TypeError: Cannot cast array data from dtype('float64') to dtype('<U32') according to the rule 'safe'

Question

I am trying to run this code for my analysis.

import numpy as np

import pandas as pd

import xarray as xr

import matplotlib.pyplot as plt

GPCC=xr.open_dataset("sellonlat_bil_remap_GPCC_precip_2000_2015.nc")
ccsm_clm=xr.open_dataset("sellonlat_bil_remap_addc_monmean_daymean_2m_tempe_warm_new_2000-2015.nc")

tempe=GPCC['precip'].sel(time=slice('2000-01-16','2015-12 16')).groupby('time.month').mean('time',skipna=False).mean('lon').mean('lat')

tempe1=ccsm_clm['APRC'].sel(time=slice('2000-01-16','2015-12 16')).groupby('time.month').mean('time',skipna=False).mean('lon').mean('lat')

It is working well for GPCC data but showing the following error with the ccsm_clm data:

TypeError: Cannot cast array data from dtype('float64') to dtype('<U32') according to the rule 'safe'

I am looking for suggestions.