How do I modify this script to affect bones instead of shape keys?

Question

import bpy
import csv
import numpy as np
data_path = 'C:/Users/E/Desktop/example.csv'
ob = bpy.context.object

with open(data_path, 'r') as f:
    reader = csv.reader(f, delimiter=',')
    names = next(reader)
    data = np.array(list(reader))
shapekeys = ob.data.shape_keys.key_blocks
for i in range(data.shape[0]):
    if data[i][1] != '0':
        
        for shape in shapekeys:
            if shape.name in names:
                index = names.index(shape.name)
                shape.value=float(data[i][index])                
                shape.keyframe_insert("value", frame=i)

# The script does all the data mining to get the needed values. 
# It allocates 3 values needed to utilize
# shape.name = bone name
# shape.value = location Y
# current frame = i
# I added these lines below but it doesn't work
    
    pb = ob.pose.bones.get(shape.name)
    if pb:
        pb.location.y = shape.value
        pb.keyframe_insert("location", i ) # y location

This script gives me an error "armature object has no attribute" So what is it that is needed to make this script allocate bone values locations Y?

Answer 1

Something like?

Speculating that the data file is akin to

name value
Bone 10.0
Bone.001 22

and using a string to emulate the file, ie data.splitlines() to emulate a text file buffer. Example below, pose bone "Bone" keyframe location 0 at frame 0,
Run script with the armature object active and not in edit mode.

import bpy
import csv 

context = bpy.context
ob = context.object
frames_per_line = 20

data = '''Bone, 0
Bone.001, 0.4
Bone.002,  1.0
Bone, 10
Bone, 20
Bone.002, -2.9'''

for frame, (name, value) in enumerate(csv.reader(data.splitlines())):

    pb = ob.pose.bones.get(name)
    if pb:
        pb.location.y = float(value)
        pb.keyframe_insert(
                "location",
                 index=1,
                 frame=frames_per_line * frame
             ) # y location