Pandas - read csv stored as string in memory to data frame

Question

With comma separated text stored in a var like below

data = """
Class,Name,Long,Lat
A,ABC11,139.6295542,35.61144069
A,ABC20,139.630596,35.61045559
A,ABC03,139.6300307,35.61327781
B,ABC54,139.7787818,35.68847945
B,ABC05,139.7814447,35.6816882
B,ABC06,139.7788191,35.681865
B,ABC24,139.7790396,35.67781697
"""

is there a quick way to read this into a pandas data frame without have to store to a file and use pd.read_csv(). I'm coming from R and it provides a nice way to do this like below.

text <- "
State,District,County,Num Voters,Total Votes in State,Votes for None,Candidate Name,Party,Votes Scored
CA,San Diego,Delmar,190962,48026634,2511,A1,IND,949
CA,San Diego,Delmar,190962,48026634,2511,A2,RP(K),44815
"
df <- read.table(textConnection(text), sep = ",", header = TRUE)

Answer 1

With io.StringIO object (in-memory stream for text I/O):

import pandas as pd
from io import StringIO

data = """
Class,Name,Long,Lat
A,ABC11,139.6295542,35.61144069
A,ABC20,139.630596,35.61045559
A,ABC03,139.6300307,35.61327781
B,ABC54,139.7787818,35.68847945
B,ABC05,139.7814447,35.6816882
B,ABC06,139.7788191,35.681865
B,ABC24,139.7790396,35.67781697
"""

df = pd.read_csv(StringIO(data))
print(df)

The output:

  Class   Name        Long        Lat
0     A  ABC11  139.629554  35.611441
1     A  ABC20  139.630596  35.610456
2     A  ABC03  139.630031  35.613278
3     B  ABC54  139.778782  35.688479
4     B  ABC05  139.781445  35.681688
5     B  ABC06  139.778819  35.681865
6     B  ABC24  139.779040  35.677817