What is the method to convert a Python list of strings to a pd.Series
object?
(pandas Series objects can be converted to list using tolist()
method--but how to do the reverse conversion?)
Pandas series can be converted to a list using tolist() or type casting method. There can be situations when you want to perform operations on a list instead of a pandas object. In such cases, you can store the DataFrame columns in a list and perform the required operations.
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.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With