fig.add_annotation( x=3, y=4, text='Sample Text', showarrow=False, font=dict( family='Arial', size=14, color='black' ) ) # 设置图表布局 fig.update_layout( title='Plot with Text on Shape', xaxis_title='X-axis', yaxis_title='Y-axis', legend=dict( x=0, y=1, traceorder...
( title='2D Scatter Plot', xaxis=dict(title='X-axis'), yaxis=dict(title='Y-axis') ) data = [go.Scatter(x=x, y=y, mode='markers', name='Data'), go.Scatter(x=[0, 1, 2], y=[5, 2, -1], mode='markers', name='P'), go.Scatter(x=x, y=y, mode='lines', name=...
一.非填充类的标记符号(Unfilled Markers),这个类标记符号一个单一的实体，只能使用一种填充颜色；二.填...
error=df2,text={"x":"X","y":"Y"}) test.plot() # 添加统计注释 annotation_list = [[...
Plot area, chart type, annotation等可根据需要进行调整。下面的两个例子。 # data we'd like to plot important_features = ['LotArea', 'OverallQual', 'GrLivArea', 'GarageCars', 'GarageArea', 'TotalBsmtSF', '1stFlrSF', 'FullBath', 'TotRmsAbvGrd', 'YearBuilt','YearRemodAdd', 'Sale...
. Theggplotly()function itself has some convenient “high-level” arguments, such asdynamicTicks, which tells plotly.js to dynamically recompute axes, when appropriate. Thestyle()function also comes in handy formodifyingthe underlying trace attributes (e.g.hoveron) used to generate the plot:...
On Windows 11/10 (no plot output in Jupyter Notebook, just a blank space) I get: KeySet for a Dict{String, Union{String, JSON.Writer.JSONText}} with 1 entry. Keys: "text/plain" On my Ubuntu Linux, which does display the plot, the keys(...) output gives the same text as Window...
plt.plot(x,y,ls=,lw=,c=,marker=,markersize=,markeredgecolor=,markerfacecolor, label=) x:x轴上的数值 y: y轴上的数值 ls:折线的风格 lw:线条宽度 c:颜色 marker:线条上点的形状 markersize:线条上点的形状的大小 markeredgecolor:点的边框色 ...
绘制数据对左侧 y 轴的图。...x = linspace(0,25); y = sin(x/2); yyaxis left plot(x,y); 绘制数据对右侧 y 轴的图。使用 yyaxis right 激活右侧。...然后,绘制一组数据对右侧 y 轴的图。...新图与对应的 y 轴使用相同的颜色,并循环使用线型序列。hold on 命令同时影响左右两侧。 2.1K10...
You successfully sent some data to your account on plotly. View your plot in your browser at https://plot.ly/~lathkar/0 在显示的图表上方,您会找到绘图、数据、Python 和 Rand 分叉历史选项卡。 当前,选择了绘图选项卡。数据选项卡显示包含 x 和y数据点的网格。从Python & R 选项卡中,您...