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How to make a numpy array from pandas dataframe

I have a pandas data frame as below. How can I make a numpy array form it?
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This week I will be taking part in an instructional study abroad to the U.S.I have been asked to moderate a session on Language and Literature. I see two problems with this task: (1) my language skills are not up to much, and (2) my background is not in Language and Literature but rather literature. Here is how the session will go. At the end of the session I will be holding a Q&A with the participants to determine if I should have modified the session to make it more interesting to the international audience, (i.e., adding more vocabulary, literature, etc.).

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The present invention relates to a moisture absorbent polymer, to the production method thereof, and to a moisture absorbent product and a moisture absorbent composition containing the moisture absorbent polymer. More specifically, the present invention relates to a moisture absorbent polymer having excellent moisture absorption performance (particularly, superior in-use moisture-absorption capacity and fast moisture-absorption performance), which is used as an absorbent resin for absorbent products such as a disposable diaper, a sanitary napkin, and an inter-uterine device, and which can absorb a large amount of urine and also can be maintained in a low-humidity state, the production method thereof, and a moisture absorbent composition containing the moisture absorbent polymer.
ii) Description of the Related Art
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Q:

Como seleccionar datos que esten en hilos en R

Hola tengo la siguiente base de datos
NOMBRE SEXO
11111 M
11111 F
11112 M
11113 M
11114 F
11114 M
11115 F
11115 M

NOMBRE es la columna que se repite, sexo es donde veo que estan dentro de la base de datos
Este es mi código
structure(list(POB_NOMBRE = c(11111L, 11111L, 11112L, 11113L, 11114L, 11115L), POB_SEXO = c(FALSE, FALSE, FALSE, FALSE, FALSE, FALSE)))

Y en la primera columna los F que estan duplicados el problema que yo tengo es que quiero filtrar la columna que tiene duplicados
Por ejemplo:
La columna es la siguiente
POB_NOMBRE POB_SEXO
1 11111 F
2 11111 F
3 11112

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