pythonmatplotlibwxpython
(wxpython) make the matplotlib NavigationToolbar static for a figure inside scrolledpanel
I have a Matplotlib figure with a lot of subplots which needs a ScrolledPanel. Now I want a navigation toolbar for the figure which remains static when the figure panel is scrolled.
I tried adding it to another panel than the canvas's parent but that does not work(navigation toolbar remains inside canvas's parent only).
Is there any way to have the matplotlib navigation toolbar remain static but making rest of the canvas scrollable?
Here's my complete code:
import wx
import wx.lib.scrolledpanel
import matplotlib
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
from matplotlib.backends.backend_wxagg import NavigationToolbar2WxAgg as NavigationToolbar
from matplotlib.figure import Figure
import wx.lib.inspection
matplotlib.use('WXAgg')
class PlotDemoApp(object):
def __init__(self, data):
self.app = wx.App()
self.frame = PlotCanvas(None, -1, "PlotCanvas", data)
self.frame.Show(True)
wx.lib.inspection.InspectionTool().Show()
self.app.MainLoop()
class PlotCanvas(wx.Frame):
def __init__(self, parent, wxid, title, data):
wx.Frame.__init__(self, parent, wxid, title)
self.box_main = wx.BoxSizer(wx.VERTICAL)
panel_lower = wx.lib.scrolledpanel.ScrolledPanel(self, size=(2500,-1))
panel_lower.SetupScrolling()
panel_lower.SetBackgroundColour("White")
self.box_lower = wx.BoxSizer(wx.HORIZONTAL)
box_local = wx.BoxSizer(wx.VERTICAL)
plt = Figure(figsize=(95,10))
num_columns = len(data.columns)
axes_1 = plt.add_subplot(1, num_columns, 1)
data_numpy = data[data.columns[0]].to_numpy()
depth = data.index.to_numpy()
plt.gca().invert_yaxis()
plt.subplots_adjust(left=0.01, right=1.00, top=0.95, bottom=0.05)
axes_1.plot(data_numpy, depth)
for i in range(1, num_columns):
axes_tmp = plt.add_subplot(1, num_columns, i+1, sharey=axes_1)
axes_tmp.set(xlabel=data.columns[i], ylabel='Depth', title='Depth vs ' + data.columns[i])
data_numpy = data[data.columns[i]].to_numpy()
plt.gca().invert_yaxis()
axes_tmp.plot(data_numpy, depth)
canvas = FigureCanvas(panel_lower, -1, plt)
canvas.draw()
box_local.Add(canvas, 1, wx.EXPAND)
panel_nav = wx.Panel(self)
box_nav = wx.BoxSizer(wx.HORIZONTAL)
toolbar = NavigationToolbar(canvas)
box_nav.Add(toolbar)
panel_nav.SetSizer(box_nav)
toolbar.Realize()
self.box_main.Add(panel_nav, 0, wx.CENTER)
self.box_lower.Add(box_local, 1, wx.EXPAND)
self.box_main.Add(panel_lower, 1, wx.EXPAND)
panel_lower.SetSizer(self.box_lower)
self.SetSizer(self.box_main)
self.box_main.Layout()
data here is a pandas dataframe
Sample data:
| index | BS | CAL |
|-------|------|------|
| 162 | 17.5 | 17.4 |
| 163 | 17.8 | 17.7 |
| 164 | 17.8 | 17.9 |
Solution
Hopefully this is what you are after or at the least points you in the right direction.
The matplotlib navigation toolbar seems to be welded to the plot itself but it can be hidden.
Whilst it remains hidden, its functions are still available, so we can create our own toolbar and assign to it the functions in the hidden toolbar.
Like this:
import wx
import wx.lib.scrolledpanel as scrolled
import pandas as pd
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
from matplotlib.backends.backend_wxagg import NavigationToolbar2WxAgg as NavigationToolbar
from matplotlib.figure import Figure
# images in /usr/share/matplotlib/mpl-data/images
# Your system may differ!
class PlotPanel(scrolled.ScrolledPanel):
def __init__(self,parent):
scrolled.ScrolledPanel.__init__(self, parent)
self.SetupScrolling(scroll_x=True, scroll_y=True, scrollToTop=False, scrollIntoView=False)
self.ShowScrollbars(True,True)
self.plt = Figure(figsize=(95,10))
self.canvas = FigureCanvas(self,-1, self.plt)
self.toolbar = NavigationToolbar(self.canvas)
#Hide the Matplotlib toolbar because we are going to create own own
#but use the functions of this toolbar.
self.toolbar.Hide()
def plot(self):
d = {'BS':[17.54,17.55,17.54,17.53,17.55,17.54],'CAL':[17.46,17.47,17.49,17.44,17.47,17.49]}
data = pd.DataFrame(d, index=['1','2','3','4','5','6'])
num_columns = len(data.columns)
axes_1 = self.plt.add_subplot(1, num_columns, 1)
#data_numpy = data[data.columns[0]].to_numpy() # My version of pandas doesn't have .to_numpy()
data_numpy = data[data.columns[0]]
#depth = data.index.to_numpy()
depth = data.index
self.plt.gca().invert_yaxis()
self.plt.subplots_adjust(left=0.01, right=0.50, top=0.95, bottom=0.05)
axes_1.plot(data_numpy, depth)
for i in range(0, num_columns):
axes_tmp = self.plt.add_subplot(1, num_columns, i+1, sharey=axes_1)
axes_tmp.set(xlabel=data.columns[i], ylabel='Depth', title='Depth vs ' + data.columns[i])
#data_numpy = data[data.columns[i]].to_numpy()
data_numpy = data[data.columns[i]]
self.plt.gca().invert_yaxis()
axes_tmp.plot(data_numpy, depth)
self.canvas.draw()
self.SetSize(self.canvas.GetSize())
class TestFrame(wx.Frame):
def __init__(self,parent,title):
wx.Frame.__init__(self,parent,title=title,size=(600,600))
self.p1 = PlotPanel(self)
#Create our own toolbar
toolbar = self.CreateToolBar(style=wx.TB_HORIZONTAL|wx.TB_DOCKABLE|wx.TB_TEXT)
hometool = toolbar.AddTool(wx.ID_ANY, 'Home', wx.Bitmap('/usr/share/matplotlib/mpl-data/images/home.png'))
backtool = toolbar.AddTool(wx.ID_ANY, 'Back', wx.Bitmap('/usr/share/matplotlib/mpl-data/images/back.png'))
fwdtool = toolbar.AddTool(wx.ID_ANY, 'Forward', wx.Bitmap('/usr/share/matplotlib/mpl-data/images/forward.png'))
pantool = toolbar.AddTool(wx.ID_ANY, 'Pan', wx.Bitmap('/usr/share/matplotlib/mpl-data/images/move.png'))
zoomtool = toolbar.AddTool(wx.ID_ANY, 'Zoom', wx.Bitmap('/usr/share/matplotlib/mpl-data/images/zoom_to_rect.png'))
subtool = toolbar.AddTool(wx.ID_ANY, 'Subplots', wx.Bitmap('/usr/share/matplotlib/mpl-data/images/subplots.png'))
savetool = toolbar.AddTool(wx.ID_ANY, 'Save', wx.Bitmap('/usr/share/matplotlib/mpl-data/images/filesave.png'))
self.Bind(wx.EVT_TOOL, self.home, hometool)
self.Bind(wx.EVT_TOOL, self.back, backtool)
self.Bind(wx.EVT_TOOL, self.fwd, fwdtool)
self.Bind(wx.EVT_TOOL, self.pan, pantool)
self.Bind(wx.EVT_TOOL, self.zoom, zoomtool)
self.Bind(wx.EVT_TOOL, self.sub, subtool)
self.Bind(wx.EVT_TOOL, self.save, savetool)
toolbar.Realize()
sizer = wx.BoxSizer(wx.VERTICAL)
sizer.Add(self.p1,1,wx.EXPAND,10)
self.statusbar=self.CreateStatusBar()
self.SetSizer(sizer)
self.Show()
self.plot()
#Self defined Navigation Toolbar controls used to call hidden matplotlib Toolbar functions
def home(self,event):
self.statusbar.SetStatusText("Home")
self.p1.toolbar.home()
# Also scroll panel to start position
self.p1.Scroll(0,0)
def back(self,event):
self.statusbar.SetStatusText("Back")
self.p1.toolbar.back()
def fwd(self,event):
self.statusbar.SetStatusText("Fwd")
self.p1.toolbar.forward()
def pan(self,event):
self.statusbar.SetStatusText("Pan")
self.p1.toolbar.pan()
def zoom(self,event):
self.statusbar.SetStatusText("Zoom")
self.p1.toolbar.zoom()
def sub(self,event):
self.statusbar.SetStatusText("Subplots")
self.p1.toolbar.configure_subplots(event)
def save(self,event):
self.statusbar.SetStatusText("Save")
self.p1.toolbar.save_figure()
def plot(self):
self.p1.plot()
app = wx.App(redirect=False)
frame = TestFrame(None,"Plot in Scrolled panel with replacement Navigation")
app.MainLoop()
You will notice that I made the replacement toolbar Dockable, so I can move the toolbar anywhere I want on the screen. It is re-attachable.
Because we are defining our own toolbar it can be anywhere we want, just look into the options for wx.Toolbar.
Here, I lost the text and made it vertical.
- Python method chaining in functional programming style
- flask-jwt-extended: Fake Authorization Header during testing (pytest)
- For loop through the list unless empty?
- Polars make all groups the same size
- Is there a way to specify a default base-template for all templates in django?
- How to tackle time limit exceeded error in leetcode
- Is pd.get_dummies() updated in newer versions of Pandas making it default to Booleans (True/False) instead of (0/1)?
- What's the function like sum() but for multiplication? product()?
- How to type hint a dynamically-created dataclass
- Issue with pulling the data with EIA API with Python
- 403 Forbidden Error when scraping a site, user-agents already used and updated. Any ideas?
- Fullstack web-hosting services
- How to handle an AnalysisException on Spark SQL?
- Python requests is slow and takes very long to complete HTTP or HTTPS request
- Is there a way to modify an element in a Numpy array based on the value of other elements?
- Tkinter grid manager height/width nonconsistent
- Sql Alchemy Insert Statement failing to insert, but no error
- How can I create a Polars struct while eval-ing a list?
- Excel using win32com and python
- django: on pypy, psyco, unladen swallow or cpython, which one is the fastest?
- How convert a list into multiple columns and a dataframe?
- Name not defined in type annotation
- Static type checkers and Language Servers not recognizing attributes of objects that are subclasses
- How do I get multiple OID values in PySNMP?
- how to log a file in Django
- Is there a simple and efficient way to evaluate Elementary Symmetric Polynomials in Python?
- Iterating over two lists one after another
- Python -i flag for production
- What is PyCompilerFlags in Python C API?
- How to make Python check whether a variable is a number or letter