/Python/Python how to add columns to a pandas dataframe

Python how to add columns to a pandas dataframe

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

Similar codes

2 votes140 views2 answers
Gcd python
Python
0 vote130 views1 answer
Convert 2 level nested list to one level list in python
Python
2 votes136 views1 answer
@transactional annotation
Python
0 vote161 views1 answer
Print from 1 to n in python
Python
12 votes138 views6 answers
Python flask
Python
2 votes131 views2 answers
Iterate through attributes of class python
Python
0 vote208 views1 answer
Django composer
Python Django
0 vote152 views1 answer
Is python idle an ide
Python
0 vote138 views3 answers
Spark to pandas
Python
3 votes145 views2 answers
Python list multiplication
Python