📊[DataCamp] .merge_ordered() | .merge_asof() | .melt() Course -Joining data with pandas- wrap up

 

 

.query() 

 

 

 

Reshaping data with .melt() 

 

 

UNPIVOT dataset 

 

arguments : 

id_vars 변형하지 않을 컬럼

value_vars 변형을 가할 컬럼

 

📌Practice melting 

melt()를 통해 unpivot해야하는 이유 : 

In general, data is often provided (especially by governments) in a format that is easily read by people but not by machines. The .melt() method is a handy tool for reshaping data into a useful form.

 

 

original inflation Dataframe

• In the .melt() method, the arguments value_name sets the name for values column, and var_name sets the name for the column with unpivoted headers.

melt() 를 통해서, time series 가 더용이하게 unpivot하였다. 

 

📌Course wrap up : 

well...