fig,ax=plt.subplots()# 设置x轴标签ax.xaxis.set_label_text('X Axis - how2matplotlib.com')# 获取并打印x轴标签x_label=ax.xaxis.get_label_text()print(f"X轴标签:{x_label}")# 设置y轴标签ax.yaxis.set_label_text('Y Axis - how2matplotlib.com')# 获取并打印y轴标签y_labe...
fig,ax=plt.subplots()ax.set_title("How2matplotlib.com - Label Position Manipulation")# 初始位置print(f"Initial X position:{ax.xaxis.get_label_position()}")print(f"Initial Y position:{ax.yaxis.get_label_position()}")# 改变位置ax.xaxis.set_label_position('top')ax.yaxis...
fig, ax = plt.subplots(figsize=(3.5,2.5))x = np.linspace(1, 10)ax.plot(x , x+2, label='$y=x+2$')ax.plot(x, x*x, label='$y=x^2$')ax.plot(x, 4*x*x + 3*x + 1, label='$y=4x^2+3x+1$')ax.legend() 水平线和垂直线 fig, (ax1,ax2) = plt.subplots(ncols=2...
1. 设置x轴和y轴label的位置: fig = plt.figure() axes = fig.add_subplot(111) axes.plot(np.random.randn(10)) axes.set_xlabel("x coordate") # 设置x轴label的位置为(0.-0.1) axes.xaxis.set_label_coords(0,-0.1) 2. 设置刻度上的刻度格式: import matplotlib.ticker as ticker fig = plt...
axes.xaxis.set_label_coords(0,-0.1) 2. 设置刻度上的刻度格式: importmatplotlib.ticker as ticker fig =plt.figure() axes = fig.add_subplot(111) axes.plot(np.random.randn(10)) axes.set_xlabel("x coordate") # 创建格式化对象 formatter = ticker.FormatStrFormatter('%.2f') ...
import matplotlib.pyplot as plt # 创建一个简单的图表 plt.figure() plt.plot([1, 2, 3], [4, 5, 6]) # 添加字幕 plt.title('这是一个示例图表') # 关闭坐标轴,但保留字幕 plt.gca().set_axis_off() # 关闭当前轴(axis) plt.subplots_adjust(top=0.8) # 调整子图参数,为字幕留出空间 # ...
plt.xlabel("This is the x-label") # Defining the label along the y-axis plt.ylabel("This is the y-label") # Defining the title of the plot plt.title("Demonstrating how to hide axis in matplotlib") # Displaying the plot plt.show() ...
Technically x/y is documented via the Text properties in kwargs (https://matplotlib.org/devdocs/api/_as_gen/matplotlib.axes.Axes.set_xlabel.html). I'm in favor of a new loc='left' instead of x='left'. On the downside, we have another parameter that interacts with x and horizontalali...
Using matplotlib with Seaborn's FacetGrid. Before upgrade to 2.0, setting the x,y position of the y-axis label worked. Now only y-position is respected. import seaborn as sns import matplotlib.pyplot as plt g = (sns.FacetGrid(df, col="pr...
ax2.yaxis.label.set_fontsize(14) #ax2.tick_params(axis='y', colors=p2.get_color(), labelsize=14) # set up the 3rd axis ax3 = ax1.twinx() # Offset the right spine of ax3. ax3.spines.right.set_position(("axes", 1.25)) ...