Why does this plot fail when adding scatter but it works when removing it?












0















I am using the following to plot a x date and y decimal. It works great without the commented line (scatter), but if you uncomment it it shows all in one x axis



what am I missing?



thanks



import matplotlib.pyplot as plt

import datetime



fig = plt.figure(facecolor="#979899")

ax = plt.gca()

ax.set_facecolor("#d1d1d1")

plt.grid(True)

plt.title("This is a title",fontsize=16)



plt.xticks([datetime.date(2018,11,20),datetime.date(2018,11,21),datetime.date(2018,11,22)],["11/20","11/21","11/22"])

plt.yticks([0.0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0],["0.0","0.1","0.2","0.3","0.4","0.5","0.6","0.7","0.8","0.9","1.0"])



x1 = [datetime.date(2018,11,20),datetime.date(2018,11,21),datetime.date(2018,11,22)]

y1 = [0.18,0.32,0.21]



for i,item in enumerate(y1):

    xP = x1[i]

    yP = y1[i]

    plt.text(xP,yP,str(item)+"%",fontsize=11)



#plt.scatter(x1,y1)

plt.plot(x1,y1)

plt.show()





python matplotlib







share|improve this question



























    0















    I am using the following to plot a x date and y decimal. It works great without the commented line (scatter), but if you uncomment it it shows all in one x axis



    what am I missing?



    thanks



    import matplotlib.pyplot as plt
    
import datetime
    

    
fig = plt.figure(facecolor="#979899")
    
ax = plt.gca()
    
ax.set_facecolor("#d1d1d1")
    
plt.grid(True)
    
plt.title("This is a title",fontsize=16)
    

    
plt.xticks([datetime.date(2018,11,20),datetime.date(2018,11,21),datetime.date(2018,11,22)],["11/20","11/21","11/22"])
    
plt.yticks([0.0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0],["0.0","0.1","0.2","0.3","0.4","0.5","0.6","0.7","0.8","0.9","1.0"])
    

    
x1 = [datetime.date(2018,11,20),datetime.date(2018,11,21),datetime.date(2018,11,22)]
    
y1 = [0.18,0.32,0.21]
    

    
for i,item in enumerate(y1):
    
    xP = x1[i]
    
    yP = y1[i]
    
    plt.text(xP,yP,str(item)+"%",fontsize=11)
    

    
#plt.scatter(x1,y1)
    
plt.plot(x1,y1)
    
plt.show()





    python matplotlib







    share|improve this question

























      0












      0








      0








      I am using the following to plot a x date and y decimal. It works great without the commented line (scatter), but if you uncomment it it shows all in one x axis



      what am I missing?



      thanks



      import matplotlib.pyplot as plt
      
import datetime
      

      
fig = plt.figure(facecolor="#979899")
      
ax = plt.gca()
      
ax.set_facecolor("#d1d1d1")
      
plt.grid(True)
      
plt.title("This is a title",fontsize=16)
      

      
plt.xticks([datetime.date(2018,11,20),datetime.date(2018,11,21),datetime.date(2018,11,22)],["11/20","11/21","11/22"])
      
plt.yticks([0.0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0],["0.0","0.1","0.2","0.3","0.4","0.5","0.6","0.7","0.8","0.9","1.0"])
      

      
x1 = [datetime.date(2018,11,20),datetime.date(2018,11,21),datetime.date(2018,11,22)]
      
y1 = [0.18,0.32,0.21]
      

      
for i,item in enumerate(y1):
      
    xP = x1[i]
      
    yP = y1[i]
      
    plt.text(xP,yP,str(item)+"%",fontsize=11)
      

      
#plt.scatter(x1,y1)
      
plt.plot(x1,y1)
      
plt.show()





      python matplotlib







      share|improve this question














      I am using the following to plot a x date and y decimal. It works great without the commented line (scatter), but if you uncomment it it shows all in one x axis



      what am I missing?



      thanks



      import matplotlib.pyplot as plt
      
import datetime
      

      
fig = plt.figure(facecolor="#979899")
      
ax = plt.gca()
      
ax.set_facecolor("#d1d1d1")
      
plt.grid(True)
      
plt.title("This is a title",fontsize=16)
      

      
plt.xticks([datetime.date(2018,11,20),datetime.date(2018,11,21),datetime.date(2018,11,22)],["11/20","11/21","11/22"])
      
plt.yticks([0.0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0],["0.0","0.1","0.2","0.3","0.4","0.5","0.6","0.7","0.8","0.9","1.0"])
      

      
x1 = [datetime.date(2018,11,20),datetime.date(2018,11,21),datetime.date(2018,11,22)]
      
y1 = [0.18,0.32,0.21]
      

      
for i,item in enumerate(y1):
      
    xP = x1[i]
      
    yP = y1[i]
      
    plt.text(xP,yP,str(item)+"%",fontsize=11)
      

      
#plt.scatter(x1,y1)
      
plt.plot(x1,y1)
      
plt.show()





      python matplotlib




      python matplotlib






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 24 '18 at 3:06









      RollRollRollRoll

      3,3981353113




      3,3981353113
























          2 Answers
          2






          active

          oldest

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          2














          The problem is the autoscaling of Collections. This is the underlying issue, which is long known, but hard to come by. There are certain cases, where autoscaling does not work reliably, when values are too close to each other. This is unfortunately often the case for dates.



          import matplotlib.pyplot as plt
          
import datetime
          

          
fig, ax = plt.subplots()
          

          
x1 = [datetime.date(2018,11,20),datetime.date(2018,11,22)]
          
y1 = [1,2]
          

          
plt.scatter(x1,y1, s=50, color="red")
          
plt.plot(x1,y1, marker="o", ms=3, zorder=3)
          

          
plt.show()


          enter image description here



          You can however create a plot first. This will determine the autoscaling limits sufficiently. After that plot the scatter.



          import matplotlib.pyplot as plt
          
import datetime
          

          
fig, ax = plt.subplots()
          

          
x1 = [datetime.date(2018,11,20),datetime.date(2018,11,22)]
          
y1 = [1,2]
          

          
plt.plot(x1,y1, marker="o", ms=3)
          
plt.scatter(x1,y1, s=50, color="red")
          

          
plt.show()


          enter image description here






          share|improve this answer


























          • that's a weird bug tks

            – RollRoll
            Nov 24 '18 at 17:51



















          1














          try setting the limits for both x and y axes:



          plt.scatter(x1,y1)
          
plt.plot(x1,y1)
          
plt.xlim(datetime.date(2018,11,20),datetime.date(2018,11,22))
          
plt.ylim(0.1,0.4)
          
plt.show()





          share|improve this answer























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            2 Answers
            2






            active

            oldest

            votes








            2 Answers
            2






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            2














            The problem is the autoscaling of Collections. This is the underlying issue, which is long known, but hard to come by. There are certain cases, where autoscaling does not work reliably, when values are too close to each other. This is unfortunately often the case for dates.



            import matplotlib.pyplot as plt
            
import datetime
            

            
fig, ax = plt.subplots()
            

            
x1 = [datetime.date(2018,11,20),datetime.date(2018,11,22)]
            
y1 = [1,2]
            

            
plt.scatter(x1,y1, s=50, color="red")
            
plt.plot(x1,y1, marker="o", ms=3, zorder=3)
            

            
plt.show()


            enter image description here



            You can however create a plot first. This will determine the autoscaling limits sufficiently. After that plot the scatter.



            import matplotlib.pyplot as plt
            
import datetime
            

            
fig, ax = plt.subplots()
            

            
x1 = [datetime.date(2018,11,20),datetime.date(2018,11,22)]
            
y1 = [1,2]
            

            
plt.plot(x1,y1, marker="o", ms=3)
            
plt.scatter(x1,y1, s=50, color="red")
            

            
plt.show()


            enter image description here






            share|improve this answer


























            • that's a weird bug tks

              – RollRoll
              Nov 24 '18 at 17:51
















            2














            The problem is the autoscaling of Collections. This is the underlying issue, which is long known, but hard to come by. There are certain cases, where autoscaling does not work reliably, when values are too close to each other. This is unfortunately often the case for dates.



            import matplotlib.pyplot as plt
            
import datetime
            

            
fig, ax = plt.subplots()
            

            
x1 = [datetime.date(2018,11,20),datetime.date(2018,11,22)]
            
y1 = [1,2]
            

            
plt.scatter(x1,y1, s=50, color="red")
            
plt.plot(x1,y1, marker="o", ms=3, zorder=3)
            

            
plt.show()


            enter image description here



            You can however create a plot first. This will determine the autoscaling limits sufficiently. After that plot the scatter.



            import matplotlib.pyplot as plt
            
import datetime
            

            
fig, ax = plt.subplots()
            

            
x1 = [datetime.date(2018,11,20),datetime.date(2018,11,22)]
            
y1 = [1,2]
            

            
plt.plot(x1,y1, marker="o", ms=3)
            
plt.scatter(x1,y1, s=50, color="red")
            

            
plt.show()


            enter image description here






            share|improve this answer


























            • that's a weird bug tks

              – RollRoll
              Nov 24 '18 at 17:51














            2












            2








            2







            The problem is the autoscaling of Collections. This is the underlying issue, which is long known, but hard to come by. There are certain cases, where autoscaling does not work reliably, when values are too close to each other. This is unfortunately often the case for dates.



            import matplotlib.pyplot as plt
            
import datetime
            

            
fig, ax = plt.subplots()
            

            
x1 = [datetime.date(2018,11,20),datetime.date(2018,11,22)]
            
y1 = [1,2]
            

            
plt.scatter(x1,y1, s=50, color="red")
            
plt.plot(x1,y1, marker="o", ms=3, zorder=3)
            

            
plt.show()


            enter image description here



            You can however create a plot first. This will determine the autoscaling limits sufficiently. After that plot the scatter.



            import matplotlib.pyplot as plt
            
import datetime
            

            
fig, ax = plt.subplots()
            

            
x1 = [datetime.date(2018,11,20),datetime.date(2018,11,22)]
            
y1 = [1,2]
            

            
plt.plot(x1,y1, marker="o", ms=3)
            
plt.scatter(x1,y1, s=50, color="red")
            

            
plt.show()


            enter image description here






            share|improve this answer















            The problem is the autoscaling of Collections. This is the underlying issue, which is long known, but hard to come by. There are certain cases, where autoscaling does not work reliably, when values are too close to each other. This is unfortunately often the case for dates.



            import matplotlib.pyplot as plt
            
import datetime
            

            
fig, ax = plt.subplots()
            

            
x1 = [datetime.date(2018,11,20),datetime.date(2018,11,22)]
            
y1 = [1,2]
            

            
plt.scatter(x1,y1, s=50, color="red")
            
plt.plot(x1,y1, marker="o", ms=3, zorder=3)
            

            
plt.show()


            enter image description here



            You can however create a plot first. This will determine the autoscaling limits sufficiently. After that plot the scatter.



            import matplotlib.pyplot as plt
            
import datetime
            

            
fig, ax = plt.subplots()
            

            
x1 = [datetime.date(2018,11,20),datetime.date(2018,11,22)]
            
y1 = [1,2]
            

            
plt.plot(x1,y1, marker="o", ms=3)
            
plt.scatter(x1,y1, s=50, color="red")
            

            
plt.show()


            enter image description here







            share|improve this answer














            share|improve this answer



            share|improve this answer








            edited Nov 29 '18 at 13:40

























            answered Nov 24 '18 at 3:23









            ImportanceOfBeingErnestImportanceOfBeingErnest

            132k13144219




            132k13144219













            • that's a weird bug tks

              – RollRoll
              Nov 24 '18 at 17:51



















            • that's a weird bug tks

              – RollRoll
              Nov 24 '18 at 17:51

















            that's a weird bug tks

            – RollRoll
            Nov 24 '18 at 17:51





            that's a weird bug tks

            – RollRoll
            Nov 24 '18 at 17:51













            1














            try setting the limits for both x and y axes:



            plt.scatter(x1,y1)
            
plt.plot(x1,y1)
            
plt.xlim(datetime.date(2018,11,20),datetime.date(2018,11,22))
            
plt.ylim(0.1,0.4)
            
plt.show()





            share|improve this answer




























              1














              try setting the limits for both x and y axes:



              plt.scatter(x1,y1)
              
plt.plot(x1,y1)
              
plt.xlim(datetime.date(2018,11,20),datetime.date(2018,11,22))
              
plt.ylim(0.1,0.4)
              
plt.show()





              share|improve this answer


























                1












                1








                1







                try setting the limits for both x and y axes:



                plt.scatter(x1,y1)
                
plt.plot(x1,y1)
                
plt.xlim(datetime.date(2018,11,20),datetime.date(2018,11,22))
                
plt.ylim(0.1,0.4)
                
plt.show()





                share|improve this answer













                try setting the limits for both x and y axes:



                plt.scatter(x1,y1)
                
plt.plot(x1,y1)
                
plt.xlim(datetime.date(2018,11,20),datetime.date(2018,11,22))
                
plt.ylim(0.1,0.4)
                
plt.show()






                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 24 '18 at 3:13









                tengteng

                842721




                842721






























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