This is done using a Python script. After creating the chart, connect the local ...

I have the following chart in PowerPoint: I read the chart data in python using the python pptx library. chart = shapes_list[19].chart plot = chart.plots len ...

This grouped data is then stored in the variable totals. We can now go ahead and plot a simple donut chart showing the total amount invoiced to each customer as follows: The “hole=0.4” is optional ...

Matplotlib integrates seamlessly with other Python data science libraries like NumPy, scikit-learn, and pandas. Features: Supports 2D plotting, including line charts, scatter plots, bar charts, ...

It is a handy tool for keeping a record of data explorations, creating charts, styling text and sharing the results of that work. For data analysis, the cornerstone package in Python is “Pandas”.