python - matplotlib: Change grid interval and specify tick labels -

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I am trying to plot the plot in the disorganized plots, but I did not understand that I How do i go I want to:

(1) There are dotted grid at a gap of 5

(2) Only large tile labels are

(3) I

(4) "Count" within those grids,

I have probably tested such a duplicate, but I could not find it.

This is my code. 

  import Matplotlibkpyplot Matplotlibkticker import MultipleLocator, as plt value in FormatStrFormatter key, Sort (data.items ()): X = value [0] [2] Y = value [0] [3] count = value [0] [4] fig = PLT.figer () ax = fig. Ada_sbplot (111) Kulhadhiknotet (calculated, Aksai = (x, y), size = 5) # overwritten and I only get the final data point Pltkclose () # fail without this, I assign "Bitmap "Error plt.suptitle ('number of numbers', fontsize = 12) ax.set_xlabel ('x') ax.set_ylabel plt.axes (). ( 'Y') set_aspect ( 'equal') plt.axis ([0, 1000, 0, 1000]) # This gives a gap 200 Main Loketr = Multiple Locator (20) Pramukfarmr = format Stiarformr ( '% d') small labels or = MultipleLocator (5) # I minor grid 5 and major grid I want to be for the 20 plt.grid () filename = 'C: \ Users \ owl \ Desktop \ Plot.png' plt.savefig (file Name, dpi = 150) Plt.close ()   
 This is what I get.  
 This is what I get.  
 I have data There is a problem in overwriting the points, I too have trouble in it ... can anyone help me with this problem?   
 
 
 There are several problems with your code.  
 The first large numbers:  
     
  1.  
     You are creating a new figure and a new ax in every iteration of your loop - & gt; Put  fig = plt.figure  and  ax = fig.add_subplot (1,1,1)  outside of the loop   
  2.  
     Do not use the locks, call the function  ax.set_xticks ()  and  ax.grid ()  the right keyword.   
  3.  
     With  plt.axes ()  you are creating a new axis again: small things: you  plt.axis Like the syntax, matlab should not be mixed with  ax.set_aspect ('equal')     
     use ()  purpose Use the  ax.set_xlim (a, b)  and  ax.set_ylim (a, b)   
     with syntax to minimize it Should:  
      plt fig = plt.figure () ax = fig.add_subplot (1,1,1) # major tick every 20, minor tick every 5 m Ajor_ticks = NP import as import matplotlib.pyplot as numpy. arange (0, 101, 20) minor_ticks = np.arange (0, 101, 5) ax.set_xticks (major_ticks) ax.set_xticks (minor_ticks, minor = true) ax.set_yticks (major_ticks) ax.set_yticks (minor_ticks, minor = right) # and related grid ax.grid (which = 'both') # or if you want differnet settings for the grid are: ax.grid (which = 'minor', alpha = 0.2) ax.grid (which = 'key ', Alpha = 0.5) plt.show ()   
     The output is:  Plot output

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