ax2.plot(x, y2, color='tab:blue')# Decorations# ax1 (left Y axis)ax1.set_xlabel('Year', fontsize=18)ax1.tick_params(axis='x', rotation=70, labelsize=12)ax1.set_ylabel('Personal Savings Rate', color='#dc2624', fontsize=16)ax1.tick_params(axis='y', rotation=0, labelcolor...
# update approprate traces to use secondary yaxis for t in fig.data: if t.name=="C": t.update(yaxis="y2") for f in fig.frames: for t in f.data: if t.name=="C": t.update(yaxis="y2") # configure yaxis2 and give it some space fig.update_layout(yaxis2={"overlaying":"...
plot(kind='bar') plt.ylabel(u'盈利(元)') p = 1.0*data.cumsum()/data.sum() p.plot(color = 'r', secondary_y = True, style = '-o',linewidth = 2) plt.annotate(format(p[6], '.4%'), xy = (6, p[6]), xytext=(6*0.9, p[6]*0.9), arrowprops=dict(arrowstyle="->", ...
importmatplotlib.pyplot as plt # creating data for plot # data arrangement between 0 and 50 # with the difference of 2 # x-axis x=np.arange(0,7,1) # y-axis values # y1 = x ** 2 # secondary y-axis values # y2 = x ** 3 y1=[13.1660,8.1212,7.3614,6.8263,6.4143,6.1612,5.8441...
data.plot(kind='bar') plt.ylabel(u'盈利(元)') p= 1.0*data.cumsum()/data.sum() p.plot(color='r', secondary_y = True, style ='-o',linewidth = 2) plt.annotate(format(p[6],'.4%'), xy = (6, p[6]), xytext=(6*0.9, p[6]*0.9), arrowprops=dict(arrowstyle="->", con...
secondary_y=False, mark_right=True, **kwds) 1. 2. 3. 4. 5. 6. 7. 8. 1.1 参数介绍 x和y:表示标签或者位置,用来指定显示的索引,默认为None kind:表示绘图的类型,默认为line,折线图 line:折线图 bar/barh:柱状图(条形图),纵向/横向
mpf.make_addplot(df[['middler']],linestyle='dashdot'), mpf.make_addplot(df[['lower']],linestyle='dashdot'), mpf.make_addplot(df['signal_short'].values,type='scatter',markersize=20,marker='v',color='g'), mpf.make_addplot(df['close'].values,panel=2,color='y',secondary_y='au...
X = loans.drop('loan_status', axis=1) y = loans[['loan_status']] y = y.values.ravel() X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=42, stratify=y) scaler = MinMaxScaler() ...
双坐标轴图作为常用的可视化方式之一,可以在同一张图中同时展示两个不同范围的数据,示例如下在matplotib中,有以下两种方式来实现一个双坐标轴图1. secondary_axis系列函数具体包含以下两种函数1.secondary_xaxis2.secondary_yaxis第一个函数用于绘制双x轴的图表,第二个函数用于绘制双y轴的图表,以secondary_yaxis函数...
pltplot(x, y)pltxlabel(＇Day'）pltylabel(＇Sales'）plttitle(＇Daily Sales'）pltshow(）｀｀｀在这段代码中，我们首先导入了`matplotlibpyplot`库并简称为`plt`，还导入了`numpy`库用于生成随机数据。通过`nparange`生成了从1到30的时间序列数据，再用`nprandomrandint`生成了对应的销售额数据。然后使用`...