Problem when writing a loop for a dataframe

I have a dataframe with two columns 'ENTRYP' and 'Status'. If the value of ENTRYP is less than or equal to 0.02, it should change the 'status' to 'ENT_EXT'. Every time it crosses that range it should add count to the Status. For example: movement1, ent_ext1, movement2, ent_Ext2. I have written the below code but it is throwing the below error

The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()

h_count = 0
current = "ENT_EXT"
current == "MOVING"

status_halt = []

for idx in df2.index:
    if (df2["ENTRYP"][idx] <= 0.02):
        if current == "MOVING":
            h_count += 1
        status_halt.append(f"ENT_EXT{h_count}")
        current = "ENT_EXT"
    elif (df2["ENTRYP"][idx] > 0.02):
        if current == "ENT_EXT":
            m_count += 1
        status_halt.append(f"MOVING_{m_count}")
        current = "MOVING"

df2["Status"] = status_halt

I have added the snippet of the dataframe and required output.

Please let me know how to proceed https://i.stack.imgur.com/K0Qsj.png