matplotlib + wxpython不顯示x-ax時間字符串數據

Question

我是matplotlib的新成員，我用它來顯示.csv文件的數據，代碼如下，當我的鼠標運動觸發時，xdata顯示（鏈接代碼func如下：「onMotion」）不是我想要的（從原始.csv文件中顯示正確的時間字符串爲HH：MM：SS），我想這是一個浮點數，但當我轉換到時候，它仍然不是我所期望的。我應該怎樣做才能做對？任何建議都非常感謝。

CSV file data is below: 
Time CPU MEMEMORY FLOW 
21:41:45 7 2.065984885 0 
21:41:49 24 2.143804486 207.1622516 
21:41:53 18 2.099176758 254.0634666 
21:41:57 16 2.148127797 546.959479 
21:42:01 25 2.120096005 837.3973892 
21:42:05 14 2.123164162 865.6367548 
21:42:09 19 2.126511241 894.4122738 
21:42:13 16 2.090111751 924.6048394 
21:42:17 16 2.088717134 953.8266646 
21:42:21 18 2.090948521 985.3669382 

就像你看到的，此文件中的時間格式爲HH：MM：SS，但matplotlib它顯示爲如下圖所示。

import matplotlib.pyplot as plt 
import pandas as pd 
import wx 
class CanvasFrame(wx.Frame): 
    orgData= None 
    def __init__(self): 

     self.pro = None 
     wx.Frame.__init__(self,None,-1, 'App Detection',size=(800,350)) 
     self.orgData =pd.read_csv('data.csv') 
     self.orgData["Time"] = pd.to_datetime(self.orgData["Time"]) 
     self.SetBackgroundColour("WHITE") 

     self.figure = plt.figure() 
     self.axes = self.figure.add_subplot(111) 

     self.CPU, = self.axes.plot(self.orgData["Time"], self.orgData["CPU"]) 
     self.MEMEMORY, = self.axes.plot(self.orgData["Time"], self.orgData["MEMEMORY"], "m") 

     plt.xlabel("Time") 
     plt.ylabel("Usage(%)") 
     plt.title("Usage of App") 

     self.axes2 = self.axes.twinx() 
     self.FLOW, = self.axes2.plot(self.orgData["Time"], self.orgData["FLOW"], "r") 
     self.axes2.set_ylabel("FLOW(kb)") 

     self.ins = (self.CPU,)+(self.MEMEMORY,)+(self.FLOW,) 
     self.labs = [l.get_label() for l in self.ins] 
     self.axes.legend(self.ins, self.labs, loc=2) 

     self.canvas = FigureCanvas(self, -1, self.figure) 

     self.statusbar = self.CreateStatusBar() 
     self.mouseMoveID = self.canvas.mpl_connect('motion_notify_event',self.onMotion) 

     self.sizer = wx.BoxSizer(wx.VERTICAL) 
     self.btnStart = wx.Button(self, -1, "Start") 
     self.Bind(wx.EVT_BUTTON, self.getData, self.btnStart) 

     self.btnGen = wx.Button(self, -1, "Gen Chart") 
     self.Bind(wx.EVT_BUTTON, self.genFigure, self.btnGen) 

     self.btnSave = wx.Button(self, -1, "Save") 
     self.Bind(wx.EVT_BUTTON, self.savePic, self.btnSave) 

     self.tip = wx.StaticText(self, -1, u"Tip: Tip string!") 
     self.tip.SetForegroundColour("red") 
     self.sizerH = wx.GridSizer(1,0) 
     self.sizerH.Add(self.btnStart,10, wx.ALL, 10) 
     self.sizerH.Add(self.btnGen,10, wx.ALL, 10) 
     self.sizerH.Add(self.btnSave,10, wx.ALL, 10) 
     self.sizer.Add(self.sizerH) 
     self.sizer.Add(self.tip) 
     self.sizer.Add(self.canvas, 1, wx.LEFT | wx.TOP | wx.GROW) 
     self.SetSizer(self.sizer) 
     self.Fit() 

    def onMotion(self, evt): 
     x = evt.x 
     y = evt.y 
     inaxes = evt.inaxes 
     xdata = evt.xdata 
     ydata = evt.ydata 
     self.statusbar.SetStatusText("%s, %s, %s, %s, %s" % (
     x, y, inaxes, xdata, ydata)) 

Answer 1

要格式化的日期或時間，可以使用例如示出的matplotlib.dates.DateFormatter作爲在this example。用相應的時間調用這個dateformatter會產生所需的格式化字符串。

dateformatter = mdates.DateFormatter('%H:%M:%S') 
dateformatter(xdata) 

顯示格式化時間的問題實際上是獨立於GUI實現上的。因此，我不提供這一點，只提供一個解決方案，顯示軸內的格式化時間。從這個問題可以清楚地知道如何將格式化的字符串提供給GUI的狀態欄。

u = u"""Time CPU MEMEMORY FLOW 
21:41:45 7 2.065984885 0 
21:41:49 24 2.143804486 207.1622516 
21:41:53 18 2.099176758 254.0634666 
21:41:57 16 2.148127797 546.959479 
21:42:01 25 2.120096005 837.3973892 
21:42:05 14 2.123164162 865.6367548 
21:42:09 19 2.126511241 894.4122738 
21:42:13 16 2.090111751 924.6048394 
21:42:17 16 2.088717134 953.8266646 
21:42:21 18 2.090948521 985.3669382""" 

import pandas as pd 
import matplotlib.pyplot as plt 
import matplotlib.dates as mdates 
import io 

df = pd.read_csv(io.StringIO(u), delim_whitespace=True) 

df["Time"] = pd.to_datetime(df["Time"]) 

fig, ax = plt.subplots() 

ax.plot(df["Time"], df["CPU"]) 
ax.plot(df["Time"], df["MEMEMORY"]) 

text = ax.text(0.02,0.98, "", transform=ax.transAxes, va="top") 
dateformatter = mdates.DateFormatter('%H:%M:%S') 

def onmousemove(evt): 
    if evt.inaxes: 
     xdata = evt.xdata 
     xtime = dateformatter(xdata) 
     string = "%s" % (xtime) 
     text.set_text(string) 
     fig.canvas.draw_idle() 

cid = fig.canvas.mpl_connect("motion_notify_event",onmousemove) 

plt.show()