Unterpläne aus mehreren Textdateien in einer Schleife erstellen

Question

Also habe ich versucht, Textdateien auf mehrere Unterplots zu laden, aber die Plots scheinen immer als eine Textdatei zu kommen. Kann mir jemand in die richtige Richtung zeigen, wie ich das anstellen soll?

import numpy as np 
import matplotlib.pyplot as plt 

RiverData1 = np.loadtxt('Gray1961.txt', skiprows = 2) 

RiverData2 = np.loadtxt('Hack1957.txt', skiprows = 2) 

RiverData3 = np.loadtxt('Rignon1996.txt', skiprows = 2) 

RiverData4 = np.loadtxt('Robert1990.txt', skiprows = 2) 

RiverData5 = np.loadtxt('Langbein1947_p145.txt', skiprows = 2) 

RiverData6 = np.loadtxt('Langbein1947_p146.txt', skiprows = 2) 

RiverData7 = np.loadtxt('Langbein1947_p149.txt', skiprows = 2) 

RiverData8 = np.loadtxt('Langbein1947_p152.txt', skiprows = 2) 

plotnums = 1  

for plotnums in range (1,9): 
    plt.subplot(2,4,plotnums) 
    plt.plot((RiverData1[:,0]), (RiverData1[:,1]),'ko') 
    plt.plot((RiverData2[:,0]), (RiverData2[:,1]),'ko') 
    plt.plot((RiverData3[:,0]), (RiverData3[:,1]),'ko') 
    plt.plot((RiverData4[:,0]), (RiverData4[:,1]),'ko') 
    plt.plot((RiverData5[:,0]), (RiverData5[:,1]),'ko') 
    plt.plot((RiverData6[:,0]), (RiverData6[:,1]),'ko') 
    plt.plot((RiverData7[:,0]), (RiverData7[:,1]),'ko') 
    plt.plot((RiverData8[:,0]), (RiverData8[:,1]),'ko') 
    plt.xlabel('River Length (km)') 
    plt.ylabel('Area (Km$^2$)') 
    plt.xscale('log') 
    plt.yscale('log') 
    plotnums=plotnums+1 

    plt.show() 

Answer 1

Bitte überprüfen Sie die matplotlib Dokumentation auf Nebenhandlungen

http://matplotlib.org/examples/animation/subplots.html

Sie eine Figur erstellen und mehrere Handlungsstränge, um es hinzuzufügen.

fig = plt.figure() 
for plotnums in range(1,9): 
    plot1 = fig.add_subplot(2,4,plotnums) # update the numbers as required 
    ... 

Answer 2

Ich empfehle, die Daten auch innerhalb der Schleife zu laden. Darüber hinaus sollten Sie das Achsenhandle in einer Variablen erfassen, um zu steuern, welche Achse zum Zeichnen der Daten verwendet wird. Um jegliche Datenartefakte zu vermeiden, empfehle ich, die Variablen am Ende jeder Iteration auf None zu setzen.

import numpy as np 
import matplotlib.pyplot as plt 

# store your file names in a list to be able to iterate over them: 

FILES = ['Gray1961.txt','Hack1957.txt','Rignon1996.txt',\ 
     'Robert1990.txt','Langbein1947_p145.txt','Langbein1947_p146.txt',\ 
     'Langbein1947_p149.txt','Langbein1947_p152.txt'] 

# specify desired conversion factors for each file, separated by x and y 

xFactor =[1.00, 1.00, 1.00, 1.00\ 
      2.59, 2.59, 2.59, 2.59] 

yFactor = [1.000, 1.000, 1.000, 1.000\ 
      1.609, 1.609, 1.609, 1.609] 

# loop through all files; 
# range(len(FILES)) returns a list of integers from 0 to 7 in this example 

for n in range(len(FILES)): 

    # load the data from each file: 

    RiverData = np.loadtext(FILES[n], skiprows = 2) 

    # convert the data per the specified factors: 

    X = [xi * xFactor[n] for xi in RiverData[:,0]] 
    Y = [yi * yFactor[n] for yi in RiverData[:,1]] 

    # create sub-plot, here, you need to use n+1, 
    # because your loop iterable counts from 0, 
    # but your sub-plots count from 1 

    ax = plt.subplot(2,4,n+1) 

    # use the created axis object to plot your data; 
    # use ax.plot instead of plt.plot 

    ax.plot(X, Y,'ko') 

    # specify your axis details, again use ax.plot instead of plt.plot 

    ax.set_xlabel('River Length (km)') 
    ax.set_ylabel('Area (Km$^2$)') 

    # the file name can be used as plot title 
    # (if you want to omit the .txt ending, use [:-4] 
    # to omit the last for characters in the title string) 

    ax.set_title(FILES[n][:-4]) 
    ax.set_xscale('log') 
    ax.set_yscale('log') 

    # to avoid surprises going from one loop to the next, 
    # clear the data from the variables 

    RiverData = None 
    ax = None 

plt.show() 

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Wie Thiru pointed out Sie brauchen nicht zu erhöhen Ihre iterable in einem for -loop.