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Good complete picture of the df When you want 3 columns reordered. If you're looking for a number you can use programatically then df.shape [0].

Question what are the differences between the following commands When you just want 2 columns swapped I import a dataframe via read_csv, but for some reason can't extract the year or month from the series df['date'], trying that gives attributeerror

'series' object has no attribute 'year'

That might work for your case, but in op's case,.loc[1,0] raises keyerror Maybe you meant.iloc instead, but then, doing df.isnull() on the whole dataframe is wasteful when you just want one value I just updated the question to say that btw. 15 ok, lets check the man pages

While df is to show the file system usage, du is to report the file space usage Du works from files while df works at filesystem level, reporting what the kernel says it has available. Df[df['b'].str.strip().astype(bool)] a b 0 0 foo 2 2 bar 4 4 xyz faster than you think.astype is a vectorised operation, this is faster than every option presented thus far At least, from my tests

Here is a timing comparison, i've thrown in some other methods i could think of

I'm trying to use python to read my csv file extract specific columns to a pandas.dataframe and show that dataframe However, i don't see the data frame, i receive series([], dtype I have constructed a condition that extracts exactly one row from my dataframe Like usual, i'm probably missing something

Df, both mine and his, is a dataframe Df=df.reindex(columns=neworder) however, as you can see, i only want to swap two columns It was doable just because there are only 4 column, but what if i have like 100 columns What would be an effective way to swap or reorder columns

There might be 2 cases

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