用Pandas突出显示不同颜色的多个细胞

Question

假设我们有一个数据帧，我想给不同的单元格上色：

• 单元格['Arizona','company'](1st)，['Texas','size'](1099)为绿色。在
• 细胞['Florida','veterans'](26)，['Maine','armored'](0)呈红色。在

有什么好办法？

raw_data = {'regiment': ['Nighthawks', 'Nighthawks', 'Nighthawks', 'Nighthawks', 'Dragoons', 'Dragoons', 'Dragoons', 'Dragoons', 'Scouts', 'Scouts', 'Scouts', 'Scouts'],
            'company': ['1st', '1st', '2nd', '2nd', '1st', '1st', '2nd', '2nd','1st', '1st', '2nd', '2nd'],
            'deaths': [523, 52, 25, 616, 43, 234, 523, 62, 62, 73, 37, 35],
            'battles': [5, 42, 2, 2, 4, 7, 8, 3, 4, 7, 8, 9],
            'size': [1045, 957, 1099, 1400, 1592, 1006, 987, 849, 973, 1005, 1099, 1523],
            'veterans': [1, 5, 62, 26, 73, 37, 949, 48, 48, 435, 63, 345],
            'readiness': [1, 2, 3, 3, 2, 1, 2, 3, 2, 1, 2, 3],
            'armored': [1, 0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1],
            'deserters': [4, 24, 31, 2, 3, 4, 24, 31, 2, 3, 2, 3],
            'origin': ['Arizona', 'California', 'Texas', 'Florida', 'Maine', 'Iowa', 'Alaska', 'Washington', 'Oregon', 'Wyoming', 'Louisana', 'Georgia']}

df = pd.DataFrame(raw_data, columns = ['regiment', 'company', 'deaths', 'battles', 'size', 'veterans', 'readiness', 'armored', 'deserters', 'origin'])

df = df.set_index('origin')

df.head()

（http://chrisalbon.com/python/pandas_indexing_selecting.html）

Answer 1

您可以将slicing in Style与参数subset和函数Styler.applymap一起使用对于元素样式，请在jupyter notebook中运行代码：

import pandas as pd
import numpy as np

def red(val):
    color = 'red'
    return 'background-color: %s' % color

def green(val):
    color = 'green'
    return 'background-color: %s' % color

raw_data = {'regiment': ['Nighthawks', 'Nighthawks', 'Nighthawks', 'Nighthawks', 'Dragoons', 'Dragoons', 'Dragoons', 'Dragoons', 'Scouts', 'Scouts', 'Scouts', 'Scouts'],
            'company': ['1st', '1st', '2nd', '2nd', '1st', '1st', '2nd', '2nd','1st', '1st', '2nd', '2nd'],
            'deaths': [523, 52, 25, 616, 43, 234, 523, 62, 62, 73, 37, 35],
            'battles': [5, 42, 2, 2, 4, 7, 8, 3, 4, 7, 8, 9],
            'size': [1045, 957, 1099, 1400, 1592, 1006, 987, 849, 973, 1005, 1099, 1523],
            'veterans': [1, 5, 62, 26, 73, 37, 949, 48, 48, 435, 63, 345],
            'readiness': [1, 2, 3, 3, 2, 1, 2, 3, 2, 1, 2, 3],
            'armored': [1, 0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1],
            'deserters': [4, 24, 31, 2, 3, 4, 24, 31, 2, 3, 2, 3],
            'origin': ['Arizona', 'California', 'Texas', 'Florida', 'Maine', 'Iowa', 'Alaska', 'Washington', 'Oregon', 'Wyoming', 'Louisana', 'Georgia']}

df = pd.DataFrame(raw_data, columns = ['regiment', 'company', 'deaths', 'battles', 'size', 'veterans', 'readiness', 'armored', 'deserters', 'origin'])

df = df.set_index('origin')
print (df)

df.style.applymap(green, subset=pd.IndexSlice['Arizona':'Texas', 'company': 'size'])
        .applymap(red, subset=pd.IndexSlice['Florida':'Maine', 'veterans': 'armored'])

如果只需要更改DataFrame中的某些值，则可以将Styler.apply与{}一起用于表格样式，并且函数必须返回一个具有相同索引和列标签的DataFrame：

^{pr2}$

Answer 2

试试这个来自http://melissagymrek.com/python/2014/01/12/ipython-tables.html的例子

from ipywidgets import *
import pandas as pd
df = pd.DataFrame({"x":[1,2,3], "y":[6,4,3], "z":["testing","pretty","tables"], "f":[0.023432, 0.234321,0.5555]})
pt = PrettyTable(df)
pt


# Set cell style using a CellStyle object
pt = PrettyTable(df, tstyle=TableStyle(theme="theme1"), center=True)
cs = CellStyle()
cs.set("background-color", "red")
cs.set("color", "white")
pt.set_cell_style(style=cs)
pt

http://melissagymrek.com/python/2014/01/12/ipython-tables.html