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我有我使用此代码创建一个热图:的Python Plotly - 在热图上标注更改字体的颜色
dfreverse = df_hml.values.tolist()
dfreverse.reverse()
colorscale = [[0, '#FFFFFF'],[0.4, '#F8F8FF'], [1, '#F1C40F']]
x = [threeYr,twoYr,oneYr,Yr]
y = ['March', 'February', 'January', 'December', 'November', 'October', 'September', 'August', 'July', 'June', 'May', 'April']
z = dfreverse
z_text = np.around(z, decimals=2) # Only show rounded value (full value on hover)
fig = ff.create_annotated_heatmap(z, x=x, y=y,annotation_text=z_text, colorscale=colorscale, hoverinfo='none')
# Altering x axis
fig['layout']['xaxis']['tickfont']['family'] = 'Gill Sans MT'
fig['layout']['xaxis']['tickfont']['size'] = 12
fig['layout']['xaxis']['tickfont']['color'] = "black"
fig['layout']['xaxis']['tickangle'] = 0
# Altering x axis
fig['layout']['yaxis']['tickfont']['family'] = "Gill Sans MT"
fig['layout']['yaxis']['tickfont']['size'] = 12
fig['layout']['yaxis']['tickfont']['color'] = "black"
fig['layout']['yaxis']['tickangle'] = 25
# Altering main font
fig['layout']['font'] ["family"] = "Gill Sans MT"
fig['layout']['font']['size'] = 9
plotly.offline.iplot(fig,config={"displayModeBar": False},show_link=False,filename='pandas-heatmap')
正如你可以看到,八月至今年3月可是没有任何数据,因此显示为0.我不能删除这个,否则热图不工作......所以我想我会改变任何0的字体为白色隐藏它们。但我不知道如何做到这一点。
我发现这个代码,改变注释的字体大小,但不知道如何改变它来改变颜色,如果值== 0(为“我”是不是值)
for i in range(len(fig.layout.annotations)):
fig.layout.annotations[i].font.size = 9
嘿那仁再次:)...我将在明天早上,因为我不是在工作,但您的解决方案进行测试比我想要做的更有意义! – ScoutEU
@ScoutEU无需花费时间 –
经过测试。完美的作品。谢谢 :) – ScoutEU