Hello,

I have created my table in Databricks, at this point everything is perfect i got the same value than in my CSV.

for my column "Exposure" I have :

0         0,00
1         0,00
2         0,00
3         0,00
4         0,00
...

But when I load my file with spark, in the column exposure I have something different:

0        14 032,24
1        14 032,24
2         8 061,94
3         8 061,94
4        15 506,37

I use this code to load by table:

import pandas as pd
 
df = spark.table("imos_prior").toPandas()
df['Exposure']

Do you know how could specify the full path of my table ?

My table is located by default in default/imos_prior

Or do you have any idea why the value could have change ? I hope is just a question of different file that is used by sparks.

Thanks you