import numpy as np import matplotlib.pyplot as plt x = np.linspace(-np.pi, np.pi, 300) y = np.cos(x) plt.plot(x, y) plt.text(0, 0.75, r'max', fontdict = { 'family': 'Times New Roman', # 标注文本字体 'fontsize': 20, # 文本大小 'fontweight': 'bold', # 字体粗细 'f...
→ plt.get_cmap(“viridis”, 10) … show a figure for one second? → fig.show(block=False), time.sleep(1) ax.grid() ax.patch.set_alpha(0) ax.set_[xy]lim(vmin, vmax) ax.set_[xy]label(label) ax.set_[xy]ticks(list) ax.set_[xy]ticklabels(list) ax.set_[sup]title(title) ...
#make_snapshot(snapshot, bar.render(), "bar.png") #生成图片
ax.set_title('Earnings Based on Experience and Age', loc='right', fontsize=14, fontweight='bold', color='Gray') # Set the x and y labels fontweight and colour ax.set_xlabel('Age [Years]', fontweight='bold', color="Gray") ax.set_ylabel('Experience [Years]', fontweight='bold...
fontweight=’bold’ #字体加粗 设置坐标轴位置 默认坐标轴是4个边框,左边和下边的边框显示数值,用下面的方法改为4个象限 方法一: x =np.arange(-10,10,0.1) y = np.sin(x) ax1 = plt.subplot(111) ax1.plot(x,y) ax1.spines['left'].set_position(('data',0)) #左边框位置移到0,y轴 ...
# Changing font to stix; setting specialized math font properties as directly as possible ...
d=pd.DataFrame(np.random.random((5,5)),columns=["A","B","C","D","E"]).round(2)fig,ax=plt.subplots(figsize=(6,5))# index列的文字居中,加粗# 列A的文本数值改为百分制tab=Table(d,column_definitions=[ColumnDefinition(name="index",textprops={"ha":"center","weight":"bold"}),Colu...
# Changing font to stix; setting specialized math font properties as directly as possible ...
function Example\n\n', fontweight ="bold") fig.canvas.draw() plt.show() 输出: 范例2: # Implementation of matplotlib functionimportnumpyasnpimportmatplotlib.pyplotasplt# Fixing random state for reproducibilitynp.random.seed(19680801) x = np.linspace(0,2* np.pi,100) ...
( name="Team", textprops={"ha": "left", "weight": "bold"}, width=1.5, ), ColumnDefinition( name="Group", textprops={"ha": "center"}, width=0.75, ), ColumnDefinition( name="SPI", group="Team Rating", textprops={"ha": "center"}, width=0.75, ), ColumnDefinition( name="OFF"...