pandas show all rows

Colin Whitehouse

2 min read

·

06-09-2024

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When working with data in Python, Pandas is one of the most powerful and popular libraries. Often, while analyzing data, you might want to view all the rows of a DataFrame for better insights. In this article, we’ll explore how to show all rows in Pandas, allowing you to fully understand your dataset.

Why Would You Want to Show All Rows?

Imagine you have a treasure chest filled with jewels. Each jewel represents a piece of data in your DataFrame. If you only peek at the top few jewels, you may miss the rare ones buried deeper. Similarly, by displaying all rows in Pandas, you ensure that no valuable information slips through the cracks.

Setting Display Options in Pandas

By default, Pandas limits the number of rows displayed in the output. However, you can change this setting easily.

Step-by-Step Guide to Show All Rows

Here’s how to adjust the display settings in Pandas:

1. Import Pandas: First, make sure you have Pandas imported into your Python environment.

   import pandas as pd
   

2. Load Your Data: Create or load a DataFrame.

   data = {
       'Name': ['Alice', 'Bob', 'Charlie', 'David', 'Eva'],
       'Age': [24, 30, 22, 35, 29],
       'City': ['New York', 'Los Angeles', 'Chicago', 'Houston', 'Phoenix']
   }
   df = pd.DataFrame(data)
   

3. Show All Rows: Use the following command to set the maximum number of rows to display to None:

   pd.set_option('display.max_rows', None)
   

4. Display the DataFrame: Now, when you print the DataFrame, all rows will be shown.

   print(df)
   

Code Example

Here's a full example that includes all the steps mentioned above:

import pandas as pd

# Create a sample DataFrame
data = {
    'Name': ['Alice', 'Bob', 'Charlie', 'David', 'Eva'],
    'Age': [24, 30, 22, 35, 29],
    'City': ['New York', 'Los Angeles', 'Chicago', 'Houston', 'Phoenix']
}
df = pd.DataFrame(data)

# Set Pandas to display all rows
pd.set_option('display.max_rows', None)

# Display the DataFrame
print(df)

Resetting the Option

If you ever want to revert to the default display options (where Pandas shows a limited number of rows), you can do so by:

pd.reset_option('display.max_rows')

Conclusion

Showing all rows in a Pandas DataFrame can significantly enhance your data analysis process, allowing you to view the complete picture at once. By simply adjusting the display settings, you can transform your data exploration experience. Remember, like any treasure hunt, the more you see, the more you find!

Further Reading

• Getting Started with Pandas
• Pandas DataFrame Documentation

Now that you know how to display all rows, you can dive deeper into your data analysis without missing a beat! Happy data exploring!