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itry

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Nov 16th, 2019
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Python 1.31 KB | None | 0 0
  1. import matplotlib
  2. import matplotlib.pyplot as plt
  3. import matplotlib.dates as mdates
  4. import tkinter
  5.  
  6. from datetime import datetime, date, timedelta
  7.  
  8.  
  9. matplotlib.use('TkAgg')
  10.  
  11. def get_data():
  12.     all_data = []
  13.  
  14.     with open('data.csv', 'r') as file:
  15.         line_num = 1
  16.         for line in file:
  17.             data = {}
  18.             line = line.strip()
  19.             data['timestamp'] = line.split(',')[0]
  20.             data['day'] = line.split(',')[1]
  21.             data['time'] = line.split(',')[2]
  22.             data['filepath'] = line.split(',')[3]
  23.             all_data.append(data)
  24.  
  25.     return all_data
  26.  
  27. def get_x_delta():
  28.     x_range = []
  29.     start_date = datetime.strptime(all_data[0]['day'], '%Y-%m-%d')
  30.     last_date = datetime.strptime(all_data[-1]['day'], '%Y-%m-%d')
  31.  
  32.     days = mdates.drange(start_date,last_date, timedelta(days=1))
  33.     return days
  34.  
  35. def get_y_stamp():
  36.     y = []
  37.     for entry in all_data:
  38.         time = datetime.strptime(entry['timestamp'], '%Y:%m:%d %H:%M:%S')
  39.         y.append(time)
  40.     return y
  41.        
  42. all_data = get_data()
  43.  
  44. x_range = get_x_delta()
  45. y = get_y_stamp()
  46.  
  47.  
  48. plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))
  49. plt.gca().xaxis.set_major_locator(mdates.DayLocator(interval=1))
  50.  
  51. plt.gca().yaxis.set_major_locator(mdates.HourLocator())
  52. plt.gca().yaxis.set_major_formatter(mdates.DateFormatter('%H:%M'))
  53. plt.plot(x_range,y)
  54. plt.gcf().autofmt_xdate()
  55. plt.show()
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