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viz_tests.py
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viz_tests.py
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"""
Visualization test module. Asserts that visualization functions work properly.
"""
import unittest
import pandas as pd
import numpy as np
import pytest
import sys; sys.path.append("../")
import missingno as msno
import matplotlib.pyplot as plt
class TestMatrix(unittest.TestCase):
def setUp(self):
np.random.seed(42)
self.simple_df = pd.DataFrame((np.random.random((20, 10)) > 0.5), columns=range(0, 10)).replace(False, np.nan)
np.random.seed(42)
self.freq_df = (
pd.DataFrame((np.random.random(1000).reshape((50, 20)) > 0.5))
.replace(False, np.nan)
.set_index(pd.period_range('1/1/2011', '2/1/2015', freq='M'))
)
np.random.seed(42)
self.large_df = pd.DataFrame((np.random.random((250, 60)) > 0.5)).replace(False, np.nan)
@pytest.mark.mpl_image_compare
def test_simple_matrix(self):
msno.matrix(self.simple_df)
return plt.gcf()
@pytest.mark.mpl_image_compare
def test_no_sparkline_matrix(self):
msno.matrix(self.simple_df, sparkline=False)
return plt.gcf()
@pytest.mark.mpl_image_compare
def test_width_ratios_matrix(self):
msno.matrix(self.simple_df, width_ratios=(30, 1))
return plt.gcf()
@pytest.mark.mpl_image_compare
def test_color_matrix(self):
msno.matrix(self.simple_df, color=(70 / 255, 130 / 255, 180 / 255))
return plt.gcf()
@pytest.mark.mpl_image_compare
def test_fontsize_matrix(self):
msno.matrix(self.simple_df, fontsize=8)
return plt.gcf()
@pytest.mark.mpl_image_compare
def test_freq_matrix(self):
msno.matrix(self.freq_df, freq='BQ')
return plt.gcf()
@pytest.mark.mpl_image_compare
def test_large_matrix(self):
msno.matrix(self.large_df)
return plt.gcf()
class TestBar(unittest.TestCase):
def setUp(self):
np.random.seed(42)
self.simple_df = pd.DataFrame((np.random.random((20, 10)) > 0.5), columns=range(0, 10)).replace(False, np.nan)
@pytest.mark.mpl_image_compare
def test_simple_bar(self):
msno.bar(self.simple_df)
return plt.gcf()
@pytest.mark.mpl_image_compare
def test_log_bar(self):
msno.bar(self.simple_df, log=True)
return plt.gcf()
class TestHeatmap(unittest.TestCase):
def setUp(self):
np.random.seed(42)
self.simple_df = pd.DataFrame((np.random.random((20, 10)) > 0.5), columns=range(0, 10)).replace(False, np.nan)
self.large_df = pd.DataFrame((np.random.random((250, 60)) > 0.5)).replace(False, np.nan)
@pytest.mark.mpl_image_compare
def test_simple_heatmap(self):
msno.heatmap(self.simple_df)
return plt.gcf()
@pytest.mark.mpl_image_compare
def test_unlabelled_heatmap(self):
msno.heatmap(self.simple_df, labels=False)
return plt.gcf()
@pytest.mark.mpl_image_compare
def test_alternative_colormap_heatmap(self):
msno.heatmap(self.simple_df, cmap='viridis')
return plt.gcf()
class TestDendrogram(unittest.TestCase):
def setUp(self):
np.random.seed(42)
simple_df = pd.DataFrame((np.random.random((20, 10))), columns=range(0, 10))
simple_df.iloc[:, :2] = (simple_df.iloc[:, :2] > 0.2)
simple_df.iloc[:, 2:5] = (simple_df.iloc[:, 2:5] > 0.8)
simple_df.iloc[:, 5:10] = (simple_df.iloc[:, 2:5] > 0.5)
self.simple_df = simple_df.replace(False, np.nan)
@pytest.mark.mpl_image_compare
def test_simple_dendrogram(self):
msno.dendrogram(self.simple_df)
return plt.gcf()
@pytest.mark.mpl_image_compare
def test_orientation_dendrogram(self):
msno.dendrogram(self.simple_df, orientation='right')
return plt.gcf()
@pytest.mark.mpl_image_compare
def test_method_dendrogram(self):
msno.dendrogram(self.simple_df, method='single')
return plt.gcf()
class TestGeoplot(unittest.TestCase):
"""Integration tests only. The main function operations are handled by and tested in the `geoplot` package."""
def setUp(self):
np.random.seed(42)
simple_df = pd.DataFrame((np.random.random((20, 10))), columns=range(0, 10))
simple_df = simple_df.add_prefix("r")
self.x_y_df = simple_df
# @pytest.mark.mpl_image_compare
@pytest.mark.xfail
def test_geoplot_quadtree(self):
msno.geoplot(self.x_y_df, x='r0', y='r1')
return plt.gcf()