ValueError: DataFrame constructor not properly called (Databricks/Python)

I'm trying to setup a Pandas Dataframe for processing my data in Databricks. My data is imported from a file on my local machine as seen below: Snip of the data

# Import packages
import pandas as pd
import numpy as np

ownr = spark.read.format("csv").load("dbfs:/FileStore/shared_uploads/directory/carsownr.csv")

# View the shape and data types
#print(ownr.shape)
print(ownr.dtypes);

#Setup Dataframes
df1 = pd.DataFrame(data=ownr);

And when I run this, I get the following error message:

ValueError: DataFrame constructor not properly called!
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<command-3703442649830271> in <module>
      1 #Setup Dataframes
----> 2 df1 = pd.DataFrame(data=ownr);
      3 df2 = pd.DataFrame(data=curr);

/databricks/python/lib/python3.7/site-packages/pandas/core/frame.py in __init__(self, data, index, columns, dtype, copy)
    507                 )
    508             else:
--> 509                 raise ValueError("DataFrame constructor not properly called!")?
    510 
    511         NDFrame.__init__(self, mgr, fastpath=True)

ValueError: DataFrame constructor not properly called!

I thought it may be because of my data, so I checked and all the fields are strings. Will I need to convert each column/field to the appropriate datatype for it to successfully be added in the dataframe?

I've searched the forums for similar error messages, but couldn't find a relevant one. I'd appreciate any help possible, thanks!