python - 根据 pandas.DataFrame 中的值更改 seaborn.catplot 标记颜色亮度

Question

我尝试从包含多个基数（A、C、G、T、U ¹和 U ²）的数据中创建一个sns.catplot图表。 我的目标是仅绘制标记，这些标记取决于 的值的亮度，因此没有线条或框或任何东西。我也试了好几件，但“剧情不想选”超过三种颜色。pd.DataFrame
df ['environment']cycler.cycler (color = colourlist)

import matplotlib.pyplot as plt
import matplotlib
import seaborn as sns
import pandas as pd
import numpy as np
import cycler
import os

sns.set (style = 'white', color_codes = True, palette = ["#FF0000", "#0000FF", "#00FF00", "#C03030", "#3030C0", "#30C030"])

colourlist = np.array ([ [0, 0, 0] ])
for v in [0, 45] :
    for s in [0, 45] :
        for h in [0, 120, 240] :
            try :
                H, S, V = h / 360., (100 - s) / 100., (100 - v) / 100.
                colourlist = np.append (colourlist, [ [H, S, V] ], axis = 0)
            except :
                pass
colourlist = np.delete (colourlist, 0, 0)

matplotlib.rcParams ['axes.prop_cycle'] = cycler.cycler (color = colourlist)
matplotlib.rcParams ['image.cmap'] = 'hsv'
matplotlib.rcParams ['savefig.transparent'] = True
matplotlib.rcParams ['savefig.format'] = 'eps'
matplotlib.rcParams ['axes.xmargin'] = 0
matplotlib.rcParams ['axes.ymargin'] = 0
matplotlib.rcParams ['figure.frameon'] = False
matplotlib.spines.rcParams ['axes.spines.right'] = False
matplotlib.spines.rcParams ['axes.spines.top'] = False
matplotlib.rcParams ['xtick.bottom'] = True
matplotlib.rcParams ['ytick.left'] = True

file = os.path.join (os.environ ['HOME'], 'Data.csv')
with open (file, 'r') as f :
    df = pd.read_csv (f, index_col = 0, header = 0, thousands = None, decimal = '.')
df ['base'] = df ['base'].str.upper ()
#df ['method'] = df ['method'].str.upper ()
df = df.sort_values (['charge', 'base', 'environment'])

sns.catplot (jitter = False, data = df, x = 'base', y = 'energy', hue = 'charge', palette = ["#000FFF", "#00FF00", "#FF0000", "#00FFFF", "#FF00FF", "#FFFF00"], order = ['A', 'C', 'U1', '', 'G', 'T', 'U2'])

〜/数据.csv：

,environment,base,charge,energy,method
0,pbs,A,neg,0.34835,1
1,pbs,C,neg,0.40194,2
2,pbs,G,neg,0.34959,1
3,pbs,T,neg,0.40738,2
4,pbs,U1,neg,0.34904,2
5,pbs,U2,neg,0.40016,2
6,pbs,A,neu,0.40151,3
7,pbs,C,neu,0.34494,3
8,pbs,G,neu,0.40193,3
9,pbs,T,neu,0.34458,3
10,pbs,U1,neu,0.34646,3
11,pbs,U2,neu,0.40871,3
12,pbs,A,pos,0.34047,2
13,pbs,C,pos,0.40157,2
14,pbs,G,pos,0.34232,2
15,pbs,T,pos,0.40854,2
16,pbs,U1,pos,0.34611,2
17,pbs,U2,pos,0.34414,2
18,polymeric,A,neg,0.28333,2
19,polymeric,C,neg,0.46908,3
20,polymeric,G,neg,0.33224,3
21,polymeric,T,neg,0.35825,1
22,polymeric,U1,neg,0.33033,3
23,polymeric,U2,neg,0.39167,3
24,polymeric,A,neu,0.36964,2
25,polymeric,C,neu,0.33979,2
26,polymeric,G,neu,0.41815,3
27,polymeric,T,neu,0.30786,2
28,polymeric,U1,neu,0.40727,1
29,polymeric,U2,neu,0.36719,3
30,polymeric,A,pos,0.38173,1
31,polymeric,C,pos,0.35060,3
32,polymeric,G,pos,0.37617,1
33,polymeric,T,pos,0.44172,2
34,polymeric,U1,pos,0.31267,3
35,polymeric,U2,pos,0.34478,2

我想到了类似的东西

sns.scatterplot (data = df, x = 'base', y = 'energy', hue = 'charge', x_order = ['A', 'C', 'U1', '', 'G', 'T', 'U2'], brightness = np.where (df ['environment'] == 'pbs', 1., .5) ).

我也可以用 绘制这个（数据；pandas.DataFrame）matplotlib吗？代码看起来如何？

标签： pythonpandasmatplotlibseabornbrightness