Reputation: 3382
Many times when I'm trying to answer questions on Stackoverflow, the question contains a table, which I have to convert to a pandas dataframe in order to process. for example, in this question:
http://stackoverflow.com/questions/43172116/pandas-count-some-value-in-all-columns
My question is, is there a faster way to convert it to a dataframe rather than writing:
df=pd.DataFrame({'graph':[1,2,3,4,5,6],
0:['blue','blue','red','red','blue','blue'],
1:['blue','blue','red','blue','red','blue'],
2:['blue','blue','blue','red','blue','blue'],
3:['blue','blue','blue','red','red','blue'],
4:['blue','blue','red','blue','red','blue']})
given that I can copy the text:
graph 0 1 2 3 4
1 blue blue blue blue blue
2 blue blue blue blue blue
3 blue red blue blue red
4 red blue red red blue
5 red red blue red red
6 blue blue blue blue blue
Upvotes: 2
Views: 2572
Reputation: 210852
Make sure the desired data set is in clipboard and use pd.read_clipboard() method.
Step by step:
df = pd.read_clipboard()
In [40]: df = pd.read_clipboard()
In [41]: df
Out[41]:
graph 0 1 2 3 4
0 1 blue blue blue blue blue
1 2 blue blue blue blue blue
2 3 blue red blue blue red
3 4 red blue red red blue
4 5 red red blue red red
5 6 blue blue blue blue blue
Upvotes: 7