[Numpy-discussion] help creating a reversed cumulative histogram
Wed Sep 2 18:26:14 CDT 2009
On Wed, Sep 2, 2009 at 18:15, Tim Michelsen<email@example.com> wrote:
> Hello fellow numy users,
> I posted some questions on histograms recently [1, 2] but still couldn't
> find a solution.
> I am trying to create a inverse cumulative histogram  which shall
> look like  but with the higher values at the left.
Okay. That is completely different from what you've asked before.
> The classification shall follow this exemplary rule:
> class 1: 0
> all values > 0
> class 2: 10
> all values > 10
> class 3: 15
> all values > 15
> class 4: 20
> all values > 20
> class 5: 25
> all values > 25
> I could get this easily in a spreadsheet by creating a matix with
> conditional statements (if VALUES_COL > CLASS_BOUNDARY; VALUES_COL; '-').
> With python (numpy or pylab) I was not successful. The plotted histogram
> envelope turned out to be just the inverted curve as the one created
> with the spreadsheet app.
> sums = np.histogram(values, weights=values,
> ecdf_sums = np.hstack([0.0, sums.cumsum() ])
> ecdf_inv_sums = ecdf_sums[::-1]
This is not the kind of "inversion" that you are looking for. You want
ecdf_inv_sums = ecdf_sums[-1] - ecdf_sums
"I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by our own mad attempt to interpret it as
though it had an underlying truth."
-- Umberto Eco
More information about the NumPy-Discussion