In [120]:

    

import csv
import pandas
import matplotlib.pyplot as plt
%matplotlib inline


    

In [127]:

    

stuff = []
while True:
    add = input("what?")
    if add == 'done':
        print("end of collection")
        print(stuff)
        break
    add = float(add)
    stuff.append(add)
    
print(stuff)
df1 = pandas.DataFrame(stuff)
df1.to_csv('lets1.csv', sep=',')
new_df = pandas.read_csv('lets1.csv')
new_df


    

    




what?1
what?10
what?20
what?563
what?24
what?118
what?done
end of collection
[1.0, 10.0, 20.0, 563.0, 24.0, 118.0]
[1.0, 10.0, 20.0, 563.0, 24.0, 118.0]






    
Out[127]:






  

    

      

      
Unnamed: 0
      
0
    
  
  

    

      
0
      
0
      
1
    
    

      
1
      
1
      
10
    
    

      
2
      
2
      
20
    
    

      
3
      
3
      
563
    
    

      
4
      
4
      
24
    
    

      
5
      
5
      
118
    
  

In [128]:

    

new_df.plot()


    

    
Out[128]:





<matplotlib.axes._subplots.AxesSubplot at 0x1099fc908>






    

In [ ]:

    

##### stuff = []
outfile = open('test2.txt', 'a')
try:
    while True:
        add = input('add')
    #     if add == 'done':
    #         print("end of collection")
    #         print(stuff)
    #         break
        add = float(add)
        outfile.write(str(add) + ",")
except KeyboardInterrupt:
    raise
    print("done-zo")


# with open('test.txt', "wb") as file:
#     writer = csv.writer(file)
#     writer.writerow([r.get_value() for r in stuff])

# with open('test.txt', 'wb') as csvfile:
#     write = csv.writer(csvfile)
#     print(type(stuff))
# #     for i in range(len(stuff)):
#     write.writerow(stuff)


    

In [82]:

    

outfile = open('test2.txt', 'a')
for i in range(len(stuff)):
    outfile.write(str(stuff[i]) + ",")
    print(i)


    

    




0
1
2
3
4
5
6
7
8

In [114]:

    

new_df


    

    
Out[114]:






  

    

      

      
Unnamed: 0
      
0
    
  
  

    

      
0
      
0
      
12
    
    

      
1
      
1
      
23
    
    

      
2
      
2
      
4
    
    

      
3
      
3
      
5346
    
    

      
4
      
4
      
457
    
  

In [ ]:

    




    

In [ ]: