/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

0 vote100 views1 answer
Most valuable features in pandas model
Python
1 vote121 views1 answer
How to use git with python
Python
17 votes150 views2 answers
Make password python
Python
0 vote160 views1 answer
Python max value of list of tuples
Python
1 vote112 views1 answer
Missingpy No module named 'sklearn.neighbors.base'
Python
1 vote122 views2 answers
Countplot in pandas
Python
6 votes132 views4 answers
Flask get with parameters
Python
0 vote141 views1 answer
Factors of a number with memoization
Python
1 vote135 views1 answer
Python print os platform
Python
8 votes117 views3 answers
Python datetime to unix timestamp
Python