pandas库的Series属性中Series.ftype的作用是如果数据稀疏则返回
但整个系列将由单个dtype表示。例如，如果Series包含整数和浮点数，则Pandas将为整个系列分配浮点数据类型。
It is pandas that now requires that the Series name is hashable. You probably updated your pandas version as well together with numba. See#12610and#12612. The series name not being hashable caused a bug that was fixed in pandas 0.18.1...
Note: We receive a lot of issues on our GitHub tracker, so it is very possible that your issue has been posted before. Please check first before submitting so that we do not have to handle and close duplicates! Note: Many problems can be resolved by simply upgrading pandas to the latest...
TypeError: unhashable type: 'Series' Cause 2: Slice DataFrame incorrectly Another cause of the“Type Error: unhashable type: ‘Series'”is when you slice a DataFrame incorrectly. A DataFrame is a two-dimensional data structure in Pandas, consisting of rows and columns. ...
When attempting to scale multiple Series in a pandas DataFrame using a multiplication assignment operator (in-place modification), the changes are not reflected in the DataFrame for the series of dtype "int64". Looking at the print statements (df.spam) shows the correct values. ...
Cause 1: Assigning Series Objects to Dictionary Keys, Set Elements, or Pandas Index Values Dictionary keys, set elements, and Pandas Index values are all required to be of a hashable type. As mentioned, using a Pandas Series in any of these places will cause an error. ...
def process(f: DataFrame) -> Series: ... This is inadequate, as it ignores the types contained within the container. A DataFrame might have string column labels and three columns of integer, string, and floating-point values; these characteristics define the type. A function argument with ...
将Series转换为object不会使项目变成字符串，而只是使Seriesdtype对象（对象Series可以包含任何内容：整数、...
字符串和文本处理通常是由一些内置的字符串方法指定,一般语法格式为:series.str.method。其中,str.method被称为矢量化的字符串方法,包括str.upper()、str.lower()、str.split()等一系列字符串的内置方法,还可以结合正则化式进行处理。 (1)矢量化的字符串方法将对Series或者Index中的每个元素都进行相同的处理; ...