【发布时间】：2016-08-22 08:44:31
【问题描述】：
非常感谢您的帮助。我有 3 个 .csv 文件，其中包含一些数据。每个 .csv 文件创建 4 个直方图。我为每个直方图创建了 4 个子图。
我还创建了一个单选按钮，其中 3 个数据集作为变量。我希望使用我在单选按钮选项卡中单击的数据集来更新子图。但是，我无法做到这一点。
随着我的进步，我对编程和学习不熟悉。这是我创建的代码
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 = ax1.hist(dataset1['a'], bins=50, color = 'red',alpha = 0.5, normed = True)
ax2 = ax2.hist(dataset1['b'], bins=50, color = 'red',alpha = 0.5, normed = True)
ax3 = ax3.hist(dataset1['c'], bins=50, color = 'red',alpha = 0.5, normed = True)
ax4 = 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
if label == 'Data Set2':
plt.hist(func[radio_label]['a'], bins=50, color = 'red',alpha = 0.5)
plt.hist(func[radio_label]['b'], bins=50, color = 'red',alpha = 0.5)
plt.hist(func[radio_label]['c'], bins=50, color = 'red',alpha = 0.5)
plt.hist(func[radio_label]['x0'], bins=50, color = 'red',alpha = 0.5)
elif label == 'Data Set3':
plt.hist(func[radio_label]['a'], bins=50, color = 'red',alpha = 0.5)
plt.hist(func[radio_label]['b'], bins=50, color = 'red',alpha = 0.5)
plt.hist(func[radio_label]['c'], bins=50, color = 'red',alpha = 0.5)
plt.hist(func[radio_label]['x0'], bins=50, color = 'red',alpha = 0.5)
plt.draw()
radio.on_clicked(update_radio)
#####_____#####
plt.show()
.csv 文件中的数据如下所示：
[(1.0876, 10.44, -14.036, -10.795) (0.89453, 8.0052, -13.198, -10.372) (0.8199, 8.0609, -11.475, -11.093) ..., (1.2176, 10.45, -13.828, -9.7473) (0.94211, 11.82, -7.7689, -13.173) (0.83588, 11.882, -13.807, -15.295)]
【问题讨论】：
标签： python python-2.7 python-3.x csv matplotlib