QST: Why does Pandas change data type from object to float after reading 32768 rows from CSV file?
- [x] I have searched the [[pandas] tag](https://stackoverflow.com/questions/tagged/pandas) on StackOverflow for similar questions.

- [x] I have asked my usage related question on [StackOverflow](https://stackoverflow.com).

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#### Question about pandas
Using Pandas 1.0.3.

I have a CSV with 43,00 rows. I noticed that one of the columns is object type even though it has floats.  It looks like this happened because a few records contain a string that reads 'Bad Input'.  However, after 32768 rows, the data becomes floats.  I found it strange that this happens after exactly 32K rows.

I've used Pandas for a few years now, but I've never seen an inconsistency like this.

Is this a bug?  How do I work around this?


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```python
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