1.1 It’s a general way to concatenate two lists inPython. Most of the people use+operator to concatenate the lists. Look at the example below to understand it clearly. # initializing listslist_one = [0,1,2,3,4]
This operator is similar to adding a property. It joins a different set of values together. This the easiest approach of concatenation. In this, two or more lists are defined to concatenate, and then the result is stored in a new variable. It appends values in the order the same as give...
File"/Users/sammy/Documents/github/journaldev/Python-3/basic_examples/strings/string_concat_int.py", line5,in<module>print(current_year_message + current_year)TypeError: can only concatenate str(not"int")to str Copy So how do you concatenatestrandintin Python? There are various other ways to...
Python code to concat two dataframes with different column names in pandas# Importing pandas package import pandas as pd # Importing numpy package import numpy as np # Creating dictionaries d1 = {'a':[10,20,30],'x':[40,50,60],'y':[70,80,90]} d2 = {'b':[10,11,12],'x...
We can use the sum() function and lambda functions to join a list of lists in Python. You can use the in-built sum function to create a 1-D list from a list of lists. listoflists=[["Sahildeep","Dhruvdeep"],[14.12,8.6,14.01],[100,100],]# List to be flattenedmylist=sum(list...
Theupdate()method is one of the simplest ways to concatenate dictionaries in Python. It updates the dictionary with elements from another dictionary. Syntax: Here is the syntax: dict1.update(dict2) Example: Here is an example. config1 = {'host': 'localhost', 'port': 8080} ...
The result is a seamless combination of the two lists without any duplicates.Now, let’s explore a complete working example to illustrate how the Concat() method can be utilized to join two lists:using System; using System.Linq; using System.Collections.Generic; class Program { static void ...
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df= pd.concat([series1, series2], axis=1) Out: Note: Two series must have names. 2. Add a series to a data frame df=pd.DataFrame([1,2,3],index=['a','b','c'],columns=['s1']) s2=pd.Series([4,5,6],index=['a','b','d'],name='s2') ...