df['人员类型'].value_counts()

`df['人员类型'].value_counts()` is a method used to count the number of occurrences of each unique value in the '人员类型' column of a pandas DataFrame `df`, and return the result as a new DataFrame with the count of each value sorted in descending order.

For example, if the '人员类型' column contains the following values: '员工', '经理', '实习生', '员工', '实习生', '员工', '经理', '实习生', '实习生', '员工', the output of `df['人员类型'].value_counts()` would be:

实习生    4
员工     4
经理     2

This means that '实习生' and '员工' both occurred 4 times, and '经理' occurred 2 times in the '人员类型' column of the DataFrame.

相关问题

df.value_counts()

As an AI language model, I don't have access to any specific dataframe to execute code. However, in general, `df.value_counts()` is a method used in pandas library of Python to count the number of occurrences of each unique value in a series or dataframe column. It returns a new series with counts of unique values in descending order.

df.OrderProvinceCity.value_counts()

这是 Pandas 数据框对象的一个方法，用于计算数据框中每个唯一值的出现次数，并按照出现次数从大到小进行排序，返回一个包含计数结果的 Series 对象。在这个特定的示例中，`df.OrderProvinceCity` 是一个整数编码的列，该方法将返回每个整数编码值的出现次数。这可以帮助我们了解整数编码值的分布情况，发现数据集中的主要类别或异常值。