[英]How can I access the data after zooming in a plot using wxmplot interactive module?
I am creating a script to interactively explore data visualizations using wxPython and wxmPlot.interactive module .我正在创建一个脚本来使用 wxPython 和wxmPlot.interactive 模块交互式地探索数据可视化。
When a file is opened after the Open Button is pressed using a wxPython FileDialog, it is read into a pandas DataFrame.当使用 wxPython FileDialog 按下打开按钮后打开文件时,它会被读入 pandas DataFrame。 Pressing the Plot Button results in the data being plotted on an interactive plot.
按下 Plot 按钮会导致数据绘制在交互式 plot 上。 If I can access the x values for the new plot when clicking on the plot and dragging to select an area of interest, I will be able to find the matching y coordinates in the pandas DataFrame.
If I can access the x values for the new plot when clicking on the plot and dragging to select an area of interest, I will be able to find the matching y coordinates in the pandas DataFrame. Or is there a direct way to access x and y limits on the zoomed plot using the returned PlotFrame object from the plot() method?
或者是否有直接的方法可以使用 plot() 方法返回的 PlotFrame object 访问缩放后的 plot 的 x 和 y 限制? So far I can open a csv file, plot it and zoom in a region of interest.
到目前为止,我可以打开一个 csv 文件 plot 并放大感兴趣的区域。 What I need is to understand how to get the coordinates of the new zoomed in plot in order to save the corresponding data to a file with just that data in the zoomed region.
我需要了解如何在 plot 中获取新的缩放坐标,以便将相应的数据保存到仅在缩放区域中包含该数据的文件中。 Any help with this would be greatly appreciated.
对此的任何帮助将不胜感激。
My code is as follows:我的代码如下:
import wx
import pandas as pd
import wxmplot.interactive as wi
import os
class MyFrame(wx.Frame):
def __init__(self):
super().__init__(parent=None, title="Data Exploration Tool ")
panel = wx.Panel(self)
self.df = None
self.title = ''
my_sizer = wx.BoxSizer(wx.HORIZONTAL)
open_btn = wx.Button(panel, label='Open')
open_btn.Bind(wx.EVT_BUTTON, self.OnOpen)
my_sizer.Add(open_btn, 0, wx.ALL | wx.CENTER, 5)
plot_btn = wx.Button(panel, label='Plot')
plot_btn.Bind(wx.EVT_BUTTON, self.OnPlot)
my_sizer.Add(plot_btn, 0, wx.ALL | wx.CENTER, 5)
panel.SetSizer(my_sizer)
self.Show()
def OnPlot(self, event):
x = pd.to_datetime(self.df.iloc[:, 0], format='%m/%d/%y %H:%M %p' )
for i in range(1, len(self.df.columns)):
wi.plot(x, self.df.iloc[:, i], show_legend=True,
title=self.title, wintitle=self.title)
def OnOpen(self, event):
# ask the user what new file to open
defDir=''
defFile=''
fileDialog = wx.FileDialog(self, "Open CSV file",
defDir, defFile,
wildcard="(*.csv;*.xlsx)|*.csv;*.xlsx",
style=wx.FD_OPEN | wx.FD_FILE_MUST_EXIST)
if fileDialog.ShowModal() == wx.ID_CANCEL:
return # the user changed their mind
# Proceed loading the file chosen by the user
pathname = fileDialog.GetPath()
print(pathname)
self.df = pd.read_csv(pathname, skiprows=12, parse_dates=True)
self.title = os.path.basename(pathname)
if __name__ == '__main__':
app = wx.App()
frame = MyFrame()
app.MainLoop()
You can get the limits for the "current view" with something like this:您可以通过以下方式获得“当前视图”的限制:
import numpy as np
import wxmplot.interactive as wi
x = np.linspace(-20, 20, 601)
y = np.sin(x/4.5) + x/50
display = wi.plot(x, y, label='test')
# now do some zooming, panning, etc
print(display.panel.get_viewlimits())
which might print something like:这可能会打印出类似的内容:
(-21.0, 21.0, -1.2026941911431666, 1.2026941911431666) (-21.0、21.0、-1.2026941911431666、1.2026941911431666)
I think that is what you are looking for.我认为这就是你要找的。
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