.loc Function
Pandas allows you to set specific conditions on the dataset without an if/else statement and loops. Look at the syntax:
DataFrame.loc[DataFrame['job_title'] == 'Data Scientist'].count()
So inside the .loc[] function, you just put the condition you need. Here you compare if 'job_title' is equal to 'Data Scientist'.
It compares each value of 'job_title' to the 'Data Scientist' string.
The ways of creating such conditions are the same as for if statements; you can use >, <, >=, =<, == with the same meaning.
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Pandas allows you to set specific conditions on the dataset without an if/else statement and loops. Look at the syntax:
DataFrame.loc[DataFrame['job_title'] == 'Data Scientist'].count()
So inside the .loc[] function, you just put the condition you need. Here you compare if 'job_title' is equal to 'Data Scientist'.
It compares each value of 'job_title' to the 'Data Scientist' string.
The ways of creating such conditions are the same as for if statements; you can use >, <, >=, =<, == with the same meaning.
Thanks for your feedback!
