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disk usage - Differences between df, df -h, and df -l - Ask Ubuntu
Question What are the differences between the following commands? df df -h df -l Feedback Information is greatly appreciated Thank you
In pandas, whats the difference between df[column] and df. column?
The book typically refers to columns of a dataframe as df['column'] however, sometimes without explanation the book uses df column I don't understand the difference between the two
Selecting multiple columns in a Pandas dataframe - Stack Overflow
So your column is returned by df['index'] and the real DataFrame index is returned by df index An Index is a special kind of Series optimized for lookup of its elements' values For df index it's for looking up rows by their label That df columns attribute is also a pd Index array, for looking up columns by their labels
How do I get the row count of a Pandas DataFrame?
could use df info () so you get row count (# entries), number of non-null entries in each column, dtypes and memory usage Good complete picture of the df If you're looking for a number you can use programatically then df shape [0]
How can I iterate over rows in a Pandas DataFrame?
I have a pandas dataframe, df: c1 c2 0 10 100 1 11 110 2 12 120 How do I iterate over the rows of this dataframe? For every row, I want to access its elements (values in cells) by the n
Difference between df. where ( ) and df [ (df [ ] == ) ] in pandas . . .
Difference between df where ( ) and df [ (df [ ] == ) ] in pandas , python Asked 9 years, 2 months ago Modified 1 year, 11 months ago Viewed 17k times
What is the meaning of `df [df [factor]]` syntax in Pandas?
The second df in df[df['factor']] refers to the DataFrame on which the boolean indexing is being performed The boolean indexing operation [df['factor']] creates a boolean mask that is a Series of True and False values with the same length as the DataFrame
Why do df and du commands show different disk usage?
15 Ok, lets check the man pages: df - report file system disk space usage and du - estimate file space usage Those two tools were meant for different propose 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
python - What is df. values [:,1:]? - Stack Overflow
df values returns a numpy array with the underlying data of the DataFrame, without any index or columns names [:, 1:] is a slice of that array, that returns all rows and every column starting from the second column (the first column is index 0)