plotly-在两个子图上共享x -axis问题描述 投票:0回答:2但我希望它也从底部图表显示y值,即使我将鼠标悬停在顶部图表上,反之亦然。 这里是我的代码: title = 'Price over time' err = 'Price' fig = make_subplots(rows=2, cols=1, vertical_spacing = 0.05, shared_xaxes=
Plotly的子图功能允许我们将多个图表组合在一起,并实现多图联动的效果。 通过共享 x 轴,我们可以确保K 线图和成交量柱状图在时间上保持一致。 以下是使用子图实现多图联动的代码示例: from plotly.subplots import make_subplots # 创建子图 fig = make_subplots( rows=2, cols=1, shared_xaxes=True, vertical_sp...
直接上代码 # import akshare as ak import datetime import pandas as pd import plotly.graph_objects as go from plotly.subplots import make_subplots def get_stock_price(share,start_date="20170301",end_date="20210218"): # 获取个股行情数据 stock_zh_a_hist_df = ak.stock_zh_a_hist(symbol=sha...
# Create subplots and mention plot grid size fig = make_subplots(rows=2, cols=1, shared_xaxes=True, vertical_spacing=0.03, subplot_titles=('', '成交量'), row_width=[0.2, 0.7]) # 绘制k数据 fig.add_trace(go.Candlestick(x=data["date"], open=data["open"], high=data["high"]...
Figures with subplots are created using the make_subplots function from the plotly.subplots module. 参数详解 代码语言:javascript 代码运行次数:0 运行 AI代码解释 make_subplots(rows=1, cols=1, shared_xaxes=False, shared_yaxes=False, start_cell='top-left', print_grid=False, horizontal_spacing=...
实现方法是共享x轴 importplotlyaspyfromplotlyimportgraph_objectsasgofromplotly.subplotsimportmake_subplots fig = make_subplots(rows=2,cols=1, shared_xaxes=True# 这一步是关键) price_trace = go.Scatter(x=data['datetime'], y=data['close_price'], ...
plotly.subplots.make_subplots(rows=1, cols=1, shared_xaxes=False, shared_yaxes=False, start_cell='top-left', print_grid=False, horizontal_spacing=None, vertical_spacing=None, subplot_titles=None, column_widths=None, row_heights=None, specs=None, insets=None, column_titles=None, row_...
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。 示例2:带颜色梯度的散点图 ...
创建3行1列的子图布局 fig = make_subplots( rows=3, cols=1, shared_xaxes=True, # 共享x轴 vertical_spacing=0.05, # 子图间距 subplot_titles=("价格趋势", "成交量", "RSI 指标"), ) # 2. 添加价格走势图 fig.add_trace( go.Candlestick( x=df["date"], open=df["price"] * 0.99, ...
Y, X = np.meshgrid(x, y) u = -1 - X**2 + Y v = 1 + X - Y**2 fig2 = ff.create_streamline(x, y, u, v, arrow_scale=.1, name='Steamline') for i in range(len(fig1.data)): fig1.data[i].xaxis='x1' fig1.data[i].yaxis='y1' ...