python - 有没有办法使用plotly在python中创建范围图？

Question

我能够创建一个简单的点图，但需要一种方法来连接这些点。

Answer 1

我稍微编辑了 @r-beginners code为了将颜色渐变添加到线条、注释及其颜色。关于颜色渐变，如曝光here :

This feature is not yet available for 2D line plots, it is currentlyonly available for 3D line plots, seehttps://github.com/plotly/plotly.js/issues/581. It is however possibleto use a colorscale in a 2D plot if you use markers instead of lines,see the example below.

这是我的代码:

import pandas as pd
import numpy as np
import plotly.graph_objects as go

df = pd.DataFrame({'Grade': ["Doctorate Degree",
                             "Master's Degree",
                             "Bachelor's Degree",
                             "Associate Degree",
                             "Some college, no degree",
                             "Hight School",
                             "9th 12th(no degree)",
                             "Less Than 9th Grade"],
                   'Women': [91, 69, 54, 38, 35, 29, 22, 21],
                   'Men': [151, 99, 84, 56, 53, 47, 37, 34]})

w_lbl = list(map(lambda x: str(x), df['Women']))
m_lbl = list(map(lambda x: str(x), df['Men']))

fig = go.Figure()

for i in range(0, len(df)):

    fig.add_trace(go.Scatter(x = np.linspace(df['Women'][i], df['Men'][i], 1000),
                             y = 1000*[df['Grade'][i]],
                             mode = 'markers',
                             marker = {'color': np.linspace(df['Women'][i], df['Men'][i], 1000),
                                       'colorscale': ['#E1A980', '#8DAEA6'],
                                       'size': 8}))

fig.add_trace(go.Scatter(x = df['Women'],
                         y = df['Grade'],
                         marker = dict(color = '#CC5600', size = 14),
                         mode = 'markers+text',
                         text = w_lbl,
                         textposition = 'middle left',
                         textfont = {'color': '#CC5600'},
                         name = 'Woman'))

fig.add_trace(go.Scatter(x = df['Men'],
                         y = df['Grade'],
                         marker = dict(color = '#237266', size = 14),
                         mode = 'markers+text',
                         text = m_lbl,
                         textposition = 'middle right',
                         textfont = {'color': '#237266'},
                         name = 'Men'))

fig.add_annotation(x = df.iloc[-1, df.columns.get_loc('Women')] - 5,
                   y = df.iloc[-1, df.columns.get_loc('Grade')],
                   text = 'Women',
                   font = {'color': '#CC5600',
                           'size': 15},
                   showarrow = False)

fig.add_annotation(x = df.iloc[-1, df.columns.get_loc('Men')] + 5,
                   y = df.iloc[-1, df.columns.get_loc('Grade')],
                   text = 'Men',
                   font = {'color': '#237266',
                           'size': 15},
                   showarrow = False)

fig.update_layout(title = "Sample plotly",
                  showlegend = False)

fig.show()

剧情: