In python 3 and pandas I have the dataframe:
informacao1.info()
<class 'pandas.core.frame.DataFrame'>
Int64Index: 5 entries, 0 to 4
Data columns (total 36 columns):
uf_x 5 non-null object
cargo 5 non-null object
nome_completo_x 5 non-null object
sequencial 5 non-null object
numero_urna 5 non-null int64
cpf 5 non-null object
nome_urna 5 non-null object
situacao_cand 5 non-null object
partido_eleicao 5 non-null object
ocupacao 5 non-null object
data_nascimento 5 non-null object
nome 5 non-null object
nome_completo_y 5 non-null object
partido 5 non-null object
uf_y 5 non-null object
cargo_parlamentar 5 non-null object
tipo 5 non-null object
classe 5 non-null object
numero 5 non-null int64
único 5 non-null object
assunto 5 non-null object
data_inicial 5 non-null object
data_final 5 non-null object
andamento 5 non-null object
link 5 non-null object
transparencia 5 non-null object
conferencia 5 non-null object
data_conferencia 5 non-null object
resumo 5 non-null object
observacao 5 non-null object
link_noticia_tribunal_confiavel 3 non-null object
interessa 5 non-null object
ministro_relator 5 non-null object
processo_conectado 0 non-null object
situacao 5 non-null object
cadastro_push 5 non-null object
dtypes: int64(2), object(34)
memory usage: 1.4+ KB
I need to delete all the columns, from the eleventh (counting the first as zero): then delete the nome, nome_completo_y, partido, (...), situacao and cadastro_push
And keep only the first ten: uf_x, cargo, nome_completo_x, sequencial, numero_urna, cpf, nome_urna, situacao_cand, partido_eleicao, ocupacao and data_nascimento
Please, is there a way to delete columns in a sequence?
