When reading and processing the data in the CSV file with panda in Python, you may encounter such an error:

TypeError: invalid type comparison

Invalid type comparison

At this time, you can print the data in your data frame

1. There may be no data in some items, which will be displayed as Nan when printing. Nan can’t be compared with any data, and it’s not equal to any value, including himself (so you can also use a! =A to judge whether a is Nan.

Therefore, in the following data processing, if a comparison operation is performed, an error will be reported:

TypeError: invalid type comparison

Method, add parameters when reading the CSV

keep_default_na=False

In this way, entries without data will be recognized as null characters instead of Nan

2. Maybe the data types of different columns in your dataframe are different. Some of them are recognized as STR and some as int. although they all look like numbers, they will also report errors when compared later

At this time, you can add a parameter

converters={'from':str,'to':str} # Convert both the from and to columns to str

The explanation of converters is as follows:

converters: dict, default None
Dict of functions for converting values in certain columns. Keys can either
be integers or column labels

The same type can be compared together