TextView Scrollable(TextView Scrollable)
我将TextView设置为可滚动：
textView.setMovementMethod(new ScrollingMovementMethod());但是，当我更新我的TextView的文本时，滚动位置保持在最后的文本位置，导致有时文本变得不可见，然后，我需要移动滚动以查看新文本（我更新：textView.setText （newText））。
我尝试了这些代码，但没有发现任何变化：
textView.invalidate(); textView.requestLayout(); textView.scrollBy(0, 0) textView.scrollTo(0, 0);PS：textView是RelativeLayout的子节点。
I set my TextView to be scrollable:
textView.setMovementMethod(new ScrollingMovementMethod());But, when I update my TextView's texts, the scrolling position keeps at the last text position, resulting in, sometimes, the text getting invisible and then, I need to move the scroll to see the new text (I update with: textView.setText(newText)).
I tried those codes, but no changes were noted:
textView.invalidate(); textView.requestLayout(); textView.scrollBy(0, 0) textView.scrollTo(0, 0);P.S.: the textView is a child of a RelativeLayout.
原文：https://stackoverflow.com/questions/21028222
更新时间：2023-12-03 17:12
最满意答案
import csv import numpy as np from scipy.stats import norm, lognorm import matplotlib.pyplot as plt import matplotlib.mlab as mlab from matplotlib.widgets import Slider, Button, RadioButtons #####Importing Data from csv file##### dataset1 = np.genfromtxt('dataSet1.csv', dtype = float, delimiter = ',', skip_header = 1, names = ['a', 'b', 'c', 'x0']) dataset2 = np.genfromtxt('dataSet2.csv', dtype = float, delimiter = ',', skip_header = 1, names = ['a', 'b', 'c', 'x0']) dataset3 = np.genfromtxt('dataSet3.csv', dtype = float, delimiter = ',', skip_header = 1, names = ['a', 'b', 'c', 'x0']) #####_____##### #####Creating Subplots##### fig = plt.figure() plt.subplots_adjust(left=0.15, bottom=0.1) ax1 = fig.add_subplot(321) #Subplot 1 ax1.set_xlabel('a', fontsize = 14) #ax1.set_ylabel('PDF', fontsize = 14) ##ax1.set_title('Probability Density Function', fontsize = 10) ##ax1.text(-2, 0.4, r'$\mu=0,\ \sigma^2=1$') ax1.grid(True) ax2 = fig.add_subplot(323) #Subplot 2 ax2.set_xlabel('b', fontsize = 14) #ax2.set_ylabel('PDF', fontsize = 14) ##ax2.set_title('Probability Density Function', fontsize = 10) ##ax2.text(-2, 0.4, r'$\mu=0,\ \sigma^2=1$') ax2.grid(True) ax3 = fig.add_subplot(325) #Subplot 3 ax3.set_xlabel('c', fontsize = 14) #ax3.set_ylabel('PDF', fontsize = 14) ##ax3.set_title('Probability Density Function', fontsize = 10) ##ax3.text(-2, 0.4, r'$\mu=0,\ \sigma^2=1$') ax3.grid(True) ax4 = fig.add_subplot(122) #Subplot 4 ax4.set_xlabel('x0', fontsize = 14) ax4.set_ylabel('PDF', fontsize = 14) ##ax4.set_title('Probability Density Function', fontsize = 10) ##ax4.text(-2, 0.4, r'$\mu=0,\ \sigma^2=1$') ax4.grid(True) #####_____##### #####Plotting Distributions##### ax1.hist(dataset1['a'], bins=50, color = 'red',alpha = 0.5, normed = True) ax2.hist(dataset1['b'], bins=50, color = 'red',alpha = 0.5, normed = True) ax3.hist(dataset1['c'], bins=50, color = 'red',alpha = 0.5, normed = True) ax4.hist(dataset1['x0'], bins=50, color = 'red',alpha = 0.5, normed = True) #####_____##### #######Creating Radio Button##### axcolor = 'lightgoldenrodyellow' rax = plt.axes([0.03, 0.48, 0.06, 0.09], axisbg=axcolor) radio = RadioButtons(rax, ('Data Set1', 'Data Set2', 'Data Set3')) #####_____##### #####Updating Radio Button##### radio_label = 'Data Set1' func = {'Data Set1': dataset1, 'Data Set2': dataset2, 'Data Set3': dataset3} axcl = {'Data Set1': 'red', 'Data Set2': 'blue', 'Data Set3': 'green'} def update_radio(label): global radio_label #so we can overwrite the variable defined above and not create a local one radio_label = label print(radio_label) ax1.clear() ax2.clear() ax3.clear() ax4.clear() ax1.hist(func[radio_label]['a'], bins=50, color = 'red',alpha = 0.5) ax2.hist(func[radio_label]['b'], bins=50, color = 'red',alpha = 0.5) ax3.hist(func[radio_label]['c'], bins=50, color = 'red',alpha = 0.5) ax4.hist(func[radio_label]['x0'], bins=50, color = 'red',alpha = 0.5) ax1.grid(True) ax2.grid(True) ax3.grid(True) ax4.grid(True) plt.draw() radio.on_clicked(update_radio) #####_____##### plt.show()import csv import numpy as np from scipy.stats import norm, lognorm import matplotlib.pyplot as plt import matplotlib.mlab as mlab from matplotlib.widgets import Slider, Button, RadioButtons #####Importing Data from csv file##### dataset1 = np.genfromtxt('dataSet1.csv', dtype = float, delimiter = ',', skip_header = 1, names = ['a', 'b', 'c', 'x0']) dataset2 = np.genfromtxt('dataSet2.csv', dtype = float, delimiter = ',', skip_header = 1, names = ['a', 'b', 'c', 'x0']) dataset3 = np.genfromtxt('dataSet3.csv', dtype = float, delimiter = ',', skip_header = 1, names = ['a', 'b', 'c', 'x0']) #####_____##### #####Creating Subplots##### fig = plt.figure() plt.subplots_adjust(left=0.15, bottom=0.1) ax1 = fig.add_subplot(321) #Subplot 1 ax1.set_xlabel('a', fontsize = 14) #ax1.set_ylabel('PDF', fontsize = 14) ##ax1.set_title('Probability Density Function', fontsize = 10) ##ax1.text(-2, 0.4, r'$\mu=0,\ \sigma^2=1$') ax1.grid(True) ax2 = fig.add_subplot(323) #Subplot 2 ax2.set_xlabel('b', fontsize = 14) #ax2.set_ylabel('PDF', fontsize = 14) ##ax2.set_title('Probability Density Function', fontsize = 10) ##ax2.text(-2, 0.4, r'$\mu=0,\ \sigma^2=1$') ax2.grid(True) ax3 = fig.add_subplot(325) #Subplot 3 ax3.set_xlabel('c', fontsize = 14) #ax3.set_ylabel('PDF', fontsize = 14) ##ax3.set_title('Probability Density Function', fontsize = 10) ##ax3.text(-2, 0.4, r'$\mu=0,\ \sigma^2=1$') ax3.grid(True) ax4 = fig.add_subplot(122) #Subplot 4 ax4.set_xlabel('x0', fontsize = 14) ax4.set_ylabel('PDF', fontsize = 14) ##ax4.set_title('Probability Density Function', fontsize = 10) ##ax4.text(-2, 0.4, r'$\mu=0,\ \sigma^2=1$') ax4.grid(True) #####_____##### #####Plotting Distributions##### ax1.hist(dataset1['a'], bins=50, color = 'red',alpha = 0.5, normed = True) ax2.hist(dataset1['b'], bins=50, color = 'red',alpha = 0.5, normed = True) ax3.hist(dataset1['c'], bins=50, color = 'red',alpha = 0.5, normed = True) ax4.hist(dataset1['x0'], bins=50, color = 'red',alpha = 0.5, normed = True) #####_____##### #######Creating Radio Button##### axcolor = 'lightgoldenrodyellow' rax = plt.axes([0.03, 0.48, 0.06, 0.09], axisbg=axcolor) radio = RadioButtons(rax, ('Data Set1', 'Data Set2', 'Data Set3')) #####_____##### #####Updating Radio Button##### radio_label = 'Data Set1' func = {'Data Set1': dataset1, 'Data Set2': dataset2, 'Data Set3': dataset3} axcl = {'Data Set1': 'red', 'Data Set2': 'blue', 'Data Set3': 'green'} def update_radio(label): global radio_label #so we can overwrite the variable defined above and not create a local one radio_label = label print(radio_label) ax1.clear() ax2.clear() ax3.clear() ax4.clear() ax1.hist(func[radio_label]['a'], bins=50, color = 'red',alpha = 0.5) ax2.hist(func[radio_label]['b'], bins=50, color = 'red',alpha = 0.5) ax3.hist(func[radio_label]['c'], bins=50, color = 'red',alpha = 0.5) ax4.hist(func[radio_label]['x0'], bins=50, color = 'red',alpha = 0.5) ax1.grid(True) ax2.grid(True) ax3.grid(True) ax4.grid(True) plt.draw() radio.on_clicked(update_radio) #####_____##### plt.show()
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