Pandas is great, nice write up.
One thing I do have a issue with in pandas is the type conversion on sparse data, i.e. a column with missing values. It's a pity you can convert that to a float for example.
One thing I do have a issue with in pandas is the type conversion on sparse data, i.e. a column with missing values. It's a pity you can convert that to a float for example.
myframe['myfield'] = myframe['myfield'].dropna().map(float) myframe.myfield.dropna().astype(float)
I'd need to test that out though - type conversion in pandas/NumPy has always been a little confusing for me.