format

Lets say I have r = pd.DataFrame({'A':1 , 'B':pd.Series(1,index=list(range(4)),dtype='float32')}) And r['B'].describe()[['mean','std','min','max']] gives an output : mean 1.0 std 0.0 min 1.0 max 1.0 Name: B, dtype: float64 But from the above output , how should I get rid or suppress the last line " Name:B, dtype: float64 " I figured out one way to achieve this x=r['B'].describe()[['mean','std','min','max']] print "mean ",x['mean'],"\nstd ",x['std'],"\nmin ",x['min'],"\nmax ",x['max'] which gives the desired output : mean 1.0 std 0.0 min 1.0 max 1.0 Is there any cleaner to achieve this output

I am trying to find the position of the first Central Directory file header in a Zip file. I'm reading these: http://en.wikipedia.org/wiki/Zip_(file_format ) http://www.pkware.com/documents/casestudies/APPNOTE.TXT As I see it, I can only scan through the Zip data, identify by the header what kind of section I am at, and then do that until I hit the Central Directory header. I would obviously read the File Headers before that and use the "compressed size" to skip the actual data, and not for-loop through every byte in the file... If I do it like that, then I practically already know all the

Before using String.Format to format a string in C#, I would like to know how many parameters does that string accept? For eg. if the string was "{0} is not the same as {1}", I would like to know that this string accepts two parameters For eg. if the string was "{0} is not the same as {1} and {2}", the string accepts 3 parameters How can I find this efficiently? Rubens Farias String.Format receives a string argument with format value, and an params object[] array, which can deal with an arbitrary large value items. For every object value, it's .ToString() method will be called to resolve that