了解 {:.2} 的语法在 python 中的含义[重复]

Question

我正在为特定数据集创建线性回归模型，我正在遵循我在youtube上找到的一个示例，在某些时候我计算峰度和偏度如下：

# calculate the excess kurtosis using the fisher method. The alternative is Pearson which 
calculates regular kurtosis.
exxon_kurtosis = kurtosis(price_data['exxon_price'], fisher = True)
oil_kurtosis = kurtosis(price_data['oil_price'], fisher = True)

# calculate the skewness
exxon_skew = skew(price_data['exxon_price'])
oil_skew = skew(price_data['oil_price'])

display("Exxon Excess Kurtosis: {:.2}".format(exxon_kurtosis))  # this looks fine
display("Oil Excess Kurtosis: {:.2}".format(oil_kurtosis))      # this looks fine

display("Exxon Skew: {:.2}".format(exxon_skew))          # moderately skewed
display("Oil Skew: {:.2}".format(oil_skew))              # moderately skewed, it's a 
little high but we will accept it.

我是Python新手，下面的代码让我很困惑{:.2}，请有人解释一下这部分是什么{:.2}

display("Exxon Excess Kurtosis: {:.2}".format(exxon_kurtosis))

Answer 1

kurtosis

和

skew

函数正在执行计算，而

display

函数可能只是针对该环境的

print()

的某种形式！

".. {:.2}".format(x)

是一个字符串格式化程序，它将浮点四舍五入为 2 位有效数字

>>> "{:.2}".format(3.0)
'3.0'
>>> "{:.2}".format(0.1555)
'0.16'
>>> "{:.2}".format(3.1555)
'3.2'

字符串格式详尽无遗详细信息请参阅