Docs: Fix Typos Titles

Headlines are capitalized for most words

docs/source/dev/py_postprocessing.rst

@@ -1,6 +1,6 @@
 .. _development-pytools:
 
-Python postprocessing tool structure
+Python Postprocessing Tool Structure
 ====================================
 
 Each plugin should implement at least the following Python classes.
@@ -11,8 +11,9 @@ Each plugin should implement at least the following Python classes.
    via other widgets.
 The repository directory for PIConGPU Python modules for plugins is ``lib/python/picongpu/plugins/``.
 
-Data reader
+Data Reader
 ~~~~~~~~~~~
+
 The data readers should reside in the ``lib/python/picongpu/plugins/data`` directory.
 There is a base class in ``base_reader.py`` defining the interface of a reader.
 Each reader class should derive from this class and needs to implement the following interface functions:
@@ -25,6 +26,7 @@ To shorten the import statements for the readers, please also add an entry in th
 
 Visualizer
 ~~~~~~~~~~
+
 The visualizers should reside in the ``lib/python/picongpu/plugins/plot_mpl/`` directory.
 The module names should end on ``_visualizer.py`` and the class name should only be ``Visualizer``.
 
@@ -66,8 +68,9 @@ This is called only after a valid ``self.plt_obj`` was created.
 It updates the matplotlib artist with new data.
 Therefore it again needs to access the plotting data from the ``self.data`` member and call the data update API for the matplotlib artist (normally via ``.set_data(...)``.
 
-Jupyter widget
+Jupyter Widget
 ~~~~~~~~~~~~~~
+
 The widget is essentially only a wrapper around the matplotlib visualizer that allows dynamical adjustment of the parameters the visualizer accepts for plotting.
 This allows to adjust e.g. species, filter and other plugin-dependent options without having to write new lines of Python code.
 

docs/source/usage/plugins.rst

@@ -61,7 +61,7 @@ Examples
 * ``42,30:50:10``: at steps 30 40 42 50 84 126 168 ...
 * ``5,10``: at steps 0 5 10 15 20 25 ... (only executed once per step in overlapping intervals)
 
-Python postprocessing
+Python Postprocessing
 =====================
 
 In order to further work with the data produced by a plugin during a simulation run, PIConGPU provides python tools that can be used for reading data and for visualization (at the moment only for energy_histogram, PNG and phase_space).

docs/source/usage/plugins/energyHistogram.rst

@@ -87,7 +87,7 @@ Each row describes another simulation time step.
 Analysis Tools
 ^^^^^^^^^^^^^^
 
-Data reader
+Data Reader
 """""""""""
 You can quickly load and interact with the data in Python with:
 
@@ -99,7 +99,7 @@ You can quickly load and interact with the data in Python with:
    eh_reader = EnergyHistogramData('/home/axel/runs/lwfa_001')
    counts, bins = eh_reader.get(species='e', species_filter='all', iteration=2000)
 
-Matplotlib visualizer
+Matplotlib Visualizer
 """""""""""""""""""""
 
 You can quickly plot the data in Python with:
@@ -154,7 +154,7 @@ Argument Value
 
 
 
-Jupyter widget
+Jupyter Widget
 """"""""""""""
 
 If you want more interactive visualization, then start a jupyter notebook and make
@@ -181,4 +181,4 @@ After starting the notebook server write the following
    v = EnergyHistogramVisualizer(experiment_path="path/to/scan/outputs")
    display(v)
 
-and then interact with the displayed widgets.
+and then interact with the displayed widgets.

docs/source/usage/plugins/phaseSpace.rst

@@ -61,7 +61,7 @@ In order to scale to a simpler *charge of particles* per :math:`\mathrm{d}r_i` a
 Analysis Tools
 ^^^^^^^^^^^^^^
 
-Data reader
+Data Reader
 """""""""""
 You can quickly load and interact with the data in Python with:
 
@@ -75,9 +75,7 @@ You can quickly load and interact with the data in Python with:
 
 Note that the spatial extent of the output over time might change when running a moving window simulation.
 
-
-
-Matplotlib visualizer
+Matplotlib Visualizer
 """""""""""""""""""""
 
 You can quickly plot the data in Python with:
@@ -116,8 +114,7 @@ Options                              Value
 -m (optional, defaults to 'ypy')     Momentum string to specify the phase space
 ================================     =======================================================
 
-
-Jupyter widget
+Jupyter Widget
 """"""""""""""
 
 If you want more interactive visualization, then start a jupyter notebook and make

docs/source/usage/plugins/png.rst

@@ -250,7 +250,7 @@ This naming convention allows to put all pngs in one directory and still be able
 Analysis Tools
 ^^^^^^^^^^^^^^
 
-Data reader
+Data Reader
 """""""""""
 
 You can quickly load and interact with the data in Python with:
@@ -269,7 +269,7 @@ You can quickly load and interact with the data in Python with:
 
    pngs[iters[0]].shape
 
-Matplotlib visualizer
+Matplotlib Visualizer
 """""""""""""""""""""
 
 If you are only interested in visualizing the generated png files it is
@@ -310,8 +310,7 @@ Options                            Value
 -o (optional, defaults to 'None')  A float between 0 and 1 for slice offset along the third dimension
 =================================  ==================================================================
 
-
-Jupyter widget
+Jupyter Widget
 """"""""""""""
 
 If you want more interactive visualization, then start a jupyter notebook and make
@@ -340,4 +339,4 @@ After starting the notebook server write the following
    display(v)
 
 
-and then interact with the displayed widgets.
+and then interact with the displayed widgets.