How to plot a line in matplotlib in python?
IntroductionMatplotlib is one of the most widely used data visualization libraries in Python. From simple to complex visualizations, it's the go-to library for most. Show In this tutorial, we'll take a look at how to plot a line plot in Matplotlib - one of the most basic types of plots. Line Plots display numerical values on one axis, and categorical values on the other. They can typically be used in much the same way Bar Plots can be used, though, they're more commonly used to keep track of changes over time. Plot a Line Plot in MatplotlibTo plot a line plot in Matplotlib, you use the generic Let's make our own small dataset to work with:
This results in a simple line plot: Alternatively, we could've completely omitted the
This results in much the same line plot as before, as the values of This results in much the same line plot as before, as the values of We can, however, change this behavior and go above that range, in which case, the
This results in: We've been dealing with uniform
The first couple of values sets the scale. And The X-axis maintains its uniform scale, and adds a bunch of missing values from Plot a Line Plot Logarithmically in MatplotlibWhen dealing with datasets that have progressively larger numbers, and especially if their distribution leans towards being exponential, it's common to plot a line plot on a logarithmic scale. Instead of the Y-axis being uniformly linear, this will change each interval to be exponentially larger than the last one. This results in exponential functions being plotted essentially, as straight lines. When dealing with this type of data, it's hard to wrap your mind around exponential numbers, and you can make it much more intuitive by plotting the data logarithmically. Let's use Numpy to generate an exponential function and plot it linearly, like we did before: Check out our hands-on, practical guide to learning Git, with best-practices, industry-accepted standards, and included cheat sheet. Stop Googling Git commands and actually learn it!
This creates a array, that's 10 in length, and contains values between This sort of function, although simple, is hard for humans to conceptualize, and small changes can easily go unnoticed, when dealing with large datasets. Now, let's change the scale of the Y-axis to logarithmic:
Using the PyPlot instance, Here, we could've also used Running this code results in: Customizing Line Plots in MatplotlibYou can easily customize regular Line Plots by passing arguments to the These will typically be arguments such as
This results in: Instead of the
This results in: There's a lot of line styles. ConclusionIn this tutorial, we've gone over several ways to plot a Line Plot using Matplotlib and Python. We've also covered how to plot on a logarithmic scale, as well as how to customize our line plots. If you're interested in Data Visualization and don't know where to start, make sure to check out our bundle of books on Data Visualization in Python: Data Visualization in Python with Matplotlib and Pandas is a book designed to take absolute beginners to Pandas and Matplotlib, with basic Python knowledge, and allow them to build a strong foundation for advanced work with theses libraries - from simple plots to animated 3D plots with interactive buttons.
Data Visualization in Python, a book for beginner to intermediate Python developers, guides you through simple data manipulation with Pandas, cover core plotting libraries like Matplotlib and Seaborn, and show you how to take advantage of declarative and experimental libraries like Altair. More specifically, over the span of 11 chapters this book covers 9 Python libraries: Pandas, Matplotlib, Seaborn, Bokeh, Altair, Plotly, GGPlot, GeoPandas, and VisPy.
How do I plot a line in matplotlib?To plot a line plot in Matplotlib, you use the generic plot() function from the PyPlot instance. There's no specific lineplot() function - the generic one automatically plots using lines or markers. This results in much the same line plot as before, as the values of x are inferred.
How do you plot a line through a point in Python?MatPlotLib with Python. Set the figure size and adjust the padding between and around the subplots.. To make two points, create two lists.. Extract x and y values from point1 and point2.. Plot x and y values using plot() method.. Place text for both the points.. To display the figure, use show() method.. How do I plot a horizontal line in matplotlib?In matplotlib, if you want to draw a horizontal line with full width simply use the axhline() method. You can also use the hlines() method to draw a full-width horizontal line but in this method, you have to set xmin and xmax to full width.
How do I plot matplotlib in Python?Following steps were followed:. Define the x-axis and corresponding y-axis values as lists.. Plot them on canvas using . plot() function.. Give a name to x-axis and y-axis using . xlabel() and . ylabel() functions.. Give a title to your plot using . title() function.. Finally, to view your plot, we use . show() function.. |