Convert Python list to pandas Series
I understand that your list is in fact a list of lists
import pandas as pd
thelist = [ ['sentence 1'], ['sentence 2'], ['sentence 3'] ]
df = pd.Series( (v[0] for v in thelist) )
To convert the list myList
to a Pandas series use:
mySeries = pd.Series(myList)
This is also one of the basic ways for creating a series from a list in Pandas.
Example:
myList = ['string1', 'string2', 'string3']
mySeries = pd.Series(myList)
mySeries
# Out:
# 0 string1
# 1 string2
# 2 string3
# dtype: object
Note that Pandas will guess the data type of the elements of the list because a series doesn't admit mixed types (contrary to Python lists). In the example above the inferred datatype was object
(the Python string
) because it's the most general and can accommodate all other data types (see data types).
It's possible to specify a data type when creating a series:
myList= [1, 2, 3]
# inferred data type is integer
pd.Series(myList).dtype
# Out:
# dtype('int64')
myList= ['1', 2, 3]
# data type is object
pd.Series(myList).dtype
# Out:
# dtype('O')
One can specify dtype
as integer:
myList= ['1', 2.2, '3']
mySeries = pd.Series(myList, dtype='int')
mySeries.dtype
# Out:
# dtype('int64')
But this will work only if all elements in the list can be casted to the desired data type.