How to append new row to dataframe in pandas?

To append a new row to a DataFrame in pandas, you can use the loc indexer. Here's how you can do it:

import pandas as pd # Create a sample DataFrame data = { 'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 22] } df = pd.DataFrame(data) # Create a new row as a dictionary new_row = {'Name': 'David', 'Age': 28} # Append the new row to the DataFrame using loc df = df.append(new_row, ignore_index=True) print(df) 

In this example:

1. We create a DataFrame df with two columns: 'Name' and 'Age'.
2. We create a new row in the form of a dictionary new_row.
3. We use the append() method of the DataFrame to add the new row to the DataFrame. The ignore_index=True argument ensures that the index is renumbered after appending the row.

Keep in mind that while append() is a straightforward method, it involves creating a new DataFrame with the appended data, which can be inefficient if you're appending rows to a large DataFrame multiple times. If you need to append multiple rows, it's often more efficient to create a list of dictionaries and use the pd.concat() function to concatenate them all at once.

Examples

1. Pandas append row to DataFrame: You can use the append() method to add a new row to a DataFrame. Here's the code:

   import pandas as pd # Existing DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # New row to append new_row = {'A': 7, 'B': 8} # Append new row df = df.append(new_row, ignore_index=True) 

   Description: This code creates a DataFrame df and a new row new_row to append. It then uses the append() method with ignore_index=True to add the new row to the DataFrame.

2. Pandas add row to DataFrame with loc: You can use the loc indexer to add a new row to a DataFrame. Here's the code:

   import pandas as pd # Existing DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # New row to append new_row = pd.Series({'A': 7, 'B': 8}, name=len(df)) # Append new row df = df.append(new_row) 

   Description: This code creates a DataFrame df and a new row new_row as a Series. It then appends the new row to the DataFrame using the append() method.

3. Pandas add row to DataFrame with dictionary: You can append a new row to a DataFrame by passing a dictionary to the append() method. Here's the code:

   import pandas as pd # Existing DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # New row to append new_row = {'A': 7, 'B': 8} # Append new row df = df.append(new_row, ignore_index=True) 

   Description: This code creates a DataFrame df and a new row new_row as a dictionary. It then appends the new row to the DataFrame using the append() method with ignore_index=True.

4. Pandas insert row into DataFrame: You can use the loc indexer to insert a new row into a specific position in a DataFrame. Here's the code:

   import pandas as pd # Existing DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # New row to insert new_row = pd.Series({'A': 7, 'B': 8}) # Insert new row at index 2 df.loc[len(df)] = new_row 

   Description: This code creates a DataFrame df and a new row new_row as a Series. It then inserts the new row at index 2 using the loc indexer.

5. Pandas append row to DataFrame with list: You can append a new row to a DataFrame by passing a list to the append() method. Here's the code:

   import pandas as pd # Existing DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # New row to append new_row = [7, 8] # Append new row df = df.append(pd.Series(new_row, index=df.columns), ignore_index=True) 

   Description: This code creates a DataFrame df and a new row new_row as a list. It then appends the new row to the DataFrame using the append() method with ignore_index=True.

6. Pandas add row to DataFrame with concat: You can use pd.concat() to add a new row to a DataFrame. Here's the code:

   import pandas as pd # Existing DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # New row to append new_row = pd.DataFrame({'A': [7], 'B': [8]}) # Append new row df = pd.concat([df, new_row], ignore_index=True) 

   Description: This code creates a DataFrame df and a new DataFrame new_row. It then concatenates them using pd.concat() to append the new row to the DataFrame.

7. Pandas append row to DataFrame with append(): You can use the append() method to add a new row to a DataFrame. Here's the code:

   import pandas as pd # Existing DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # New row to append new_row = pd.DataFrame({'A': [7], 'B': [8]}) # Append new row df = df.append(new_row, ignore_index=True) 

   Description: This code creates a DataFrame df and a new DataFrame new_row. It then uses the append() method with ignore_index=True to add the new row to the DataFrame.

8. Pandas append row to DataFrame with loc indexer: You can use the loc indexer to add a new row to a DataFrame. Here's the code:

   import pandas as pd # Existing DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # New row to append new_row = pd.Series({'A': 7, 'B': 8}) # Append new row df.loc[len(df)] = new_row 

   Description: This code creates a DataFrame df and a new row new_row as a Series. It then adds the new row to the DataFrame using the loc indexer.

9. Pandas append row to DataFrame with dictionary: You can append a new row to a DataFrame by passing a dictionary to the append() method. Here's the code:

   import pandas as pd # Existing DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # New row to append new_row = {'A': 7, 'B': 8} # Append new row df = df.append(new_row, ignore_index=True) 

   Description: This code creates a DataFrame df and a new row new_row as a dictionary. It then appends the new row to the DataFrame using the append() method with ignore_index=True.

10. Pandas append row to DataFrame with DataFrame constructor: You can use the DataFrame constructor to add a new row to a DataFrame. Here's the code:

    import pandas as pd # Existing DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # New row to append new_row = pd.DataFrame({'A': [7], 'B': [8]}) # Append new row df = df.append(new_row, ignore_index=True) 

    Description: This code creates a DataFrame df and a new DataFrame new_row. It then appends the new row to the DataFrame using the append() method with ignore_index=True.

---

More Tags

code-injection rider click expression android-signing android-mediaplayer pecl html5-canvas asp.net-core-2.2 hashicorp-vault

More Python Questions

• String manipulation in Cython
• Anaconda Python - how to reinstall NumPy
• Using super() in nested classes in python
• How to rotate x-axis tick labels in a pandas plot
• Matplotlib returning a plot object
• Simulate autofit column in xslxwriter in python
• SQLAlchemy: How to delete multiple rows without querying
• Python OrderedDict iteration

More Chemical thermodynamics Calculators

• Free Online Entropy Calculator
• Free Online Boiling Point Elevation Calculator
• Free Online Heat of Combustion Calculator
• Free Online Vapor Pressure of Water Calculator
• Free Online Freezing Point Depression Calculator

More Mortgage and Real Estate Calculators

• Free Online Rent vs. Buy Calculator
• Free Online Rent Calculator
• Free Online Debt-to-Income (DTI) Ratio Calculator
• Free Online APR Calculator
• Free Online Rental Property Calculator

More Physical chemistry Calculators

• Free Online Langmuir Isotherm Calculator
• Free Online Diffusion Coefficient Calculator
• Free Online Young-Laplace Equation Calculator
• Free Online Half-Life Calculator
• Free Online Radioactive Decay Calculator

More Gardening and crops Calculators

• Free Online Plant Spacing Calculator
• Free Online Potting Soil Calculator
• Free Online Corn Yield Calculator
• Free Online VPD Calculator & Chart (Vapor Pressure Deficit)
• Free Online Mulch Calculator