python - Plotting an awkward pandas multi index dataframe -


i have awkward dataframe looks this:

+----+------+-------+-------+--------+----+--------+ |    |      | hour1 | hour2 | hour 3 | …  | hour24 | +----+------+-------+-------+--------+----+--------+ | id | date |       |       |        |    |        | | 1  | 3    |     4 |     0 |     96 | 88 |     35 | |    | 4    |    10 |     2 |     54 | 42 |     37 | |    | 5    |     9 |    32 |      8 | 70 |     34 | |    | 6    |    36 |    89 |     69 | 46 |     78 | | 2  | 5    |    17 |    41 |     48 | 45 |     71 | |    | 6    |    50 |    66 |     82 | 72 |     59 | |    | 7    |    14 |    24 |     55 | 20 |     89 | |    | 8    |    76 |    36 |     13 | 14 |     21 | | 3  | 5    |    97 |    19 |     41 | 61 |     72 | |    | 6    |    22 |     4 |     56 | 82 |     15 | |    | 7    |    17 |    57 |     30 | 63 |     88 | |    | 8    |    83 |    43 |     35 |  8 |      4 | +----+------+-------+-------+--------+----+--------+

for each id there list of dates , each date hour columns represent full day's worth of data broken out hour full 24hrs.

what plot (using matplotlib) full hourly data each of ids, can't think of way this. looking possibility of creating numpy matrices, i'm not sure if right path go down.

clarification: essentially, each id want concatenate hourly data in order , plot that. have days in proper order, imagine it's matter finding way put of hourly data each id 1 object

any thoughts on how best accomplish this?

here sample data in csv format: http://www.sharecsv.com/s/e56364930ddb3d04dec6994904b05cc6/test1.csv

here 1 approach:

for groupid, data in d.groupby(level='id'):     fig = pyplot.figure()     ax = fig.gca()     ax.plot(data.values.ravel())     ax.set_xticks(np.arange(len(data))*24)     ax.set_xticklabels(data.index.get_level_values('date'))

ravel numpy method string out multiple rows 1 long 1d array.

beware running interactively on large dataset, creates separate plot each line. if want save plots or like, set noninteractive matplotlib backend , use savefig save each figure, close before creating next one.


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