Home Backend Development Python Tutorial Here are a few question-based titles, tailored to the article\'s content: **Direct & Concise:** * **How to Add Leading Zeros to Strings in a Pandas Dataframe?** * **Padding Strings with Leading

Here are a few question-based titles, tailored to the article\'s content: **Direct & Concise:** * **How to Add Leading Zeros to Strings in a Pandas Dataframe?** * **Padding Strings with Leading

Oct 25, 2024 am 01:40 AM

Here are a few question-based titles, tailored to the article's content:

**Direct & Concise:**

* **How to Add Leading Zeros to Strings in a Pandas Dataframe?**
* **Padding Strings with Leading Zeros in Pandas: Two Methods**

**More Descriptive:**

* **

Adding Leading Zeros to Strings in Pandas Dataframe

To append leading zeros to the string columns in a pandas dataframe, there are several approaches:

Using the str Attribute

The str attribute provides access to various string manipulation methods. For the given task, zfill() method can be used:

<code class="python">df['ID'] = df['ID'].str.zfill(15)</code>
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This function will pad the strings in the ID column with zeros to a total length of 15 characters.

Using format() Function

The format() function offers another way to add leading zeros:

<code class="python">df['ID'] = '{0:0>15}'.format(df['ID'])</code>
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Here, the format function takes each element of the ID column and converts it to a string. The 0 specifies that the string should be padded with zeros, and 15 defines the total length of the resulting string.

Additional Resources

For more information on handling strings in Pandas, refer to the documentation: http://pandas.pydata.org/pandas-docs/stable/text.html

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