# boxplot -- how (more)

That should all be in the boxplot docstring. Do you use ipython? If
not, you should

if so, just do `plt.boxplot?` at the ipython terminal and it'll show up.
-paul

On Tue, Aug 21, 2012 at 8:56 AM, Virgil Stokes <vs@...2650...> wrote:

On 21-Aug-2012 17:50, Paul Hobson wrote:

On Tue, Aug 21, 2012 at 7:58 AM, Virgil Stokes <vs@...2650...> wrote:

In reference to my previous email.

How can I find the outliers (samples points beyond the whiskers) in the
data
used for the boxplot?

Here is a code snippet that shows how it was used for the timings data (a
list
of 4 sublists (y1,y2,y3,y4), each containing 400,000 real data values),

Again my questions:
1) How to get the value of the median?
2) How to find the outliers (outside the whiskers)?
3) How to find the width of the notch?

Virgil, the objects stuffed inside the `bp` dictionary should have
methods to retrieve their values. Let's see:

In [35]: x = np.random.lognormal(mean=1.25, sigma=1.35, size=(37,3))

In [36]: bp = plt.boxplot(x, bootstrap=5000, notch=True)

In [37]: # Question 1

medians
0: 6.339692
1: 3.449320
2: 4.503706

In [38]: # Question 2

In [39]: # Question 3

Confidence Intervals
0: lower CI: 1.760701
0: upper CI: 10.102221
1: lower CI: 1.626386
1: upper CI: 5.601927
2: lower CI: 2.173173

Hope that helps,
-paul

Just what I was looking for Paul! Thanks very much.

One final question --- Where can I find the documentation that answers my
questions and gives more details about the equations used for the width of
notch. etc.?

Thanks again

I still have a problem...
Let me show the updated code snippet again

Medians and fliers work perfectly; but, I get the following error message when trying to access the confidence intervals:

AttributeError: 'PathPatch' object has no attribute 'get_ydata'

Note, I am using boxplot with 4 sets of data and I am using matplotlib vers. 1.1.0.

Any suggestions on how to fix this problem?

On 21-Aug-2012 17:59, Paul Hobson wrote:

On Tue, Aug 21, 2012 at 8:56 AM, Virgil Stokes <vs@...2650...> wrote:

On 21-Aug-2012 17:50, Paul Hobson wrote:

On Tue, Aug 21, 2012 at 7:58 AM, Virgil Stokes <vs@...2650...> wrote:

In reference to my previous email.

How can I find the outliers (samples points beyond the whiskers) in the
data
used for the boxplot?

Here is a code snippet that shows how it was used for the timings data (a
list
of 4 sublists (y1,y2,y3,y4), each containing 400,000 real data values),

Again my questions:
1) How to get the value of the median?
2) How to find the outliers (outside the whiskers)?
3) How to find the width of the notch?

Virgil, the objects stuffed inside the `bp` dictionary should have
methods to retrieve their values. Let's see:

In [35]: x = np.random.lognormal(mean=1.25, sigma=1.35, size=(37,3))

In [36]: bp = plt.boxplot(x, bootstrap=5000, notch=True)

In [37]: # Question 1

medians
0: 6.339692
1: 3.449320
2: 4.503706

In [38]: # Question 2

In [39]: # Question 3

Confidence Intervals
0: lower CI: 1.760701
0: upper CI: 10.102221
1: lower CI: 1.626386
1: upper CI: 5.601927
2: lower CI: 2.173173

Hope that helps,
-paul

Just what I was looking for Paul! Thanks very much.

One final question --- Where can I find the documentation that answers my
questions and gives more details about the equations used for the width of
notch. etc.?

Thanks again

That should all be in the boxplot docstring. Do you use ipython? If
not, you should

if so, just do `plt.boxplot?` at the ipython terminal and it'll show up.
-paul

I found the solution,

patch_artist=False

in the boxplot call.

On 22-Aug-2012 11:23, Virgil Stokes wrote:

On 21-Aug-2012 17:59, Paul Hobson wrote:

On Tue, Aug 21, 2012 at 8:56 AM, Virgil Stokes <vs@...2650...> wrote:

On 21-Aug-2012 17:50, Paul Hobson wrote:

On Tue, Aug 21, 2012 at 7:58 AM, Virgil Stokes <vs@...2650...> wrote:

In reference to my previous email.

How can I find the outliers (samples points beyond the whiskers) in the
data
used for the boxplot?

Here is a code snippet that shows how it was used for the timings data (a
list
of 4 sublists (y1,y2,y3,y4), each containing 400,000 real data values),

Again my questions:
1) How to get the value of the median?
2) How to find the outliers (outside the whiskers)?
3) How to find the width of the notch?

Virgil, the objects stuffed inside the `bp` dictionary should have
methods to retrieve their values. Let's see:

In [35]: x = np.random.lognormal(mean=1.25, sigma=1.35, size=(37,3))

In [36]: bp = plt.boxplot(x, bootstrap=5000, notch=True)

In [37]: # Question 1

medians
0: 6.339692
1: 3.449320
2: 4.503706

In [38]: # Question 2

In [39]: # Question 3

Confidence Intervals
0: lower CI: 1.760701
0: upper CI: 10.102221
1: lower CI: 1.626386
1: upper CI: 5.601927
2: lower CI: 2.173173

Hope that helps,
-paul

Just what I was looking for Paul! Thanks very much.

One final question --- Where can I find the documentation that answers my
questions and gives more details about the equations used for the width of
notch. etc.?

Thanks again

That should all be in the boxplot docstring. Do you use ipython? If
not, you should

if so, just do `plt.boxplot?` at the ipython terminal and it'll show up.
-paul

I still have a problem...
Let me show the updated code snippet again

Medians and fliers work perfectly; but, I get the following error message when
trying to access the confidence intervals:

AttributeError: 'PathPatch' object has no attribute 'get_ydata'

Note, I am using boxplot with 4 sets of data and I am using matplotlib vers. 1.1.0.

Any suggestions on how to fix this problem?