python - Changing axis on scatterplot to fixed intervals involving time -

i have following code. problem want set range of y axis 0:00 12:00 , have equally spaced in increments of one. e.g. 0:00, 1:00, 2:00 etc. suggestions how go doing this?

also want rid of :00 @ end of each number. of right reads 00:00:00, 01:00:00 , on when want read 0:00, 1:00 ideas how can go doing this? here code have far.

    import pandas pd     import matplotlib.pyplot plt     import datetime      data = pd.read_csv('data.csv', sep=',', header=none)     print (data)         ints = data[data[1]=='int']     exts = data[data[1]=='ext']        int_times = [datetime.datetime.time(datetime.datetime.strptime(t, '%h:%m')) t in ints[4]]     ext_times = [datetime.datetime.time(datetime.datetime.strptime(t, '%h:%m')) t in exts[4]]     int_dist = [d d in ints[3]]     ext_dist = [d d in exts[3]]        fig, ax = plt.subplots()     ax.scatter(int_dist, int_times, c='red', s=80)     ax.scatter(ext_dist, ext_times, c='blue', s=80)      plt.legend(['int', 'ext'], loc=4)     plt.xlabel('distance')     plt.ylim(0,45000)      plt.show() 

well possible generate list of time having minute , second. need change format '%m:%s'.

next need change labels using plt.xticks(). changed x axis.

here sample

start = datetime.combine(date.today(), time(0, 0)) axis_times = [] y_values = [] = 0 while i<9:     start += timedelta(seconds=7)     axis_times.append(start.strftime("%m:%s"))     y_values.append(i)     i+=1    fig, ax = plt.subplots() ax.scatter(range(len(axis_times)), y_values, c='red', s=80) ax.scatter(range(len(axis_times)), y_values, c='blue', s=20)  plt.legend(['int', 'ext'], loc=4) plt.xlabel('distance') plt.xticks(range(len(axis_times)), axis_times, size='small')  plt.show()