Python Pandas - 从 Index 对象返回相对频率
要从Index对象返回相对频率，请使用参数normalize为True的方法。index.value_counts()
首先，导入所需的库——
import pandas as pd
创建熊猫索引-
index = pd.Index([50, 10, 70, 110, 90, 50, 110, 90, 30])
显示熊猫指数-
print("Pandas Index...\n",index)使用获取唯一值的计数value_counts()。将参数“normalize”设置为True以获取相对频率-
print("\nGet the relative frequency by dividing all values by the sum of values...\n", index.value_counts(normalize=True))示例
以下是代码-
import pandas as pd
#创建Pandas索引
index = pd.Index([50, 10, 70, 110, 90, 50, 110, 90, 30])
#显示Pandas索引
print("Pandas Index...\n",index)
#返回索引中的元素数
print("\nNumber of elements in the index...\n",index.size)
#返回数据的dtype
print("\nThe dtype object...\n",index.dtype)
#使用value_counts()获取唯一值的计数
# Set the parameter "normalize" to True to get the relative frequency
print("\nGet the relative frequency by dividing all values by the sum of values...\n", index.value_counts(normalize=True))输出结果这将产生以下输出-
Pandas Index... Int64Index([50, 10, 70, 110, 90, 50, 110, 90, 30], dtype='int64') Number of elements in the index... 9 The dtype object... int64 Get the relative frequency by dividing all values by the sum of values... 50 0.222222 110 0.222222 90 0.222222 10 0.111111 70 0.111111 30 0.111111 dtype: float64