Hello. Could someone please explain why iteration over a Pyspark dataframe is way slower than over a Pandas dataframe?

Pyspark

df_list = df.collect()

for index in range(0, len(df_list )):

.....

Pandas

df_pnd = df.toPandas()           

for index, row in df_pnd.iterrows():

....

Thank you in advance