Python:更改 Plotly 中的自定义控件值

Question

我想将 slider 值从“步骤 0、...、步骤 3”更改为“日期”列中的日期值“19/11/2019,..., 21/11/2019” .

除此之外，在 slider 左侧稍上方有一个计数器，显示“频率:步骤 X”，而不是“步骤 X”，我希望将其更改为动态显示“日期 X”，其中X 显示“日期”列中的列值。

这是我的数据集

+------------+---+---+---+---+
|    Date    | A | B | C | D |
+------------+---+---+---+---+
| 19/11/2012 | 1 | 3 | 4 | 5 |
| 20/11/2012 | 3 | 2 | 3 | 2 |
| 21/11/2012 | 1 | 2 | 2 | 2 |
+------------+---+---+---+---+

这是我的代码。

# imports
import plotly.graph_objects as go
import pandas as pd

# sample data
dat=pd.DataFrame(dict(Date=['19/11/2012', '20/11/2012', '21/11/2012'],
                    A=[1,3,1],
                    B=[3,2,2],
                    C=[4,3,2],
                    D=[5,2,2],))

# Create figure
fig = go.Figure()

# Add traces, one for each slider step
for step in np.arange(len(dat['Date'])):
    fig.add_trace(
        go.Scatter(
            visible=False,
            line=dict(color="#00CED1", width=6),
            name="𝜈 = " + str(step),
            x=['A','B','C','D'],
            y=dat.iloc[step,1::]))

# Make 10th trace visible


# Create and add slider
steps = []
for i in range(len(fig.data)):
    step = dict(
        method="restyle",
        args=["visible", [False] * len(fig.data)],
    )
    step["args"][1][i] = True  # Toggle i'th trace to "visible"
    steps.append(step)

sliders = [dict(
    active=1,
    currentvalue={"prefix": "Frequency: "},
    pad={"t": 50},
    steps=steps
)]

fig.update_layout(
    sliders=sliders
)

fig.show()

这是我的代码的输出:

如您所见，圆圈部分是“Frequency: Step X”计数器，尖头部分是 slider 。

Answer 1

这应该可以做到:

# Edit slider labels
fig['layout']['sliders'][0]['currentvalue']['prefix']='Date: '
for i, date in enumerate(dat['Date'], start = 0):
    fig['layout']['sliders'][0]['steps'][i]['label']=date

plotly :

代码:

dat=pd.DataFrame(dict(Date=['19/11/2012', '20/11/2012', '21/11/2012'],
                    A=[1,3,1],
                    B=[3,2,2],
                    C=[4,3,2],
                    D=[5,2,2],))

# Create figure
fig = go.Figure()

# Add traces, one for each slider step
for step in np.arange(len(dat['Date'])):
    fig.add_trace(
        go.Scatter(
            visible=False,
            line=dict(color="#00CED1", width=6),
            name="𝜈 = " + str(step),
            x=['A','B','C','D'],
            y=dat.iloc[step,1::]))

# Create and add slider
steps = []
for i in range(len(fig.data)):
    step = dict(
        method="restyle",
        args=["visible", [False] * len(fig.data)],
    )
    step["args"][1][i] = True  # Toggle i'th trace to "visible"
    steps.append(step)

sliders = [dict(
    active=1,
    currentvalue={"prefix": "Frequency: "},
    pad={"t": 50},
    steps=steps
)]

fig.update_layout(
    sliders=sliders
)

# Edit slider labels
fig['layout']['sliders'][0]['currentvalue']['prefix']='Date: '
for i, date in enumerate(dat['Date'], start = 0):
    fig['layout']['sliders'][0]['steps'][i]['label']=date

fig.show()