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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
- 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]
- Difference between df. where ( ) and df [ (df [ ] == ) ] in pandas . . .
Difference between df where ( ) and df [ (df [ ] == ) ] in pandas , python Asked 9 years, 1 month ago Modified 1 year, 11 months ago Viewed 17k times
- python - Renaming column names in Pandas - Stack Overflow
To focus on the need to rename of replace column names with a pre-existing list, I'll create a new sample dataframe df with initial column names and unrelated new column names
- 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)
- 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 - df. drop if it exists - Stack Overflow
df = df drop([x for x in candidates if x in df columns], axis=1) It has the benefit of readability and (with a small tweak to the code) the ability to record exactly which columns existed were dropped when
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