I use the functions plot()
and hist()
from pyplot (without any color definition) to generate the following graphic:
There will be even more data sets included. That's why I want to use the same color for fit curve and the related histogram, to keep it somewhat distinguishable.
I couldn't find anything related to it.
I found a solution using
plt.gca().set_color_cycle(None)
Thanks to Reset color cycle in Matplotlib
The following code should work out of the box to complete my question regarding gaussian fit with same color as bars of histogram
import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
import numpy as np
list_of_lists = []
for i in range(2):
list = np.random.normal(0, 1, 100)
list = list.tolist()
list_of_lists.append(list)
plt.figure()
plt.hist(list_of_lists, bins = 10, normed=True)
numb_lists = len(list_of_lists)
plt.gca().set_color_cycle(None)
for i in range(0, numb_lists):
list = list_of_lists[i][:]
mean = np.mean(list)
variance = np.var(list)
sigma = np.sqrt(variance)
x = np.linspace(min(list), max(list), 100)
plt.plot(x, mlab.normpdf(x, mean, sigma))