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) ...
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) 1. 2. 该函数常用参...
'Line Plot')x_label=st.text_input('X-axis Label','X-axis')y_label=st.text_input('Y-axis...
plt.pie(x, explode=None, labels=None, colors=None, autopct=None,pctdistance=0.6, shadow=False, labeldistance=1.1, startangle=None,radius=None, counterclock=True, wedgeprops=None, textprops=None,center=(0, 0), frame=False, rotatelabels=False, hold=None, data=None) # 参数说明: # x:数组。
plot(x, y) labels = [item.get_text() for item in ax.get_xticklabels()] labels[0] = '标签1' labels[2] = '标签3' ax.set_xticklabels(labels) plt.show() 这样就可以在Python中修改特定的x轴记号标签了。对于其他的图表操作和设置,可以参考matplotlib的官方文档和示例代码。
x = np.arange(len(labels)) width = 0.35 #条形图宽度 fig = plt.figure(figsize=(8,6)) ax = fig.add_subplot() Afig = ax.bar(x - width/2, A, width, label='Class A') Bfig = ax.bar(x + width/2, B, width, label='Class B') ...
center=(0, 0), frame=False,rotatelabels=False, hold=None, data=None) x:( 每一块 ) 的比例,如果 sum(x) > 1 会使用 sum(x) 归一化。 labels :( 每一块 ) 饼图外侧显示的说明文字。 explode :( 每一块 ) 离开中心距离。 startangle : 起始绘制角度 , 默认图是从 x 轴正方向逆时针画起 ...
plt.pie(x, explode=None, labels=None, colors=None, autopct=None, pctdistance=0.6, shadow=False, labeldistance=1.1, startangle=None, radius=None, counterclock=True, wedgeprops=None, textprops=None, center=(0, 0), frame=False, rotatelabels=False, *, data=None) ...
plt.pie(x,explode=None,labels=None,colors=None,autopct=None,pctdistance=0.6,shadow=False,labeldistance=1.1,startangle=None,radius=None,counterclock=True,wedgeprops=None,textprops=None,center=(0,0),frame=False,rotatelabels=False,hold=None,data=None) ...
rotatelabels=True, period_label={'x':0,'y':0}) 07 动态气泡图 multi_index_df = pd.read_csv("data/multi.csv", header=[0,1], index_col=0) multi_index_df.index = pd.to_datetime(multi_index_df.index, dayfirst=True) map_chart = multi_index_df.plot_animated( ...