Question

我创建了一个表面图，用于按小时和星期几来显示变量。该情节有效，但我无法将默认刻度文本（0,1,2,3 ...）更改为＆＃34;星期一＆＃34; ＆＃34;星期二＆＃34;等

data = [go.Surface(z=df.values.tolist(), colorscale='Blackbody')]
layout = go.Layout(
    xaxis=dict(
        tickmode = 'Array',
        ticktext = Hours, #'Hours' is a list with 24 str elements e.g. "00:00"
        tickvals = [0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23]
    ),
    yaxis=dict(
        tickmode = 'Array',
        ticktext = Weekdays, ##'Weekdays' is a list with 7 str elements e.g. "Monday"
        tickvals = [0,1,2,3,4,5,6]
    )
)
fig = go.Figure(data=data, layout=layout)
plotly.offline.plot(fig, filename='test.html')

预期 - X轴刻度线：（＆＃34; 00：00＆＃34;，＆＃34; 00：01＆＃34;，...），Y轴刻度线:(＆＃34;星期一＆＃ 34;，＆＃34;星期二＆＃34;，......）。

实际 - X标记：（0,1,2，... 23），Y标记：（0,1,2，... 6）

我的DataFrame是一个简单的日/时矩阵，有24列（小时）和7行（工作日）

df.info()
<class 'pandas.core.frame.DataFrame'>
Index: 7 entries, Monday to Sunday
Data columns (total 24 columns):
00:00    7 non-null float64
01:00    7 non-null float64
02:00    7 non-null float64
---------------------------
21:00    7 non-null float64
22:00    7 non-null float64
23:00    7 non-null float64
dtypes: float64(24)
memory usage: 1.4+ KB

Answer 1

我错过了一个包含xaxis和yaxis的外部字典，解决方案如下：

data = [go.Surface(z=df.values.tolist(), colorscale='Blackbody')]
layout = go.Layout(
    scene=dict(
        xaxis=dict(
            tickmode = "Array",
            ticktext = Hours,
            tickvals = [0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23]
        ),
        yaxis=dict(
            tickmode = "Array",
            ticktext = Weekdays,
            tickvals = [0,1,2,3,4,5,6]
        )
    )
)
fig = go.Figure(data=data, layout=layout)
plotly.offline.plot(fig, filename='test.html')

更改Plotly Surface Plot中的刻度文本

1 个答案: