User plot per week pandas

Question

I have a csv file that basically follows below, I’m trying to separate user iteration number per week and plot a graph for each user.

Hora    Nome completo
8/08/2017 19:00 Joao
8/08/2017 19:00 Joao
8/08/2017 19:00 Joao
8/08/2017 18:55 Lucas
8/08/2017 18:55 Joao

I got a solution to organize user by date ,just could not plot yet, my code to organize

 `import pandas as pd 
import matplotlib.pyplot as plt 
from datetime import datetime 
import datetime as dt
import numpy as np




log_df = pd.read_csv('logs.csv',delimiter=",")
log_df['Hora'] = pd.to_datetime(log_df['Hora'])
df = log_df['Hora']


lenght = len(df)
tupla = [None]*lenght
for i in range(lenght):
        m = df[i]
        b = m.strftime("%Y-%m-%d")
        tupla[i] = b

week = tupla
log_df['Hora'] = tupla
log_df.set_index(log_df['Hora'], inplace=True)



grouped2 = pd.DataFrame({'count' : log_df.groupby( [ "Hora", "Nome completo"] ).size()}).reset_index()
print(grouped2)

The way out is like this

Hora    Nome completo   Count
8/08/2017  Joao          4

8/08/2017  Lucas         1

in case now I would like to plot a graph user name and access number for each week. My doubt is how I place or separate by week of the year agr?