yticks(y_pos, categories) plt.xlabel('Values') plt.title('Horizontal Bar Chart with Error Bars - how2matplotlib.com') plt.tight_layout() plt.show() Python CopyOutput:这个例子展示了如何在水平条形图中添加误差条,这在展示科学数据或统计结果时特别有用。
barh()函数支持添加误差条: importmatplotlib.pyplotaspltimportnumpyasnp categories=['A','B','C','D']values=[20,35,30,25]error=[2,3,4,1]plt.figure(figsize=(10,6))plt.barh(categories,values,xerr=error,capsize=5)plt.title('Horizontal Bar Chart with Error Bars - how2matplotlib.com')...
该示例只是介绍简单的动态条形图绘制,更加精美的条形图绘制可使用: bar_chart_race或 pandas_alive。 import pandas as pd import matplotlib.pyplot as plt import matplotlib.ticker as ticker from matplotlib.animation import FuncAnimation import matplotlib.patches as mpatches # 定义一个函数,用于生成颜色列表 de...
2,figsize=(12,6))# 绘制条形图ax1.bar(categories,values)ax1.set_title('Bar Chart - how2matplotlib.com')# 创建表格data=list(zip(categories,values))ax2.axis('off')ax2.table(cellText=data,colLabels=['Category','Value'],loc='center')ax2.set_title('Data Table - how2matplotlib....
bar()的第一个參数为每根柱子左边缘的横坐标;第二个參数为每根柱子的高度;第三个參数指定全部柱子的宽度,当第三个參数为序列时,能够为每根柱子指定宽度。bar()不自己主动改动颜色。 n = np.array([0,1,2,3,4,5]) x= np.linspace(-0.75, 1., 100) ...
values = data['values']## 提取其中的values数组,数据的存在位置 label = ['第一产业','第二产业','第三产业']## 刻度标签 plt.figure(figsize=(6,5))## 设置画布 plt.bar(range(3),values[-1,3:6],width = 0.5)## 绘制散点图 plt.xlabel('产业')## 添加横轴标签 ...
bar_width = 0.4 # Initialize the vertical-offset for the stacked bar chart. y_offset = np.array([0.0] * len(columns)) # Plot bars and create text labels for the table cell_text = [] for row in range(n_rows): plt.bar(index, data[row], bar_width, bottom=y_offset, color=colors...
Demonstrates one way of embedding Matplotlib figures into a PySimpleGUI window. Paste your Pyplot code into the section marked below. Do all of your plotting as you normally would, but do NOT call plt.show(). Stop just short of calling plt.show() and let the GUI do the rest. The rema...
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In this example, we first import pyplot and define the values of x and y as lists. We then use theplot()function to create the plot and theshow()function to display it. The resulting plot should display a line graph with x and y values. ...