python - Adding labels to a matplotlib graph -

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To keep the following code: 

  Import nppy as import matplotlib.pyplot plt Imported Matplotlib.dates as mdates days, impressions = np.loadtxt ('results_history.csv', unpack = true, delimiter = ',', usecols = (0,1), converters = {0: mdates .strpdate2num ('% d-Plt.title' ("load test result") # param = {'legend.labelsize': 500, "% ‧" = "% s")% plt.plot_date (x = days, y = # 'Legend.handlelength': 2, # 'legend.loc': 'top left', # 'labelpacing': 0.25, # ' Linewidth ': 50} # plt.rcParams .updates (params) plt.legend ("response time") plt.ylabel (" The graph is generated but I do not understand how I can add some xy labels to the generated graph:  
 
  
 Img src = "https://i.stack.imgur.com/YWCwo.jpg" alt = "Enter image details here">  
 Also tried to increase the legend text size, but the text Is not displayed. And labels overlap with X axis. CSV file:  
  01-05-14, 55494, Build 1 10-05-14, 55000, Build 2 15-05-14, 55500, Build 3 20-05-14, 57482 How can I add xytext from CSV and also change format for legend and x axis?     
 
 
 
 Should be, such as:  
  plt.annotate ('some text', xy = (x [0], impression [0]))  
 
 X axis To adjust the text you can add: 
 
  fig = plt.figure () # below the import statement ... fig.autofmt_xdate () # after placing  
 
 To change legend text, use the label parameter in your plot function: 
 
  Plt.plot_date (x = day, y = impression, fmt = "r - ", label =" response time ")  
 
 that To increase the font size of the code, do this: 
 
  plt.legend (fontsize = 'x-large')

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