How to delete just some rows in a dataframe according with some fields condition in Python?
Question:
I need to keep just the first row of a dataframe for each group of values in a ordered column.
I need to transform this (first column is ordered by name):
a = [[1,'a'],[1,'c'],[1,'b'],[2,'c'],[2,'b'],[2,'a'],[3,'d']]
into this (just the first row for each value type in the first ordered column):
a = [[1,'a'],[2,'c'],[3,'d']]
Answers:
You can even get your desire output by convert to DF and by keeping the first value of each unique values of first column. lastly, converting back to list.
Code:
import pandas as pd
a = [[1,'a'],[1,'c'],[1,'b'],[2,'c'],[2,'b'],[2,'a'],[3,'d']]
a = pd.DataFrame(a).drop_duplicates(0, keep='first').values.tolist()
I need to keep just the first row of a dataframe for each group of values in a ordered column.
I need to transform this (first column is ordered by name):
a = [[1,'a'],[1,'c'],[1,'b'],[2,'c'],[2,'b'],[2,'a'],[3,'d']]
into this (just the first row for each value type in the first ordered column):
a = [[1,'a'],[2,'c'],[3,'d']]
You can even get your desire output by convert to DF and by keeping the first value of each unique values of first column. lastly, converting back to list.
Code:
import pandas as pd
a = [[1,'a'],[1,'c'],[1,'b'],[2,'c'],[2,'b'],[2,'a'],[3,'d']]
a = pd.DataFrame(a).drop_duplicates(0, keep='first').values.tolist()