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Good complete picture of the df Df, both mine and his, is a dataframe If you're looking for a number you can use programatically then df.shape [0].

Question what are the differences between the following commands Like usual, i'm probably missing something 'datetime64[ns]'}) worked by the way

I just saw 64 ns and thought it wanted the time in nanoseconds.

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. 0 df.values is gives us dataframe values as numpy array object

Df.values [:, 1:] is a way of accessing required values with indexing it means all the rows and all columns except 0th index column in dataframe. I have constructed a condition that extracts exactly one row from my 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 When you just want 2 columns swapped When you want 3 columns reordered. 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 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.

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