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I have a string column in a table that contains values like "00123456" when I import the table into jupyter with the cmd. get_dataframe the column type becomes integer and I get the value 123456 without 00. how can i fix this problem and get the same value and data type
in my table i have 2 millions rows and when i add the parametrs infer_with_pandas=False, keep_default_na=True,limit=10000 to import just the first 10.000 rows it goes very well and the data type is not changed but with the all rows it gives an error
thank you for your answer, and if I want to import my data to have a dataframe with iter_dataframes_forced_types how can I do it because I didn't understand the code
in each column we have storage type and meaning and i want to force the meaning of a column to text with the formula or python code on a prepared recipe how can i do this ?