I have the following lists:
sample location date spiceis sp.ab
1 001 9/10/2017 sp1 2
1 001 9/10/2017 sp2 5
1 001 9/10/2017 sp3 10
1 001 9/10/2017 sp4 2
2 002 9/11/2017 sp1 0
2 002 9/11/2017 sp2 2
2 002 9/11/2017 sp3 5
2 002 9/11/2017 sp4 5
3 003 9/12/2017 sp1 2
3 003 9/12/2017 sp2 1
3 003 9/12/2017 sp3 1
3 003 9/12/2017 sp4 0
4 004 9/13/2017 sp1 7
4 004 9/13/2017 sp2 4
4 004 9/13/2017 sp3 2
4 004 9/13/2017 sp4 9
And i would like to return a dataframe that looks like the following. Can anyone help me with this?
sample location date sp1 sp2 sp3 sp4
1 001 9/10/2017 2 5 10 2
2 002 9/11/2017 0 2 5 5
3 003 9/12/2017 2 1 1 0
4 004 9/13/2017 7 4 2 9
Assuming each row is a list and by dataframes you mean Pandas dataframes, then you can use list comprehensions to turn the list of lists into a list of tuples:
listoftuples = [tuple(l) for l in listoflists]
Then use the from_records function:
import pandas as pd
df = pd.DataFrame.from_records(listoftuples,columns=['sample','location','date','spiceis','sp.ab'])
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