df.plot.scatter:c和cmap

pjngdqdw  于 2021-09-29  发布在  Java
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我有一个数据框(注意-数据是虚拟数据,不代表图中的内容):

Index     BGC frequency - Count     Proportion of total BGCs both captured and not captured by antiSMASH - %
  species_a            1                                       2
  species_b            3                                       4
     ...              ...                                     ...

我想做一个散点图 BGC frequency - Count vs Proportion of total BGCs both captured and not captured by antiSMASH - % ,带有根据分类表着色的点 Index ,一个传奇。

import matplotlib.pyplot as plt
from matplotlib import colors
import pandas as pd

colorlist = list(colors.ColorConverter.colors.keys())
captured_df.plot.scatter(x='BGC frequency - Count', 
                         y= 'Proportion of total BGCs both captured and not captured by antiSMASH - %' , 
                          c = colorlist,
                         title = 'BGCs with an antiSMASH region')

让我接近:

但我不能得到一个传奇。理想情况下,我希望看到如图所示的第69行:

但当我尝试时:

df.plot.scatter(x='BGC frequency - Count', y='Proportion of total BGCs both captured and not captured by antiSMASH - %', c=df.index, cmap="viridis", s=50)

我得到:

ValueError: 'c' argument must be a mpl color, a sequence of mpl colors or a sequence of numbers, not Index(...list of index species names...)

我不知道这是为什么-我想 cmap 转化为 c 将数据放入正确数据类型的列表中?上面的链接明确地处理分类数据-
如果将一个分类列传递给c,则将生成一个离散的颜色条
另外请注意,我不想要数字颜色条-这没有多大用处:

感谢阅读:d

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