python - Pandas changing cell values based on another cell -

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i formatting data 2 different data sets. 1 of dataset reflects observation count of people in room on hour basis, second 1 count of people based on wifi logs generated in 5 minutes interval.

after merging these 2 dataframes one, run issue each hour (as "10:00:00") has data original set, other data (every 5min "10:47:14") not include data.

here how merge dataframe looks:

        room       time              con     auth  capacity    %     count  module    size  0       b002    mon nov 02 10:32:06  23      23       90       nan    nan   nan        nan`   1       b002    mon nov 02 10:37:10  25      25       90       nan    nan   nan        nan`   12527   b002    mon nov 02 10:00:00  nan     nan      90       50%    45.0  comp30520   60`   12528   b002    mon nov 02 11:00:00  nan     nan      90       0%     0.0   comp30520   60`

is there way me go through dataframe , find information regarding "occupancy", "occupancycount", "module" , "size" 11:00:00 , write cells of same day , hour between 10:00:00 , 10:59:59?

that allow me have information on each row , allow me gather min(), max() , median() based on 'day' , 'hour'.

to answer comment original dataframes, here there are:
first dataframe:

    time                room    module      size 0   mon nov 02 09:00:00 b002    comp30190   29 1   mon nov 02 10:00:00 b002    comp40660   53

second dataframe:

        room    time                  con   auth  capacity  %     count 0       b002    mon nov 02 20:32:06   0     0     nan       nan   nan 1       b002    mon nov 02 20:37:10   0     0     nan       nan   nan 2       b002    mon nov 02 20:42:12   0     0     nan       nan   nan 12797   b008    wed nov 11 13:00:00   nan   nan   40        25    10.0 12798   b008    wed nov 11 14:00:00   nan   nan   40        50    20.0 12799   b008    wed nov 11 15:00:00   nan   nan   40        25    10.0

this how these 2 dataframes merged together:

dfinal = pd.merge(df, d3, left_on=["room", "time"], right_on=["room", "time"], how="outer", left_index=false, right_index=false)

any appreciated.

thanks lot,

-romain

somewhere start:

b = df[(df['time'] > x) & (df['time'] < y)]

selects elements within times x , y

and 

df.loc[df['column_name'].isin(b)]

gives rows want (ie - between x , y) , can assign see fit. think you'll want assign values of selected rows of row number x?

hope helps.

note these function cut , paste jobs
[1] filter dataframe rows if value in column in set list of values
[2] select rows dataframe based on values in column in pandas


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