Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric Python packages. Pandas is one of those packages and makes importing and analyzing data much easier.
str.isdigit() method is used to check if all characters in each string in series are digits. Whitespace or any other character occurrence in the string would return false. If the number is in decimal, then also false will be returned since this is a string method and ‘.’ is a special character and not a decimal in strings.
Return Type: Boolean series, Null values might be included too depending upon caller series.
To download the CSV used in code, click here.
In the following examples, the data frame used contains data on some NBA players. The image of data frame before any operations is attached below.
In this example,
.isdigit() method is applied on the Age column. Before doing any operations, null rows are removed using
.dropna() to avoid errors.
Since the Age column is imported as Float dtype, it is first converted into string using
.astype() method. After that the
isdigit() is applied twice, first on the original series and after that ‘.’ is removed using
str.replace() method to see the output after removing special characters.
As shown in output image, the Boolean series was false until decimal was present in string. After removing it, the new series has True for all values.
Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.
To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.