如何为绘图图表的高于和低于 0 的值制作不同的颜色条

Question

我已经通过 plotly 生成了一个条形图，我怎样才能使 0 以上的条形图为绿色，而 0 以下的条形图为红色？

import plotly
import plotly.graph_objs as go
plotly.offline.init_notebook_mode(connected=True)
trace1 = go.Bar(
    x=df.symbol,
    y=df["percentageChange30dBtc"],

    name='Top10',
    marker = dict(color = 'rgba(63, 195, 128, 1)', 
                              line = dict(color='rgb(0,0,0)',width=1.5)),
   text=df.percentageChange30dBtc,
        textposition='outside'
)
##rgba(252, 214, 112, 1),'rgba(255,174,255,0.5)'
data = [trace1]
plotly.offline.iplot({
    "data": data,
    "layout": go.Layout(barmode='group', yaxis=dict(tickformat=".0%"),title="24H Change Binance"  #tickformat=".0%"
     ,width=800,height=600,)
})

Answer 1

您可以在标记上传递颜色列表， （假设 df["percentageChange30dBtc"] 值是数字，如果字符串以% 结尾，则使用float(x.replace('%',''))>0 而不是x>0

import plotly
import plotly.graph_objs as go
plotly.offline.init_notebook_mode(connected=True)
trace1 = go.Bar(
    x=df.symbol,
    y=df["percentageChange30dBtc"],

    name='Top10',
    marker = dict(color = ['rgba(63, 195, 128, 1)' if x>0 else 'rgba(219, 10, 91, 1)' for x in df["percentageChange30dBtc"]], 
                 line = dict(color='rgb(0,0,0)',width=1.5)),
   text=df.percentageChange30dBtc,
        textposition='outside'
)
##rgba(252, 214, 112, 1),'rgba(255,174,255,0.5)'
data = [trace1]
plotly.offline.iplot({
    "data": data,
    "layout": go.Layout(barmode='group', yaxis=dict(tickformat=".0%"),title="24H Change Binance"  #tickformat=".0%"
     ,width=800,height=600,)
})