Stockfish evaluation of a position from PGN I am trying to get Stockfish's evaluation of a board position(which is in PGN format) using command line.I know it accepts board position in FEN format, but is there any way i can provide PGN format?
If no, how can i convert PGN format to FEN?
Is there any tool in Python which can help me out?
Yes there are easy ways to do this. I'm going to briefly show you one quick way of doing it in python, using the python-chess module.
If the in-code comments are not enough, feel free to ask for clarifications or possible extensions of the code:

To showcase a working example, I've taken a game between Adams and Kasparov, you can download the PGN from the hyperlink. And our engine is the latest Stockfish available taken from the official website.

Lets call it PGNeval.py:

import chess
import chess.uci
import chess.pgn
import sys

arguments = sys.argv
pgnfilename = str(arguments[1])

#Read pgn file:
with open(pgnfilename) as f:
    game = chess.pgn.read_game(f)

#Go to the end of the game and create a chess.Board() from it:
game = game.end()
board = game.board()

#So if you want, here's also your PGN to FEN conversion:
print 'FEN of the last position of the game: ', board.fen()

#or if you want to loop over all game nodes:
#while not game.is_end():
    #node = game.variations[0]
    #board = game.board() #print the board if you want, to make sure
    #game = node         

#Now we have our board ready, load your engine:
handler = chess.uci.InfoHandler()
engine = chess.uci.popen_engine('...\stockfish_8_x64') #give correct address of your engine here
engine.info_handlers.append(handler)

#give your position to the engine:
engine.position(board)

#Set your evaluation time, in ms:
evaltime = 5000 #so 5 seconds
evaluation = engine.go(movetime=evaltime)

#print best move, evaluation and mainline:
print 'best move: ', board.san(evaluation[0])
print 'evaluation value: ', handler.info["score"][1].cp/100.0
print 'Corresponding line: ', board.variation_san(handler.info["pv"][1])


Lets test it with the aformentioned game PGN, our command is:

python PGNeval.py adams_kasparov_2005.pgn

And here's the output I get:

FEN of the last position of the game:  br3r2/5ppk/p2pp3/4b1BP/N3P3/q4P2/1PnQB3/1K4RR w - - 4 27
best move:  Qxc2
evaluation value:  -10.87
Corresponding line:  27. Qxc2 Rfc8