[Python] create a FID column in shapefile in ogr or geopandas python

I need the information of the FID column from a shapefile. Somehow that column is not "shown" when you load shapefile. I need the information of that column because I need to say something like:

fid id label
1 1 forest
2 1 forest
3 2 water
4 2 water
5 3 urban

I need to know which fids belong to ids X,Y,Z, etc. I tried the following in geopandas. Is there a more efficient way of doing it using geopandas or OGR from osgeo? Thanks

import os
import geopandas as gpd
import numpy as np
from osgeo import ogr

# open the training data
train_cl_fn = os.path.join(src, "train.shp")

# read the column "id" that already exists. This id column says that feature X belongs to id Y
X_train_G = gpd.read_file(train_cl_fn)
class_ids = X_train_G["id"].unique()
print('class ids: ', class_ids)

# I create an empty array for the fids
class_fids = np.array([])
print('class labels: ', class_fids)

# add "fidl" column, using "id" and the empty array
# FID and fid are the same, therefore "fidl"
X_train_G['fidl'] = X_train_G['id'].map(dict(zip(class_ids, class_fids)))
print(X_train_G.head())

# export: rewrite file
X_train_G.to_file(os.path.join(src, "train.shp"))

# open the SAME file again, this time in ogr
train_cl_fn = os.path.join(src, "train.shp")
driver = ogr.GetDriverByName('ESRI Shapefile')
train_ds = driver.Open(train_cl_fn, 1) # 0 means read-only. 1 means writeable.
layer = train_ds.GetLayer()

for Ft in layer:
ThisID = int(Ft.GetFID())
#print('id is {}'.format(ThisID))
Ft.SetField('fidl',ThisID) # Write the FID to the fidl field
layer.SetFeature(Ft) # update the feature
dataSource = None # save/rewrite file with fid info in the fidl column

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