bar_width 用于控制柱子的宽度,确保两组柱子之间有一定的间隔。 运行这段代码后,你将看到一个包含两组并列柱状图的图表,每组柱状图代表一个数据集,通过不同的颜色进行区分,并且带有图例说明。
参考:Place plots side by side in Matplotlib Matplotlib是Python中最流行的数据可视化库之一,它提供了丰富的功能来创建各种类型的图表和绘图。在数据分析和科学研究中,我们经常需要比较多个数据集或展示多个相关的图表。这时,将多个图表并排放置就变得非常有用。本文将详细介绍如何在Matplotlib中实现并排放置多个图表,包括...
histtype: {‘bar’, ‘barstacked’, ‘step’, ‘stepfilled’}, optional, 表明了画出的bar的形状; The type of histogram to draw. ‘bar’ is a traditional bar-type histogram. If multiple data are given the bars are aranged side by side. ‘barstacked’ is a bar-type histogram where mul...
Matplotlib multiple bar charts side by side Here we are going to plot multiple bar charts side by side. For plotting side by side, we have to draw subplots. Let’s see an example of multiple bar charts side by side: # Import Libraryimport numpy as np import matplotlib.pyplot as plt# De...
Stacked Bar Charts:Plot stacked bar charts using plt.bar() with multiple datasets. Grouped Bar Charts:Compare multiple groups side-by-side using grouped bar charts. Annotations:Annotate specific bars or add text using plt.annotate() or plt.text(). ...
IfTrue, multiple data are stacked on top of each other IfFalsemultiple data are aranged side by side if histtype is ‘bar’ or on top of each other if histtype is ‘step’ Default isFalse 输出参数: n: array or list of arrays 每一个 bin的值; ...
plot_bar_graphs(ax, prng, min_value=5, max_value=25, nb_samples=5): """Plot two bar graphs side by side, with letters as x-tick labels. """ x = np.arange(nb_samples) ya, yb = prng.randint(min_value, max_value, size=(2, nb_samples)) width = 0.25 ax.bar(x, ya, ...
There are 2 main ways to build a chart with matplotlib: thepyplot APIand theobject-oriented API. ➡️pyplot API Pyplot is a collection of functions, each function applying a change to a figure. For instance,plt.barh()will build a barplot andplt.title()will add a title to it. ...
bar(school_a_x, middle_school_a)# 分别绘制两个柱状图 plt.bar(school_b_x, middle_school_b) middle_x = [(a + b) / 2.0 for a,b in zip(school_a_x, school_b_x)] ax.set_xticks(middle_x)# 绘制x轴刻度及刻度标签 ax.set_xticklabels(unit_topics) plt.legend(['Middle School A'...
IfTrue, multiple data are stacked on top of each other IfFalsemultiple data are aranged side by side if histtype is ‘bar’ or on top of each other if histtype is ‘step’ Default isFalse 输出参数: n: array or list of arrays 每一个 bin的值; ...