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 ...
200,150,300,250]fig,ax=plt.subplots(figsize=(10,6))ax.bar(categories,values)ax.set_title('Using setp() to Rotate Labels - how2matplotlib.com')ax.set_xlabel('Products')ax.set_ylabel('Sales')plt.setp(ax.get_xticklabels(),rotation=45,ha='right')plt.tight_layout()plt.show(...
import matplotlib.pyplot as plt import numpy as np # Data + parameters fontsize = 20 t = np.arange(0.0, 6.0, 1) xticklabels = ['Full', 'token emb', 'char emb', 'char LSTM', 'token LSTM', 'feed forward','ANN'] # Plotting fig = plt.figure(1) ax = fig.add_subplot(111) ...
plt.pie(x, explode=None, labels=None, colors=None, autopct=None, pctdistance=0.6, shadow=False, labeldistance=1.1, startangle=0, radius=1, counterclock=True, wedgeprops=None, textprops=None, center=0, 0, frame=False, rotatelabels=False, *, normalize=None, data=None)[source] x:浮点型数...
def pie( x, explode=None, labels=None, colors=None, autopct=None, pctdistance=0.6, shadow=False, labeldistance=1.1, startangle=0, radius=1, counterclock=True, wedgeprops=None, textprops=None, center=(0, 0), frame=False, rotatelabels=False, *, normalize=True, hatch=None, data=None): ...
rotatelabels=False, *, normalize=True, hatch=None, data=None): 常用参数: 参数说明: x参数,labels参数,colors参数的数组长度必须相同,一一对应 explode决定图形显示的方式 autopct举例:%d%% 整数百分比,%0.1f 一位小数, %0.1f%% 一位小数百分比, %0.2f%% 两位小数百分比 ...
plt.pie(x, explode=None, labels=None, colors=None, autopct=None, pctdistance=0.6, shadow=False, labeldistance=1.1, startangle=0, radius=1, counterclock=True, wedgeprops=None, textprops=None, center=0, 0, frame=False, rotatelabels=False, *, normalize=None, data=None)[source] ...
matplotlib.pyplot.pie(x, explode=None, labels=None, colors=None, autopct=None, pctdistance=0.6, shadow=False, labeldistance=1.1, startangle=0, radius=1, counterclock=True, wedgeprops=None, textprops=None, center=0, 0, frame=False, rotatelabels=False, *, normalize=None, data=None) ...
plt.pie(x,explode,labels,colors,autopct,pctdistance,shadow,labeldistance,startangle,radius,counterclock,wedgeprops,textprops,center,frame,rotatelabels,normalize) 制作数据x的饼图,每个楔子的面积用 x/sum(x) 表示; x:一维数组; explode:数组,默认None,表示各个扇形之间的间隔; ...
plt.plot(_x,_y,"b") plt.show() # 以下实例我们绘制一个正弦和余弦图,在 plt.plot() 参数中包含两对 x,y 值,第一对是 x,y,这对应于正弦函数,第二对是 x,z,这对应于余弦函数。 import numpy as np from matplotlib import pyplot as plt ...