/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 vote187 views1 answer
Pandas filter rows by column value regex
Python
0 vote231 views3 answers
Convert unix timestamp to datetime python pandas
Python
3 votes210 views2 answers
Find minimum and maximum element in an array
Python
0 vote157 views1 answer
Python get text between two comma
Python
0 vote176 views1 answer
Dateien mit modul requests herunterladen python
Python
30 votes206 views2 answers
For loop example python 3
Python
3 votes253 views4 answers
Django setup in windows
Python Django
1 vote184 views1 answer
Python program to shutdown computer when user is not present
Python
0 vote189 views1 answer
Python integer to string format
Python
0 vote207 views1 answer
Removing stop words from the text
Python