How to Extract Numbers from Strings in Pandas Using str.extract()?

Extracting Numbers from Strings in Pandas

To extract numbers from strings within a Pandas data frame, consider utilizing the str.extract method. This method enables the usage of regular expressions to extract specific patterns from a data frame's string values.

In the provided example, the df data frame contains a column 'A' with mixed data types, including strings containing numbers. To extract only the numbers, a regex capture group can be employed:

<code class="python">df.A.str.extract('(\d+)')</code>

The regular expression pattern (d ) specifies a capture group that matches one or more digits (d). This will isolate the numbers within each string.

The result is a new data frame column containing the extracted numbers:

    A
0   1
1   NaN
2   10
3   100
4   0

Note that this method will only work for whole numbers and not floats. For more complex patterns or cases where the numbers are separated by non-digits, additional regular expression syntax may be required.

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