.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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.loc Function
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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!