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Python Pandas Tutorial | Concatenate Pandas Dataframe - P12

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 01:46 how to use Pandas pd.concat to concatenate the dataframes when axis = 0 02:50 how to use Pandas pd.concat to concatenate the dataframes when axis = 1 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 df3 = pd.concat([df1,df2],axis=0) df4 = pd.concat([df1,df2],axis=1) Create a new row to append new_row = pd.Series([3001,'Steve Waugh','Male','Australia'], index=['ID', 'Name', 'Gender','Country']) Append row df5 = df3.append(new_row, ignore_index=True) All Playlist of this youtube channel ==================================== 1. Data Preprocessing in Machine Learning    • Data Preprocessing in Machine Learning| Li...   2. Confusion Matrix in Machine Learning, ML, AI    • Confusion Matrix in Machine Learning, ML, AI   3. Anaconda, Python Installation, Spyder, Jupyter Notebook, PyCharm, Graphviz    • Anaconda | Python Installation | Spyder | ...   4. Cross Validation, Sampling, train test split in Machine Learning    • Cross Validation | Sampling | train test s...   5. Drop and Delete Operations in Python Pandas    • Drop and Delete Operations in Python Pandas   6. Matrices and Vectors with python    • Matrices and Vectors with python   7. Detect Outliers in Machine Learning    • Detect Outliers in Machine Learning   8. TimeSeries preprocessing in Machine Learning    • TimeSeries preprocessing in Machine Learning   9. Handling Missing Values in Machine Learning    • Handling Missing Values in Machine Learning   10. Dummy Encoding Encoding in Machine Learning    • Label Encoding, One hot Encoding, Dummy En...   11. Data Visualisation with Python, Seaborn, Matplotlib    • Data Visualisation with Python, Matplotlib...   12. Feature Scaling in Machine Learning    • Feature Scaling in Machine Learning   13. Python 3 basics for Beginner    • Python | Python 3 Basics | Python for Begi...   14. Statistics with Python    • Statistics with Python   15. Sklearn Scikit Learn Machine Learning    • Sklearn Scikit Learn Machine Learning   16. Python Pandas Dataframe Operations    • Python Pandas Dataframe Operations   17. Linear Regression, Supervised Machine Learning    • Linear Regression | Supervised Machine Lea...   18 Interiew Questions on Machine Learning and Data Science    • Interview Question for Machine Learning, D...   19. Jupyter Notebook Operations    • Jupyter and Spyder Notebook Operations in ...