May 2, 2018 · Plotting shaded uncertainty region in line plot in matplotlib when data has NaNs. Ignoring the smooth interpolation between points in your example graph (that would require doing some manual interpolation, or just have a higher resolution of your data), you can use pyplot.fill_between(): See also the matplotlib examples. Perfect.

Plot y versus x as lines and/or markers with attached errorbars. x, y define the data locations, xerr, yerr define the errorbar sizes. By default, this draws the data markers/lines as well as the errorbars. Use fmt='none' to draw errorbars without any data markers.

Jul 20, 2014 · I'm searching for a way to draw shaded error-regions instead of error-bars in Python. I know that there is matplotlib.pyplot.fill_between() with which you can build a workaround for the y-error but that does not include the x-uncertainty.

Mar 27, 2019 · So here I give an example of how to compute and draw an error band based on the random variations of 25 y variables, and I use these same variations to create y error bars on top of the band. The same logic would apply to variations/errors on the x-axis.

This example illustrates how to draw an error band around a parametrized curve. A parametrized curve x (t), y (t) can directly be drawn using plot. An error band can be used to indicate the uncertainty of the curve.

Plot y versus x as lines and/or markers with attached errorbars. See errorbar.

Nov 6, 2024 · How Can You Plot Error as Shaded Regions in Matplotlib? To achieve shaded regions in Matplotlib, you can employ the fill_between function, which allows you to fill the area between two horizontal curves.

Apr 11, 2025 · Error bars can be applied in two main orientations: Vertical Error Bars: Applied when the uncertainty is along the y-axis (dependent variable). Horizontal Error Bars: Used when the uncertainty lies along the x-axis (independent variable). If both axes have uncertainty, error bars can be applied to both axes simultaneously.

Dec 14, 2024 · In this guide, we'll explore how to use plt.errorbar() in Matplotlib to create professional error bar plots. Basic Syntax and Parameters. The plt.errorbar() function allows you to plot data points with error bars indicating the uncertainty range. Let's look at a simple example:

Apr 18, 2023 · Use error bars in a Matplotlib scatter plot When visualizing data, error bars provide a great way to indicate variability or uncertainty in your measurements. In this article, we’ll explore how to create scatter plots with error bars using Matplotlib's errorbar() function.