I have a Pandas Data Frame object that has 1000 rows and 10 columns. I would simply like to slice the Data Frame and take the first 10 rows. How can I do this? I've been trying to use this:
>>> df.shape (1000,10) >>> my_slice = df.ix[10,:] >>> my_slice.shape (10,)
Shouldn't my_slice be the first ten rows, ie. a 10 x 10 Data Frame? How can I get the first ten rows, such that my_slice
is a 10x10 Data Frame object? Thanks.
Slicing a DataFrame in Pandas includes the following steps:Ensure Python is installed (or install ActivePython) Import a dataset. Create a DataFrame. Slice the DataFrame.
slice() method is used to slice substrings from a string present in Pandas series object. It is very similar to Python's basic principal of slicing objects that works on [start:stop:step] which means it requires three parameters, where to start, where to end and how much elements to skip.
http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.head.html?highlight=head#pandas.DataFrame.head
df2 = df.head(10)
should do the trick
You can also do as a convenience:
df[:10]
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