密谋Python-热图-更改悬浮文本（x，y，z）

我在python中用图完成了一个热图。悬浮文本可以完美运行，但是每个变量都以x，y或z为前缀，如下所示：

可以通过任何方式更改此值，即x =“ FY”，y =“ Month”和z =“ Count”

这是产生上面的热图的代码

dfreverse = df_hml.values.tolist()
dfreverse.reverse()

colorscale = [[0, '#454D59'],[0.5, '#FFFFFF'], [1, '#F1C40F']]

trace = go.Heatmap(z=dfreverse,
                   colorscale = colorscale,
                   x = [threeYr,twoYr,oneYr,Yr],
                   y=['March', 'February', 'January', 'December', 'November', 'October', 'September', 'August', 'July', 'June', 'May', 'April'])
data=[trace]



layout = go.Layout(
    autosize=False,
    fOnt=Font(
        family="Courier New",
    ),
    width=700,
    height=450,
    margin=go.Margin(
        l=150,
        r=160,
        b=50,
        t=100,
        pad=3
    ),
)

fig = go.Figure(data=data, layout=layout)
plotly.offline.iplot(fig,filename='pandas-heatmap')

谢谢！

您可以通过将hoverinfo设置为来自定义hoverinfo text，然后输入所需的内容。

hoverinfo的文本必须是列表列表。第一个索引是y值，第二个索引是x值。

import plotly
import random
plotly.offline.init_notebook_mode()

colorscale = [[0, '#454D59'],[0.5, '#FFFFFF'], [1, '#F1C40F']]

x = [2015, 2016, 2017]
y = ['March', 'February', 'January', 'December', 'November', 'October', 'September', 'August', 'July', 'June', 'May', 'April']
z = [[i + random.random() for i in range(len(x))] for ii in range(len(y))]

hovertext = list()
for yi, yy in enumerate(y):
    hovertext.append(list())
    for xi, xx in enumerate(x):
        hovertext[-1].append('FY: {}
Month: {}
Count: {}'.format(xx, yy, z[yi][xi]))

data = [plotly.graph_objs.Heatmap(z=z,
                                  colorscale=colorscale,
                                  x=x,
                                  y=y,
                                  hoverinfo='text',
                                  text=hovertext)]

layout = plotly.graph_objs.Layout(autosize=False,
                                  fOnt=dict(family="Courier New"),
                                  width=700,
                                  height=450,
                                  margin=plotly.graph_objs.Margin(l=150,
                                                                  r=160,
                                                                  b=50,
                                                                  t=100,
                                                                  pad=3)
                                 )

fig = plotly.graph_objs.Figure(data=data, layout=layout)
plotly.offline.iplot(fig,filename='pandas-heatmap')