Merge branch 'master' of https://github.com/QuantEcon/QuantEcon.py into add_random_state_arma

Author: QBatista

.travis.yml

@@ -25,11 +25,10 @@ before_install:
   #- sudo ln -s /run/shm /dev/shm
 
 install:
-  - conda install --yes python=$TRAVIS_PYTHON_VERSION ipython numpy scipy matplotlib nose pandas pip sympy pytables statsmodels numba
+  - conda install --yes python=$TRAVIS_PYTHON_VERSION ipython numpy scipy nose pandas pip sympy pytables statsmodels numba
     # To Install Full Anaconda Stack (conda install --yes python=$TRAVIS_PYTHON_VERSION anaconda)
   - pip install coveralls coverage
   - python setup.py install
-  - cp quantecon/tests/matplotlibrc .
 
 script:
   - nosetests --with-coverage --cover-package=quantecon --exclude=models 	#quantecon.models excluded from tests to prevent triggering the ImportWarning

pip-requirements.txt

@@ -10,8 +10,6 @@ numpydoc
 
 scipy
 
-matplotlib
-
 pandas
 
 statsmodels

quantecon/arma.py

@@ -9,7 +9,6 @@
 """
 import numpy as np
 from numpy import conj, pi
-import matplotlib.pyplot as plt
 from scipy.signal import dimpulse, freqz, dlsim
 from .util import check_random_state
 
@@ -260,69 +259,3 @@ def simulation(self, ts_length=90, random_state=None):
         vals = dlsim(sys, u)[1]
 
         return vals.flatten()
-
-    def plot_impulse_response(self, ax=None, show=True):
-        if show:
-            fig, ax = plt.subplots()
-        ax.set_title('Impulse response')
-        yi = self.impulse_response()
-        ax.stem(list(range(len(yi))), yi)
-        ax.set_xlim(xmin=(-0.5))
-        ax.set_ylim(min(yi)-0.1, max(yi)+0.1)
-        ax.set_xlabel('time')
-        ax.set_ylabel('response')
-        if show:
-            plt.show()
-
-    def plot_spectral_density(self, ax=None, show=True):
-        if show:
-            fig, ax = plt.subplots()
-        ax.set_title('Spectral density')
-        w, spect = self.spectral_density(two_pi=False)
-        ax.semilogy(w, spect)
-        ax.set_xlim(0, pi)
-        ax.set_ylim(0, np.max(spect))
-        ax.set_xlabel('frequency')
-        ax.set_ylabel('spectrum')
-        if show:
-            plt.show()
-
-    def plot_autocovariance(self, ax=None, show=True):
-        if show:
-            fig, ax = plt.subplots()
-        ax.set_title('Autocovariance')
-        acov = self.autocovariance()
-        ax.stem(list(range(len(acov))), acov)
-        ax.set_xlim(-0.5, len(acov) - 0.5)
-        ax.set_xlabel('time')
-        ax.set_ylabel('autocovariance')
-        if show:
-            plt.show()
-
-    def plot_simulation(self, ax=None, show=True):
-        if show:
-            fig, ax = plt.subplots()
-        ax.set_title('Sample path')
-        x_out = self.simulation()
-        ax.plot(x_out)
-        ax.set_xlabel('time')
-        ax.set_ylabel('state space')
-        if show:
-            plt.show()
-
-    def quad_plot(self):
-        """
-        Plots the impulse response, spectral_density, autocovariance,
-        and one realization of the process.
-
-        """
-        num_rows, num_cols = 2, 2
-        fig, axes = plt.subplots(num_rows, num_cols, figsize=(12, 8))
-        plt.subplots_adjust(hspace=0.4)
-        plot_functions = [self.plot_impulse_response,
-                          self.plot_spectral_density,
-                          self.plot_autocovariance,
-                          self.plot_simulation]
-        for plot_func, ax in zip(plot_functions, axes.flatten()):
-            plot_func(ax, show=False)
-        plt.show()

quantecon/meta.yaml

@@ -32,14 +32,12 @@ requirements:
       #    - numpy
       #    - scipy
       #    - pandas
-      #    - matplotlib
 
   run:
     - python
     - numpy
     - scipy
     - pandas
-    - matplotlib
 
 test:
   # Python imports

quantecon/tests/matplotlibrc

@@ -3,6 +3,8 @@
 Authors: Pablo Winant
 Tests for timing.py
 """
+from numpy.testing import assert_allclose
+
 
 def test_tic_tac_toc():
 
@@ -22,9 +24,9 @@ def test_tic_tac_toc():
     time.sleep(h)
     el3 = toc()
 
-    assert(abs(el1-h)<0.01)
-    assert(abs(el2-h)<0.01)
-    assert(abs(el3-h*3)<0.01)
+    rtol = 0.1
+    for actual, desired in zip([el1, el2, el3], [h, h, h*3]):
+        assert_allclose(actual, desired, rtol=rtol)
 
 
 if __name__ == "__main__":

quantecon/util/tests/test_timing.py

@@ -6,7 +6,6 @@ dependencies:
 - numpy
 - numpydoc
 - scipy
-- matplotlib
 - pandas
 - statsmodels
 - sympy