flint doc for stat curves

doc/docs/flint/examples_mesh_rendering.md

@@ -18,7 +18,7 @@ This scans have to be created usually per beamline in a very specific way.
 
 For this examples we will use a function to simulate them.
 
-```
+```python
 import gevent
 import numpy
 from bliss.scanning.group import Sequence
@@ -53,7 +53,7 @@ This example create a regular scatter.
 
 ![Regular scatter in Flint](img/scan_info/regular-scatter.png)
 
-```
+```python
 from bliss.scanning.scan_info import ScanInfo
 import numpy
 
@@ -109,7 +109,7 @@ For now only Flint will only display the last frame.
 
 ![Regular scatter in Flint](img/scan_info/regular-scatter-3d.png)
 
-```
+```python
 from bliss.scanning.scan_info import ScanInfo
 import numpy
 
@@ -157,7 +157,7 @@ That's what we simulate here. `axis1` and `axis2` are also provided as
 
 ![Axis and encoder together](img/scan_info/scatter-encoder.png)
 
-```
+```python
 from bliss.scanning.scan_info import ScanInfo
 import numpy
 
@@ -217,7 +217,7 @@ used to know the amount of pixels to used per axis.
 
 ![Non-regular scatter in Flint](img/scan_info/irregular-scatter.png)
 
-```
+```python
 from bliss.scanning.scan_info import ScanInfo
 import numpy
 
@@ -255,7 +255,7 @@ This also can work for extra dimensions with steppers.
 
 ![Non-regular scatter in Flint](img/scan_info/irregular-scatter-3d.png)
 
-```
+```python
 from bliss.scanning.scan_info import ScanInfo
 import numpy
 

doc/docs/flint/flint_data_plotting.md

@@ -8,7 +8,7 @@ with the data to be displayed.
 
 ## Basic plot display
 
-A generic display is provided through the BLISS `plot` command.
+A generic display is provided through the BLISS `plot()` command.
 
 It checks the data dimensionality to select the kind of charts.
 
@@ -40,7 +40,7 @@ plot(cube)
 
 To use more features another way is provided.
 
-First a plot have to be created from Flint.
+First a plot has to be created from Flint.
 
 The first argument (here `curve`) is used to select the kind of expected plot.
 See the following documentation for example of each kind.
@@ -384,7 +384,7 @@ p.export_to_logbook()
 
 From a scripts Flint also can be used to display plot.
 
-The `plot` command can be imported the following way:
+The `plot()` command can be imported the following way:
 
 ```python
 from bliss.common.plot import plot

doc/docs/flint/index.md

@@ -55,7 +55,7 @@ From BLISS shell, few basic interaction with Flint are provided.
 
 To invoke or retrieve a proxy to interact with Flint you can use:
 
-```
+```python
 flint()
 ```
 
@@ -65,7 +65,7 @@ flint()
 
 The returned object provides few methods to close the application:
 
-```
+```python
 f = flint()
 f.close()    # request a normal close of the application
 f.kill()     # kill
@@ -77,7 +77,7 @@ f.kill9()    # kill -9
 If your window manager provides this feature, you can force the focus on the
 application this way:
 
-```
+```python
 f = flint()
 f.focus()
 ```

doc/docs/flint/live_curve.md

@@ -4,6 +4,33 @@ If the scan contains counters, the curve widget will be displayed automatically.
 
 ![Flint screenshot](img/flint-curve-widget.png)
 
+
+## Statistic tools
+
+Some statistics can be added to the graph as curve or markers.
+
+By clicking on the "Create new items in the plot" ![Flint
+screenshot](img/curve_icon_add_curve.png) icon, a new curve or marker can be
+added to represent a calculation based on the current curve.
+
+The statistical filters available are:
+
+* Max marker
+* Min marker
+* Derivative function
+* Negative function
+* Gaussian fit
+* Normalized function
+* Normalized range
+* Sliding windows mean
+
+For example, on this plot, min/max markers and a 11-points sliding window mean
+have been added.
+
+![Curve statistics](img/curve_statistics.png)
+
+
+
 ## Compare scans
 
 A tool provided in the property tool bar allow to compare scans.