【发布时间】:2021-06-21 05:17:10
【问题描述】:
我阅读了plotly.express.bar 的文档,我认为color_discrete_map 是相关的,但我不知道如何应用它。
如您所见,图中有 6 种颜色,我想为每种颜色分配一个文本。
def update_figure_profits(df0,
label,
xlabel=None,
ylabel=None,
title=None,
percent_fmt=False):
c = ['#636EFA', '#EF553B', '#00CC96',
'#AB63FA', '#FFA15A', '#19D3F3'] * 3
df = df0[[label, 'name']].copy()
fig = px.bar(df,
x=range(len(df)),
y=label,
color=c,
)
fig.update_layout(xaxis=dict(
tickmode='array',
tickvals=list(range(18)),
ticktext=['', '', 'کامل', '', '', ''] + ['', '', 'متغیر', '', '', ''] +
['', '', 'فرامتغیر', '', '', '']
)
)
fig.update_layout(xaxis_title=xlabel,
yaxis_title=ylabel,)
fig.update_layout(title_text=title, title_x=0.5)
return fig
数据看起来像这样:
id name cost sell profit profit_margin efficiency_on_fixed_asset costing_type
0 1000 سنگِ آهن 4.794900e+06 13759200 8.964300e+06 0.651513 0.664022 full
1 2000 کنسانتره 1.155342e+07 22464000 1.091058e+07 0.485692 0.808191 full
2 3000 گندله 1.470069e+07 32993999 1.829331e+07 0.554443 1.355060 full
3 4000 آهنِ اسفنجی 2.669225e+07 70200000 4.350775e+07 0.619768 3.222796 full
4 5000 شمش 5.577847e+07 140400000 8.462153e+07 0.602717 6.268262 full
5 6000 نوردِ گرم 6.269642e+07 155984400 9.328798e+07 0.598060 6.910220 full
6 1000 سنگِ آهن 3.863700e+06 13759200 9.895500e+06 0.719192 0.733000 variable
7 2000 کنسانتره 8.976960e+06 22464000 1.348704e+07 0.600385 0.999040 variable
8 3000 گندله 1.097908e+07 32993999 2.201492e+07 0.667240 1.630735 variable
9 4000 آهنِ اسفنجی 1.932668e+07 70200000 5.087332e+07 0.724691 3.768394 variable
10 5000 شمش 3.871631e+07 140400000 1.016837e+08 0.724243 7.532125 variable
11 6000 نوردِ گرم 4.260937e+07 155984400 1.133750e+08 0.726836 8.398151 variable
12 1000 سنگِ آهن 1.123200e+06 13759200 1.263600e+07 0.918367 0.936000 supervariable
13 2000 کنسانتره 4.164883e+06 22464000 1.829912e+07 0.814597 1.355490 supervariable
14 3000 گندله 5.850284e+06 32993999 2.714371e+07 0.822686 2.010646 supervariable
15 4000 آهنِ اسفنجی 1.052448e+07 70200000 5.967552e+07 0.850079 4.420409 supervariable
16 5000 شمش 2.459279e+07 140400000 1.158072e+08 0.824838 8.578312 supervariable
17 6000 نوردِ گرم 2.535339e+07 155984400 1.306310e+08 0.837462 9.676371 supervariable
感谢您的指导。
【问题讨论】:
标签: plotly-python