how to add a column to a pandas df
#using the insert function: df.insert(location, column_name, list_of_values) #example df.insert(0, 'new_column', ['a','b','c']) #explanation: #put "new_column" as first column of the dataframe #and puts 'a','b' and 'c' as values #using array-like access: df['new_column_name'] = value #df stands for dataframe
python how to add columns to a pandas dataframe
# Basic syntax: pandas_dataframe['new_column_name'] = ['list', 'of', 'column', 'values'] # Note, the list of column values must have length equal to the number # of rows in the pandas dataframe you are adding it to. # Add column in which all rows will be value: pandas_dataframe['new_column_name'] = value # Where value can be a string, an int, a float, and etc
Source: pythonexamples.org
insert column in a dataframe
df.insert(loc, column_name, value)
Source: stackoverflow.com