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import matplotlib
import matplotlib.pyplot as plt

import numpy as np


    

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#these are global, you should probably just add them to
#an rc file, which will make them perminant.
plt.rc('text', usetex=True)
plt.rc('font', **{'family':'serif','serif':['Computer Modern']})


    

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x = np.linspace(0,5)
y = x**2
xdata=np.linspace(0.5,4.5,10)
dy=(2*(np.random.random_sample(size=10)-.5))
ydata = (xdata**2)+dy


    

In [12]:

    

fig, axes = plt.subplots()

axes.plot(x, y, 'r')
axes.set_xlabel('x')
axes.set_ylabel('y')
axes.set_title('title');


    

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fig = plt.figure()

axes = fig.add_axes([0.1, 0.1, 0.8, 0.8]) # left, bottom, width, height (range 0 to 1)

axes.plot(x, y, 'r')

axes.set_xlabel('x')
axes.set_ylabel('y')
axes.set_title('title');


    

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In [9]:

    

axes.errorbar?


    

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#%matplotlib qt #use to find coordinates in plot
%matplotlib inline
fig , axes = plt.subplots()
axes.set_yscale('log')
axes.plot(x, y, color='k', label='fit',linewidth=2)
#By setting the autoscale off, we can add in scatter data
#without pushing the scale off the edge of the plotted line
axes.set_autoscale_on(False)
axes.errorbar(xdata,ydata,dy,color='k',label='data',fmt='.k')
axes.text(0.5, 0.1, r"$y=x^2$", fontsize=12, color="k")

#axes.axis('tight')

axes.set_xlabel('x')
axes.set_ylabel('y')
axes.set_title('title')
axes.legend(loc='best');


    

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# A histogram
n = np.random.randn(100000)
fig, axes = plt.subplots()
#It would be nice to have a hard black outline... but it's probably not worth my time.
axes.hist(n,color='grey',alpha=0.5,histtype='stepfilled');


    

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axes.hist?


    

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