pip install matplotlib 复制代码 导入所需的库: import numpy as np import matplotlib.pyplot as plt 复制代码 准备数据。对于每条曲线,你需要定义其x和y坐标。可以使用NumPy的linspace和meshgrid等函数来生成数据。 例如,绘制两条曲线,一条是y = 2x + 1,另一条是y = 3x -
1、同时去掉x,y轴 2、仅去掉y轴 3、仅去掉x轴 1、同时去掉x,y轴 plt.axis('off') 1. 2、仅去掉y轴 frame = plt.gca() # y 轴不可见 frame.axes.get_yaxis().set_visible(False) #or plt.yticks([]) 1. 2. 3. 4. 5. 6. 3、仅去掉x轴...
import matplotlib.pyplot as plt f=plt.figure() ax=f.add_subplot(111) ax.set(xlim=[0.5,4.5],ylim=[-2,8],title='An Example Axes',ylabel='Y-Axis',xlabel='X-Axis') plt.show() 1. 2. 3. 4. 5. 上的代码,在一幅图上添加了一个Axes,然后设置了这个Axes的X轴以及Y轴的取值范围(这些...
本文主要讲述python主流绘图工具库的使用,包括matplotlib、seraborn、proplot、SciencePlots。以下为本文目录: 2.1 Matplotlib2.1.1 设置轴比例2.1.2 多图绘制2.2 Seaborn2.2.1 lmplot2.2.2 histplot2.2.3 violi…
plt.axis([xmin, xmax, ymin, ymax]) 上面例子里的axis()命令给定了坐标范围。 xlim(xmin, xmax)和ylim(ymin, ymax)来调整x,y坐标范围 %matplotlib inline import numpy as np import matplotlib.pyplot as plt from pylab import * x = np.arange(-5.0, 5.0, 0.02) ...
要使用定位器和格式器,需要先从matplotlib.ticker模块导入类AutoMinorLocator、MultipleLocater和FuncFormatter。接下来构建一个Figure画布对象并向画布添加一个1行1列的子区,从而生成一个Axes实例ax,再分别设置x轴和y轴的主刻度线位置,其中ax.xaxis和ax.yaxis分别获得x轴实例和y轴实例。 import matplotlib.pyplot as ...
from matplotlib import pyplot as plt from matplotlib import style style.use('ggplot') x = ['2016','2017','2018'] y = [1252,1632,1692] plt.bar(x, y, align='center') plt.title('Dummy Movies Info') plt.ylabel('Number of Movies Released') ...
print(*zip(x, y)) Plotting Shapely Polygons in Matplotlib On to the main point of this tutorial. Now that we know how to create Polygons, lets plot them using Matplotlib. We cannot plot a Polygon directly, rather we need to acquire its coordinate pairs, which we can then pass to Matp...
Read:Matplotlib invert y axis Matplotlib time series multiple bar plot In this section, we’ll learn to plot time series plots using multiple bar charts. Here we plot the chart which shows the number of births in specific periodic. Let’s see an example: ...
import matplotlib.pyplot as plt# Create subplotsfigure, ax = plt.subplots(figsize=(4,5))# Data Coordinatesx = np.linspace(0, 20, 80) y = np.sin(x)# GUIplt.ion()# Plotplot1, = ax.plot(x, y)# Labelsplt.xlabel("X-Axis",fontsize=18) ...