append
does not return anything, so you cannot say
ListB = ListB.append('New_Field_Name')
It modifies the list in place, so you just need to say
ListB.append('New_Field_Name')
Or you could say
ListB += ['New_Field_Name']
More Related Contents:
- What is the difference between Python’s list methods append and extend?
- How do you append to a file?
- Why does append() always return None in Python? [duplicate]
- Create a Pandas Dataframe by appending one row at a time
- Append existing excel sheet with new dataframe using python pandas
- Append multiple pandas data frames at once
- Python append() vs. + operator on lists, why do these give different results?
- Why does foo.append(bar) affect all elements in a list of lists?
- How do I append one string to another in Python?
- Using pandas .append within for loop
- df.append() is not appending to the DataFrame
- What is the syntax to insert one list into another list in python?
- How do I append to a file?
- Appending item to lists within a list comprehension
- Appending a dictionary to a list in a loop
- Python RuntimeWarning: overflow encountered in long scalars
- Python append multiple files in given order to one big file
- How can I find same values in a list and group together a new list?
- Appending a list or series to a pandas DataFrame as a row?
- How to allow list append() method to return the new list
- How to append new data onto a new line
- Is there a way to circumvent Python list.append() becoming progressively slower in a loop as the list grows?
- What’s the difference between plus and append in python for list manipulation? [duplicate]
- Python The appended element in the list changes as its original variable changes
- List append() in for loop raises exception: ‘NoneType’ object has no attribute ‘append’ [duplicate]
- Append 2D array to 3D array, extending third dimension
- How to convert DataFrame.append() to pandas.concat()?
- Writing to a new file if it doesn’t exist, and appending to a file if it does
- selenium.common.exceptions.InvalidSelectorException with “span:contains(‘string’)”
- How to reversibly store and load a Pandas dataframe to/from disk