Python Pandas Tutorial | Concatenate Pandas Dataframe - P12

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Python Pandas Tutorial | Concatenate Pandas Dataframe - P12
#technologycult #pythonformachinlearning #pythonpandas

Topic to be covered :
Concatenate Dataframes

Table of Content
00:31 Import the libraries Pandas and Numpy
01:15 Create the dataframe and load the data
05:47 how to append record to a dataframe

Concatenating Dataframes

df1 = pd.DataFrame()
ID = [1001,1002,1003,1004]
Name = ['Virat Kohli','Susan Whistler','Micheal Scofield', 'Sarah Wilson']
Gender = ['Male','Male','Male','Female']
Country = ['India','Australia','England','Canada']

df1['ID'] = ID
df1['Name'] = Name
df1['Gender'] = Gender
df1['Country'] = Country

df2 = pd.DataFrame()
ID = [2001,2002,2003,2004]
Name = ['Ramos Djavedi','Sanjeev Walia','Sneha Chowdhury','Lincoln Burrows']
Gender = ['Male','Male','Female','Male']
Country = ['US','India','Qatar','Canada']

df2['Name'] = Name
df2['ID'] = ID
df2['Gender'] = Gender
df2['Country'] = Country

Create a new row to append
new_row = pd.Series([3001,'Steve Waugh','Male','Australia'], index=['ID', 'Name', 'Gender','Country'])

Append row

All Playlist of this youtube channel
====================================

1. Data Preprocessing in Machine Learning

2. Confusion Matrix in Machine Learning, ML, AI

3. Anaconda, Python Installation, Spyder, Jupyter Notebook, PyCharm, Graphviz

4. Cross Validation, Sampling, train test split in Machine Learning

5. Drop and Delete Operations in Python Pandas

6. Matrices and Vectors with python

7. Detect Outliers in Machine Learning

8. TimeSeries preprocessing in Machine Learning

9. Handling Missing Values in Machine Learning

10. Dummy Encoding Encoding in Machine Learning

11. Data Visualisation with Python, Seaborn, Matplotlib

12. Feature Scaling in Machine Learning

13. Python 3 basics for Beginner

14. Statistics with Python

15. Sklearn Scikit Learn Machine Learning

16. Python Pandas Dataframe Operations

17. Linear Regression, Supervised Machine Learning

18 Interiew Questions on Machine Learning and Data Science

19. Jupyter Notebook Operations