Fixed y axis in Python plotting times in 12 hr format -


i have plot need y axis fixed 00:00, 01:00, 02:00, etc way 12:00. of it's plotting values have in csv on y axis. csv in following format. how o y axis constant , show 00:00 12:00 in 1 hr increments , still have data plotted correctly?

    ml  int 0.1     534.15  0:00     ml  ext 0.25    654.23  3:00     ml  int 0.35    743.12  6:30

and following code have far.

    import pandas pd     import matplotlib.pyplot plt     import numpy np      data = pd.read_csv('data.csv', header=none)     ints = data[data[1]=='int']     exts = data[data[1]=='ext']     int_index = data[data[1]=='int'].index     ext_index = data[data[1]=='ext'].index     time = [t t in data[4]]     int_dist = [d d in ints[3]]     ext_dist = [d d in exts[3]]       fig, ax = plt.subplots()     ax.scatter(int_dist, int_index, c='orange', s=150)     ax.scatter(ext_dist, ext_index, c='black', s=150)     ax.set_yticks(np.arange(len(data[4])))     ax.set_yticklabels(time)     plt.legend(['int', 'ext'], loc=4)     plt.xlabel('distance')     plt.ylabel('time')     plt.show()

i generated few more rows of data make problem, @ least on end, bit more meaningful.

what solved me generating 5th column (in code, not csv) number of minutes corresponding particular o'clock time, i.e. 11:59 maps 719 min. using pandas inserted new column dataframe. place string ticklabels every hour ('0:00', '1:00', etc.) @ every 60 min.

import pandas pd import matplotlib.pyplot plt import numpy np  data = pd.read_csv('workbook2.csv', header=none) print data

prints faked data:

    0    1     2       3      4 0  ml  int  0.10  534.15   0:00 1  ml  ext  0.25  654.23   3:00 2  ml  int  0.30  743.12   6:30 3  ml  ext  0.35  744.20   4:30 4  ml  int  0.45  811.47   7:00 5  ml  ext  0.55  777.90   5:45 6  ml  int  0.66  854.70   7:54 7  ml  ext  0.74  798.40   6:55 8  ml  int  0.87  947.30  11:59

now make function convert o'clock minutes:

def convert_to_min(o_clock):     h, m = o_clock.split(':')     return int(h) * 60 + int(m) # using function create list times in minutes each time in col 4 min_col = [convert_to_min(t) t in data[4]] data[5] = min_col  # inserts list new column '5' print data

our new data:

    0    1     2       3      4    5 0  ml  int  0.10  534.15   0:00    0 1  ml  ext  0.25  654.23   3:00  180 2  ml  int  0.30  743.12   6:30  390 3  ml  ext  0.35  744.20   4:30  270 4  ml  int  0.45  811.47   7:00  420 5  ml  ext  0.55  777.90   5:45  345 6  ml  int  0.66  854.70   7:54  474 7  ml  ext  0.74  798.40   6:55  415 8  ml  int  0.87  947.30  11:59  719

now build x , y axis data, ticklabels, , tick locations:

ints = data[data[1]=='int'] exts = data[data[1]=='ext']  int_dist = ints[3]  # x-axis data int ext_dist = exts[3]  # plotting time minutes in range [0 720] int_time = ints[5]  # y-axis data int ext_time = exts[5]  time = ['0:00', '1:00', '2:00', '3:00', '4:00', '5:00',          '6:00', '7:00', '8:00', '9:00', '10:00', '11:00', '12:00'] # place strings above @ every 60 min tick_location = [t*60 t in range(13)]

now plot:

fig, ax = plt.subplots() ax.scatter(int_dist, int_time, c='orange', s=150) ax.scatter(ext_dist, ext_time, c='black', s=150) ax.set_yticks(tick_location) ax.set_yticklabels(time) plt.legend(['int', 'ext'], loc=4) plt.xlabel('distance') plt.ylabel('time') plt.title('seems work...') plt.show()

enter image description here


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