x=np.arange(7)y=[3,7,2,5,8,1,6]plt.figure(figsize=(10,6))plt.plot(x,y,marker='o')plt.xticks(x,['Monday','Tuesday','Wednesday','Thursday','Friday','Saturday','Sunday'],rotation=45)plt.title('Weekly Data with 45-degree Rotated X-axis Labels - how2matplotlib.com')plt.xlab...
x=np.arange(5)y=[2,4,1,5,3]plt.figure(figsize=(10,6))plt.bar(x,y)plt.xticks(x,['Category A','Category B','Category C','Category D','Category E'],rotation=45)plt.title('How to Rotate X-Axis Labels in Matplotlib - how2matplotlib.com')plt.tight_layout()plt.show() Python ...
plt.xticks(rotation=45, ha="right", rotation_mode="anchor")#rotate the x-axis values plt.subplots_adjust(bottom =0.2, top =0.9)#ensuring the dates (on the x-axis) fit in the screen plt.ylabel('No of Deaths') plt.xlabel('Dates...
import matplotlib.pyplot as plt import numpy as np # 准备数据 x = np.arange(10) y = np.sin(x) # 创建一个图表并添加数据 plt.plot(x, y) # 设置x轴标签旋转角度 plt.xticks(rotation=45) # 显示图表 plt.show() # 可选:保存图表 # plt.savefig('rotated_xaxis_labels.png') 这段代码...
# xticks第一个参数代表了每个 plt.xticks([i+(space*(rows_num/2))foriinrange(len(data["影片名"]))],data["影片名"].values.tolist()) plt.show() 叠加柱状图 barh 额外学习plt.text()和plt.legend(ncol参数) plt.legend(loc="upper center",ncol=3)默认图标是上下叠放,ncol代表图标水平排列,...
条形图可以利用plt.bar()(axis.bar())对象,默认是垂直条形。水平条形图可以利用plt.barh() 语法:plt.bar(x, height, width, bottom=None, *, align='center', data=None, **kwargs) 参数说明: x : 每个条形的 X 坐标标签(向量) height : 每个条形的高度(与 X 对应的向量)高度可以负数哦(图倒过来...
x_labels=['Label1','Label2','Label3','Label4','Label5']plt.plot(x,y)plt.title('Sine Wave with Rotated Labels')plt.xlabel('X Axis')plt.ylabel('Y Axis')# 自定义横坐标刻度plt.xticks(ticks=x,labels=x_labels,rotation=45)plt.show() ...
rotatelabels,标签是否旋转到相应楔形的角度,bool, default: False 返回值:patches、texts、autotexts # make data x = [0.5, 2, 3, 4] colors = plt.get_cmap('Blues')(np.linspace(0.2, 0.7, len(x))) # plot fig, ax = plt.subplots(figsize=(10,10)) ...
plt.xticks(rotation=45, ha="right", rotation_mode="anchor") #rotate the x-axis values plt.subplots_adjust(bottom = 0.2, top = 0.9) #ensuring the dates (on the x-axis) fit in the screen plt.ylabel('No of Deaths') plt.xlabel('Dates') ...
importnumpyasnpimportmatplotlib.pyplotaspltcolor=['red','green','blue','orange']fig=plt.figure()plt.xticks(rotation=45,ha="right",rotation_mode="anchor")#rotate the x-axis values plt.subplots_adjust(bottom=0.2,top=0.9)#ensuring thedates(on the x-axis)fitinthe screen ...