pandas insert columns code example

Example 1: pandas insert column in the beginning

insert_index = 0
insert_colname = 'new column'
insert_values = [1, 2, 3, 4, 5] # this can be a numpy array too
df.insert(loc=insert_index, column=insert_colname, value=insert_values)

Example 2: 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

Example 3: how to add the column to the beginning of dataframe

# Third position would be at index 2, because of zero-indexing.
df.insert(2, 'new-col', data)

Example 4: 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