In this post I am going to discuss a Matplotlib feature which let you add multiple plots within a figure called subplots. Subplots are helpful when you want to show different data presentation in a ...

Matplotlib :- ( part - 3 ) SubPlot on a single canvas. creating subplots on a single canvas in Matplotlib refers to arranging multiple independent plots within a single figure object, which acts as ...

Matplotlib is a leading library for data visualisation in Python, essential for creating impressive plots effortlessly. The library has influenced many other popular plotting libraries, highlighting ...

I've been plotting timeseries data using the matplotlib.dates module and have come across an issue when using it in conjunction with the subplot command. For figures with greater than one subplot in a ...

Specifying sizes directly makes it easier to achieve consistent ax sizes across figures. Suppose you're plotting various time series data and you would like consistent inches / week on your x axis. Or ...

Now that we've seen the basics, let's break it all down with a more formal introduction of Matplotlib's Object Oriented API. This means we will instantiate figure objects and then call methods or ...

It is possible to set a logarithmic scale for one or both axes. This functionality is in fact only one application of a more general transformation system in Matplotlib. Each of the axes' scales are ...

Matplotlib mistakes often come from poor layout, unclear labels, and wrong scale choices, not from the data itself. Clear plotting improves when scatter plots and large datasets are simplified for ...