[] Data Analysis & Data Mining salary distribution histogram

1  # salary levels of employees in a company between [3500,35000] and has a total of 55 individual 
2  # for everyone to custom groups to view the salary levels of most of the staff to do the salary guide to the company. 
. 3  Import matplotlib.pyplot AS PLT
 . 4  Import numpy AS NP
 . 5  
. 6  plt.figure ()
 . 7  
. 8 plt.rcParams [ ' font.sans serif- ' ] = ' SimHei ' 
. 9 plt.rcParams [ ' axes.unicode_minus ' ] = False
 10  
. 11 Data = np.random.randint (= 3500 Low, High = 35000, size = 33 is )
 12 is Group_Num 10 =
 13 is= data.max PTP () - data.min ()
 14 STEP = int (np.ceil (PTP / Group_Num))
 15 bins = np.arange (data.min (), data.max () + STEP, STEP)
 16 plt.hist (Data, bins = bins, Color = " # EEE685 " , edgecolor = " # 8B864E " )
 . 17  
18 is plt.xlabel ( " salary (RMB) " )
 . 19 plt.ylabel ( " the number (a) " )
 20 is plt.title ( " payroll histogram " )
 21 is  
22 is xticks np.arange = (3500, 35001, 3150 )
 23 is plt.xticks (bins, xticks)
 24 yticks np.arange = (0, 10 )
 25  plt.yticks (yticks)
 26 is plt.grid (True, Axis = " Y " , Alpha = 0.2 )
 27  plt.show ()
 28  
29  
30  # salary levels of employees in a company between [3500,35000] and has a total of 55 individuals 
31  # so that we own custom groups to view the salary levels of most of the staff to do the salary guide to the company.