Hitting a character limit in numpy while converting to array for dataframe

Question

TLDR - Seem to be running into a character limit in numpy? There's like some imaginary character limit I'm hitting while using numpy, showing in the Visual Studio Code debugger- SyntaxError('invalid syntax', ('<string>', 1, 1, '<str_, len() = 67>'))

Am I just using numpy wrong? Is there a better way to do this?

I currently have my data in this format:

row_table_data = [["Column1Header", "Column2Header", "Column3Header"], ["Column1DataA", "Column2DataA", "Column3DataA"], ["Column1DataB", "Column2DataB", "Column3DataB"], ["Column1DataC", "Column2DataC", "Column3DataC"]]

and I want my data to look like this using in pandas:

Column1Header	Column2Header	Column3Header
Column1DataA	Column2DataA	Column3DataA
Column1DataB	Column2DataB	Column3DataB
Column1DataC	Column2DataC	Column3DataC

So my code currently is something like this:

import numpy as np
import pandas as pd

column_headers = row_table_data[0]

wanted_table_data = []
for i in range(1, len(row_table_data)):
    wanted_table_data.append(row_table_data[i])

wanted_table_data = np.asarray(wanted_table_data)
dataframe = pd.DataFrame(wanted_table_data, columns=column_headers)
print(dataframe)

This works fine if I print it:

  Column1Header Column2Header Column3Header
0  Column1DataA  Column2DataA  Column3DataA
1  Column1DataB  Column2DataB  Column3DataB
2  Column1DataC  Column2DataC  Column3DataC

But if I make one of the columns data with more text (usually over some char limit), it falls apart?

row_table_data = [["Column1Header", "Column2Header", "Column3Header"], ["Column1DataA", "Column2DataB Blah Blah Blah asdaasdasdsdasdasasass", "Column3DataA"], ["Column1DataB", "Column2DataB", "Column3DataB"], ["Column1DataC", "Column2DataC", "Column3DataC"]]

The np.asarray falls apart and my table looks like this:

   Column1Header  ... Column3Header
0  Column1DataA  ...  Column3DataA
1  Column1DataB  ...  Column3DataB
2  Column1DataC  ...  Column3DataC