Change column type in pandas

Question

I want to convert a table, represented as a list of lists, into a Pandas DataFrame. As an extremely simplified example:

a = [[\'a\', \'1.2\', \'         


        

Answer 1

When I've only needed to specify specific columns, and I want to be explicit, I've used (per DOCS LOCATION):

dataframe = dataframe.astype({'col_name_1':'int','col_name_2':'float64', etc. ...})

So, using the original question, but providing column names to it ...

a = [['a', '1.2', '4.2'], ['b', '70', '0.03'], ['x', '5', '0']]
df = pd.DataFrame(a, columns=['col_name_1', 'col_name_2', 'col_name_3'])
df = df.astype({'col_name_2':'float64', 'col_name_3':'float64'})