[英]Python Pandas how to change background color if age is equal to a number?
How do I change the color of the Age
column if the condition that the value is equal to 33
is met?如果满足值等于
33
的条件,如何更改Age
列的颜色?
My code:我的代码:
import pandas as pd
df = pd.DataFrame.from_dict(
{
"Nombre": ["Mike", "Jordan", "John"],
"Age": [33, 45, 20],
"Lugar": ["Arg", "Pol", "Ind"]
}
)
def _color_red_or_green(val):
color = 'red' if val != 33 else 'green'
return 'color: %s' % color
df.style.applymap(_color_red_or_green)
print(df)
if you need to make the color red when you inputs 33, then you need to make this change.如果您需要在输入 33 时将颜色变为红色,则需要进行此更改。
val == 33
Instead of代替
val != 33
This is the final code just incase:这是以防万一的最终代码:
import pandas as pd
df = pd.DataFrame.from_dict(
{
"Nombre": ["Mike", "Jordan", "John"],
"Age": [33, 45, 20],
"Lugar": ["Arg", "Pol", "Ind"]
}
)
def _color_red_or_green(val):
color = 'red' if val == 33 else 'green'
return 'color: %s' % color
df.style.applymap(_color_red_or_green)
print(_color_red_or_green(33))
If you're looking to change the color of the Age column only, try this:如果您只想更改 Age 列的颜色,请尝试以下操作:
# only style the Age column
df.style.applymap(_color_red_or_green, subset=['Age'])
Depending on what you want to color, one of two options are possible:根据您要着色的内容,可以选择以下两个选项之一:
# change color of values
def _color_red_or_green(val):
color = 'red' if val == 33 else 'green'
return 'color: %s' % color
# change color of cells
def _color_red_or_green(val):
color = 'red' if val == 33 else 'green'
return 'background: %s' % color
Make it easy and convenient by using the functions that already exist, instead of using applymap:使用已经存在的函数,而不是使用 applymap,让它变得简单方便:
(df.style
.set_properties(subset=["Age"], background="lightgreen")
.highlight_between(subset=["Age"], color="pink", left=33, right=33)
)
(You can of course use other colors if wanted - for background I picked lighter variants of red and green.) (如果需要,您当然可以使用 其他颜色- 作为背景,我选择了较浅的红色和绿色变体。)
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