In [1]:

    

import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline
%load_ext watermark
%watermark --python --iversions


    

    




pandas     0.24.0
matplotlib 3.0.2
CPython 3.6.8
IPython 7.2.0

In [2]:

    

actions = []
results = []
for i in range(1,6):
    action = 'action-' + str(i)
    result = i
    actions.append(action)
    results.append(i)
       
df = pd.DataFrame(data = zip(actions, results), columns = ['Action_Label','Result'])
df.insert(0, 'Action_Id', range(len(actions)))
df


    

    
Out[2]:







  

    

      

      
Action_Id
      
Action_Label
      
Result
    
  
  

    

      
0
      
0
      
action-1
      
1
    
    

      
1
      
1
      
action-2
      
2
    
    

      
2
      
2
      
action-3
      
3
    
    

      
3
      
3
      
action-4
      
4
    
    

      
4
      
4
      
action-5
      
5
    
  

In [3]:

    

ax1 = df.plot.scatter(x='Action_Id', y='Result')


    

In [4]:

    

# same table
ax2 = df.plot.scatter(x='Action_Id', y='Result')

# but use action ids as ticks
_ = ax2.set_xticks(df.Action_Id)

# and use action labels as labels for ticks
_ = ax2.set_xticklabels(df.Action_Label, rotation=45)

# beware that '_' is important to "absorb" matplotlib verbose messages
# that would otherwise be displayed in the standard output (ie: screen)
#
# instead, a ';' at the end of the line may sometimes work, but not systematically


    

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