Article Outline
Python matplotlib example 'pandas mpl wx'
Modules used in program:
import pandas as pd
import wx
import matplotlib.pyplot as plt
import matplotlib
import re
import argparse
import math
python pandas mpl wx
Python matplotlib example: pandas mpl wx
import math
import argparse
import re
from numpy import arange, sin, pi
import matplotlib
import matplotlib.pyplot as plt
matplotlib.use('WXAgg')
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
from matplotlib.backends.backend_wx import NavigationToolbar2Wx
from matplotlib.figure import Figure
import wx
import pandas as pd
from pandas import Series, DataFrame
class CanvasPanel(wx.Panel):
def __init__(self, parent):
wx.Panel.__init__(self, parent)
self.slider = wx.Slider(self, -1, value=1, minValue=0, maxValue=11)
self.slider.Bind(wx.EVT_SLIDER, self.OnSlider)
self.figure = Figure()
self.axes = self.figure.add_subplot(111)
self.canvas = FigureCanvas(self, -1, self.figure)
self.toolbar = NavigationToolbar2Wx(self.canvas)
self.toolbar.AddLabelTool(5,'',wx.ArtProvider.GetBitmap(wx.ART_FILE_OPEN, wx.ART_TOOLBAR, (32,32)))
self.toolbar.Realize()
self.sizer = wx.BoxSizer(wx.VERTICAL)
self.sizer.Add(self.toolbar, 0, wx.LEFT | wx.TOP | wx.GROW)
self.sizer.Add(self.canvas, proportion=1,
flag=wx.LEFT | wx.TOP | wx.GROW)
self.sizer.Add(self.slider, proportion=0,
flag=wx.LEFT | wx.TOP | wx.GROW)
self.SetSizer(self.sizer)
self.Fit()
self.get_data()
box = self.axes.get_position()
self.axes.set_position([box.x0, box.y0+box.height*0.25, box.width, box.height*0.75])
def resample(self, df):
# How do I do this smartly
dfg = df.reset_index().set_index('time_stamp').groupby('pnode')
pnodes = {}
for pnode in dfg.groups.keys():
#print("Resampling: %s" % (pnode))
pnodes[pnode] = df.ix[pnode].resample('M', how='mean')
df2 = pd.concat(pnodes, names=['pnode'])
return df2
def get_units(self, store):
if '/df' in store.keys():
print("df key already exists")
df = store['df']
return df
lip = store.select('lip')
pnodes = lip.groupby(level=0).first()
nodes = []
pattern = r'CSWS\w+UN\d+'
# there are about 50 units
for node in pnodes.index:
if re.match(pattern, node):
nodes.append(node)
# Retrieval is slow. We are fighting 32bit limits so we can't bring
# everything into memory. About 6 seconds per node.
# Term() conditions can only be ANDed together.
df = store.select('lip', pd.Term("pnode==CSWS_LA"))
for node in nodes:
print("Getting node: %s" % node)
df = df.append(store.select('lip', pd.Term("pnode", "=", node)))
# Save it here for later
df = df.append(store.select('lip', pd.Term("pnode", "=", "CSWS_LA")))
store['df'] = df
return df
def get_data(self):
store = pd.HDFStore('spp.h5')
df = self.get_units(store)
store.close()
self.dfs = self.resample(df)
self.nodes = self.dfs.index.get_level_values('pnode').unique()
def plot_month(self):
ax = self.axes
ax.clear()
nodes = self.nodes
dfs = self.dfs
month_num = self.slider.GetValue()
times = dfs.index.get_level_values('time_stamp')
mon = dfs.xs(times[month_num], level='time_stamp')
mon.plot(ax=self.axes, style='o')
ax.set_title('Month Num: %s' % month_num)
ax.axhline(mon.ix["CSWS_LA"], color='k', linewidth=2)
x = range(len(nodes))
ax.set_xticks(x)
ax.set_xticklabels(nodes)
ys = ax.get_yticks()
ys = [math.floor(y) for y in ys]
ys.append(ys[-1] + 1)
ax.set_yticks(ys)
for tick in ax.xaxis.get_major_ticks():
tick.label.set_fontsize('small')
tick.label.set_rotation('vertical')
ax.grid()
self.canvas.draw()
def OnSlider(self, event):
self.plot_month()
def draw(self):
t = arange(0.0, 3.0, 0.01)
h = self.slider.GetValue()
s = h * sin(2*pi*t)
self.axes.clear()
self.axes.plot(t, s)
self.canvas.draw()
if __name__ == "__main__":
app = wx.PySimpleApp()
frame = wx.Frame(None, title='test')
panel = CanvasPanel(frame)
panel.plot_month()
frame.Show()
app.MainLoop()
Python links
- Learn Python: https://pythonbasics.org/
- Python Tutorial: https://pythonprogramminglanguage.com