On 27/07/2015 19:47, Colin Ross wrote:
*Goal:* Shade between I_2 (curve 1) and I_3 (curve 2) with following
conditions:
- Green for 0 < x < 4
- Red for 4 < x < 12
*Code: *
*Note: Code currently only attempting to shade green for 0 < x < 4 *
import numpy as np
import pylab
from pylab import *
import matplotlib.pyplot as plt
import csv
# Load data from .txt file
with open('current_mirror_output_swing.csv', 'rb') as f:
reader = csv.reader(f)
your_list = list(reader)
data = np.asarray(your_list)
I_ref = np.asarray(data[1:,0])
I_1 = data[1:,1]
I_2 = data[1:,2]
I_3 = data[1:,3]
# Create an array of x values to fill b/w curves with a certain color.
X1 = np.linspace(0.,4.,len(I_3))
I_ref = I_ref.astype(float)*1000.
I_1 = I_1.astype(float)*1000.
I_2 = I_2.astype(float)*1000.
I_3 = I_3.astype(float)*1000.
# Plotting commands.
plot(I_ref, I_2, 'r-')
plot(I_ref, I_3, 'b-')
title('Current Mirror Output Swing')
xlabel('$I_{ref}$ (mA)')
ylabel('I (mA)')
plt.fill_between(X1, I_2, I_3, color = 'g', alpha = '0.5')
plt.legend(['$I_{ref}$', '$I_{out}$'], loc='upper left')
plt.grid()
show()
*Issue: *
See attached figure.
Thank you.
There is no attachment to see, sorry :(
One thing to note about the following lines.
from pylab import *
import matplotlib.pyplot as plt
The first was designed to make matplotlib easy to use interactively,
especially in iPython, the second in a script. IIRC the former is
deprecated so I suggest you stick with the latter.
--
My fellow Pythonistas, ask not what our language can do for you, ask
what you can do for our language.
Mark Lawrence
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