Search results
Stackplots. #. Stackplots draw multiple datasets as vertically stacked areas. This is useful when the individual data values and additionally their cumulative value are of interest.
16 gru 2021 · Stackplot is used to draw a stacked area plot. It displays the complete data for visualization. It shows each part stacked onto one another and how each part makes the complete figure. It displays various constituents of data and it behaves like a pie chart.
15 mar 2023 · In this tutorial, we'll take a look at how to plot a stack plot in Matplotlib. We'll cover simple stack plots, and how to import and pre-process a dataset, with examples.
Draw a stacked area plot or a streamgraph. See stackplot. import matplotlib.pyplot as plt import numpy as np plt.style.use('_mpl-gallery') # make data x = np.arange(0, 10, 2) ay = [1, 1.25, 2, 2.75, 3] by = [1, 1, 1, 1, 1] cy = [2, 1, 2, 1, 2] y = np.vstack([ay, by, cy]) # plot fig, ax = plt.subplots() ax.stackplot(x, y) ax.set(xlim=(0, 8), ...
Draw a stacked area plot or a streamgraph. Parameters: x(N,) array-like. y(M, N) array-like. The data is assumed to be unstacked. Each of the following calls is legal: stackplot(x, y) # where y has shape (M, N) stackplot(x, y1, y2, y3) # where y1, y2, y3, y4 have length N. Copy to clipboard.
Matplotlib is the most common way to build a stacked area chart with Python. The examples below start by explaining to basics of the stackplot() function. The also describe the most common type of customization like changing colors, controling group order and more.
Python Programming Tutorials. Stack Plots with Matplotlib. In this Matplotlib data visualization tutorial, we cover how to create stack plots. The idea of stack plots is to show "parts to the whole" over time. A stack plot is basically like a pie-chart, only over time.
