Home > Article > Backend Development > How to print a Pandas DataFrame without the index and with custom column formatting?
Pandas Dataframe: Printing Without Index
When working with Pandas dataframes, it may be desirable to exclude the index when printing the dataframe. Additionally, it may be necessary to modify the formatting of specific columns, such as converting datetime objects to display only the time portion.
To exclude the index when printing a dataframe, use the index parameter within the to_string method. Setting index=False will remove the index from the printed output.
<code class="python">df.to_string(index=False)</code>
For example, consider the following dataframe:
User ID Enter Time Activity Number 0 123 2014-07-08 00:09:00 1411 1 123 2014-07-08 00:18:00 893 2 123 2014-07-08 00:49:00 1041
Using the to_string method with index=False will produce the following output:
User ID Enter Time Activity Number 123 00:09:00 1411 123 00:18:00 893 123 00:49:00 1041
To modify the formatting of a specific column, use the strftime method. This method can be used to convert datetime objects to display only the time portion. For example, to display only the time portion of the Enter Time column, use the following code:
<code class="python">df['Enter Time'] = df['Enter Time'].dt.strftime('%H:%M:%S')</code>
This will modify the Enter Time column to display only the time, without the date.
Combining these techniques, you can print a dataframe without the index and with specific column formatting. For instance, to print the dataframe with only the time portion of the Enter Time column and without the index, use the following code:
<code class="python">print(df[['User ID', 'Enter Time', 'Activity Number']].to_string(index=False))</code>
This will produce the following output:
User ID Enter Time Activity Number 123 00:09:00 1411 123 00:18:00 893 123 00:49:00 1041
The above is the detailed content of How to print a Pandas DataFrame without the index and with custom column formatting?. For more information, please follow other related articles on the PHP Chinese website!