markeredgecolor="tab:blue")defformat_axes(ax):ax.margins(0.2)ax.set_axis_off()ax.invert_yaxis...
ax.set_xticklabels() ax.set_xticklabels(['one', 'two', 'three', 'four', 'five'],#设置刻度对应的标签 rotation=30, fontsize='small')#rotation选项设定x刻度标签倾斜30度。 ax.xaxis.set_ticks_position('bottom') ###可批量设置这些参数 props = { 'title': '', 'xlabel': '' }ax.se...
# 添加标题和标签 fig.update_layout(title='Animated Line Plot', xaxis_title='X-axis', yaxis_title='Y-axis', updatemenus=[dict(type='buttons', showactive=False, buttons=[dict(label='Play', method='animate', args=[None, dict(frame=dict(duration=100, redraw=True), fromcurrent=True)])...
而且个人觉得传入字典要更加方便fig = go.Figure(data=[trace0], layout={"title":"这是标题","xaxis_title":"这是x轴","yaxis_title":"这是y轴",# x轴坐标倾斜60度"xaxis": {"tickangle":60}
# Add title and labels fig.update_layout(title='Basic Line Plot', xaxis_title='X-axis', yaxis_title='Y-axis') # Show the plot fig.show() 使用Plotly 创建一个简单的折线图。我们使用 NumPy 生成样本数据,然后使用 Plotly 的go.Scatter创建线图。
fig.update_traces(mode='markers',marker_line_width=2,marker_size=8)fig.update_layout(title='Styled Scatter',yaxis_zeroline=True,xaxis_zeroline=False)fig.show() 2.4 数据悬停Data Labels on Hover 在使用go.Scatter的时候,如何实现悬停时候数据的显示 ...
marker_color='rgba(25, 182, 193, .9)'))# Set options common to all traces with fig.update_traces# 设置整个散点图的大小和间隔fig.update_traces(mode='markers',marker_line_width=2,marker_size=8)fig.update_layout(title='Styled Scatter',yaxis_zeroline=True,xaxis_zeroline=False)fig.show(...
fig_price_sales = go.Figure(data=[go.Pie(labels=las.index, hole =0.7,values=las.values,hoverinfo ="label + percent")],layout=layout) fig_price_sales.update_layout( xaxis=dict(tickmode="linear"), plot_bgcolor="rgba(0,0,0,0)", ...
labels = iris.target #(150,) d = 2 #设置低维空间维数 data_cen = data_src - np.mean(data_src,axis=0) # 样本中心化处理 #用 SVD(奇异值分解) 做PCA def pca_svd(): u, s, v = svd(data_cen) pc_svd = np.dot(data_cen, v[:,0:2]) ...
xaxis = dict( title = 'angle', showgrid = True, zeroline = True, showline = True, showticklabels = True, gridwidth = 1 ), yaxis = dict( showgrid = True, zeroline = True, showline = True, gridcolor = '#bdbdbd', gridwidth = 2, ...