Importing pandas dataframe into elasticsearch eland,espandas or other methods?

Question

Having some issues loading a pandas dataframe into elasticsearch. Any advice would help.

from elasticsearch import Elasticsearch
import eland as ed
import pandas as pd
from re import sub

es = Elasticsearch('http://localhost:9200/')
## Create a Pandas Dataframe of Data to be Loaded into Elasticsearch
df = cuny_campus_locations

## Replace NaN (null) Values with Zero 
df.fillna(0, inplace=True)

# Rename the Columns to be Camel Case
def camel_case_string(string):
    string =  sub(r"(_|-)+", " ", string).title().replace(" ", "")
    string = string[0].lower() + string[1:]
    return string
df.columns = [camel_case_string(x) for x in df.columns]

## Save the Data into Elasticsearch
df = ed.pandas_to_eland(
    pd_df=df,
    es_client=es,
    # Where the data will live in Elasticsearch
    es_dest_index="test",
    # Type overrides for certain columns, the default is keyword
    # name has been set to free text and year to a date field.
    es_type_overrides={
        "id":"text"
    },
    # If the index already exists replace it
    es_if_exists="replace",
    # Wait for data to be indexed before returning
    es_refresh=True,
)

Are there easier methods to import dataframes into elasticsearch?