dataset: http://www.dadosabertos.pe.gov.br/PortalDadosAbertos/public/pages/recurso/recursoDetalhado.jsf
Importamos inicialmente as bibliotecas, como nosso produto final sera mostrado em grafico, precisamos da biblioteca Matplotlib, executando o shape( ) vemos que o arquivo possui 4 colunas e 172.486 linhas ou seja aferições.
How do I work with the Monitoring Date before I need to convert to type Date because as we see below with the function df.dtypes it and the type object which is an internal type of pandas that does not accept operations with dates
Below in In [4]: I convert the column ['Data_Movimento_Pluviometrico'] to date type uses the to_datetime () pandas function then I see if the type change operation was successful with .dtypes
With the date column converted to datetime it is possible to perform operations such as in [92]: where we set up a dataset with the information between January 22 and 23, 2011
I create 12 Dataframes with the occurrences of each month of 2011.
Promise later to implement a loop for this statement, but for now I will not worry about this more advanced part
Checking the measurements of each month
in [43] and in [48] we created a vector that stores the averages of the monthly measurements in Recife, in [54] we show the vector of rain means in Recife in 2011
Importamos inicialmente as bibliotecas, como nosso produto final sera mostrado em grafico, precisamos da biblioteca Matplotlib, executando o shape( ) vemos que o arquivo possui 4 colunas e 172.486 linhas ou seja aferições.
How do I work with the Monitoring Date before I need to convert to type Date because as we see below with the function df.dtypes it and the type object which is an internal type of pandas that does not accept operations with dates
Below in In [4]: I convert the column ['Data_Movimento_Pluviometrico'] to date type uses the to_datetime () pandas function then I see if the type change operation was successful with .dtypes
With the date column converted to datetime it is possible to perform operations such as in [92]: where we set up a dataset with the information between January 22 and 23, 2011
I create 12 Dataframes with the occurrences of each month of 2011.
Promise later to implement a loop for this statement, but for now I will not worry about this more advanced part
Filtering the measurements made in Recife:
this step should have been done right at the beginning of the dataset, since it would not have the code rewriting work, as I'm starting this technology, I think a lot of code rewriting is necessary to learn the sitaxe of the language
this step should have been done right at the beginning of the dataset, since it would not have the code rewriting work, as I'm starting this technology, I think a lot of code rewriting is necessary to learn the sitaxe of the language
in [43] and in [48] we created a vector that stores the averages of the monthly measurements in Recife, in [54] we show the vector of rain means in Recife in 2011
Creating the graphic