Plotly bar chart - change color based on positive/negative value - python(Plotly条形图-根据正/负值更改颜色-python)
本文介绍了Plotly条形图-根据正/负值更改颜色-python的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我有以下代码绘制条形图(1 系列),但如果净"值为正值,我需要将条形着色为蓝色,如果为负值,则将条形着色为红色:
将 pandas 导入为 pd导入 plotly.graph_objectsdf = pd.DataFrame({'网':[15,20,-10,-15],'日期':['07/14/2020','07/15/2020','07/16/2020','07/17/2020']})df['Date'] = pd.to_datetime(df['Date'])fig = go.Figure(data=[go.Bar(name='Net', x=df['Date'], y=df['Net'])])fig.update_layout(barmode='stack')图.show()
解决方案
你可以查看文档
I have the following code which plots a bar chart (1 series), but I need the bars to be coloured blue if the 'Net' value is positive, and red if its negative:
import pandas as pd
import plotly.graph_objects as go
df = pd.DataFrame({
'Net':[15,20,-10,-15],
'Date':['07/14/2020','07/15/2020','07/16/2020','07/17/2020']
})
df['Date'] = pd.to_datetime(df['Date'])
fig = go.Figure(data=[go.Bar(name='Net', x=df['Date'], y=df['Net'])])
fig.update_layout(barmode='stack')
fig.show()
解决方案
You can check documentation here. Full code as following
import pandas as pd
import plotly.graph_objects as go
import numpy as np
# Data
df = pd.DataFrame({
'Net':[15,20,-10,-15],
'Date':['07/14/2020','07/15/2020','07/16/2020','07/17/2020']
})
df['Date'] = pd.to_datetime(df['Date'])
## here I'm adding a column with colors
df["Color"] = np.where(df["Net"]<0, 'red', 'green')
# Plot
fig = go.Figure()
fig.add_trace(
go.Bar(name='Net',
x=df['Date'],
y=df['Net'],
marker_color=df['Color']))
fig.update_layout(barmode='stack')
fig.show()
这篇关于Plotly条形图-根据正/负值更改颜色-python的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持编程学习网!
沃梦达教程
本文标题为:Plotly条形图-根据正/负值更改颜色-python
基础教程推荐
猜你喜欢
- 用于分类数据的跳跃记号标签 2022-01-01
- 何时使用 os.name、sys.platform 或 platform.system? 2022-01-01
- 如何在海运重新绘制中自定义标题和y标签 2022-01-01
- 筛选NumPy数组 2022-01-01
- Python kivy 入口点 inflateRest2 无法定位 libpng16-16.dll 2022-01-01
- 使用PyInstaller后在Windows中打开可执行文件时出错 2022-01-01
- 在 Python 中,如果我在一个“with"中返回.块,文件还会关闭吗? 2022-01-01
- 如何让 python 脚本监听来自另一个脚本的输入 2022-01-01
- 线程时出现 msgbox 错误,GUI 块 2022-01-01
- Dask.array.套用_沿_轴:由于额外的元素([1]),使用dask.array的每一行作为另一个函数的输入失败 2022-01-01