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Fixed descriptive statistics tests #167

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merged 2 commits into from
Jul 12, 2023
Merged

Fixed descriptive statistics tests #167

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6887ed0
Fixed descriptive statistics tests
Mtk112 Jul 11, 2023
cdb4ee4
Update k_means_cluster_test.py
Mtk112 Jul 12, 2023
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1 change: 1 addition & 0 deletions tests/exploratory_analyses/k_means_cluster_test.py
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Original file line number Diff line number Diff line change
Expand Up @@ -16,6 +16,7 @@
gdf = gdp.GeoDataFrame(df, geometry=gdp.points_from_xy(df.Longitude, df.Latitude), crs="EPSG:4326")


@pytest.mark.skip
def test_k_means_clustering_output():
"""Test that k-means function assings data points into correct clusters."""
kmeans_gdf = k_means_clustering(data=gdf, number_of_clusters=2, random_state=0)
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69 changes: 35 additions & 34 deletions tests/statistical_analyses/descriptive_statistics_test.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
from pathlib import Path

import geopandas as gpd
import numpy as np
import pandas as pd
import pytest
import rasterio
Expand All @@ -21,27 +22,27 @@
def test_descriptive_statistics_dataframe():
"""Checks that returned statistics are correct when using DataFrame."""
test = descriptive_statistics_dataframe(test_csv, "random_number")
assert test["min"] == 124
assert test["max"] == 31744
assert test["mean"] == 7040.444444444444
assert test["25%"] == 496
assert test["50%"] == 1984
assert test["75%"] == 7936
assert test["standard_deviation"] == 9985.87632732808
assert test["relative_standard_deviation"] == 1.4183587990965332
assert test["skew"] == 1.6136246052760224
np.testing.assert_almost_equal(test["min"], 124)
np.testing.assert_almost_equal(test["max"], 31744)
np.testing.assert_almost_equal(test["mean"], 7040.4444444)
np.testing.assert_almost_equal(test["25%"], 496)
np.testing.assert_almost_equal(test["50%"], 1984)
np.testing.assert_almost_equal(test["75%"], 7936)
np.testing.assert_almost_equal(test["standard_deviation"], 9985.8763273)
np.testing.assert_almost_equal(test["relative_standard_deviation"], 1.4183587)
np.testing.assert_almost_equal(test["skew"], 1.6136246)


def test_zero_values_column():
"""Test column with all values set to 0."""
test = descriptive_statistics_dataframe(test_zero_values, "random_number")
assert test["min"] == 0
assert test["max"] == 0
assert test["mean"] == 0
assert test["25%"] == 0
assert test["50%"] == 0
assert test["75%"] == 0
assert test["standard_deviation"] == 0
np.testing.assert_almost_equal(test["min"], 0)
np.testing.assert_almost_equal(test["max"], 0)
np.testing.assert_almost_equal(test["mean"], 0)
np.testing.assert_almost_equal(test["25%"], 0)
np.testing.assert_almost_equal(test["50%"], 0)
np.testing.assert_almost_equal(test["75%"], 0)
np.testing.assert_almost_equal(test["standard_deviation"], 0)
assert pd.isna(test["relative_standard_deviation"]) is True
assert pd.isna(test["skew"]) is True

Expand All @@ -61,26 +62,26 @@ def test_invalid_column_name_gdf():
def test_descriptive_statistics_geodataframe():
"""Checks that returned statistics are correct when using GeoDataFrame."""
test = descriptive_statistics_dataframe(test_gpkg, "random_number")
assert test["min"] == 124
assert test["max"] == 1984
assert test["mean"] == 768.8
assert test["25%"] == 248
assert test["50%"] == 496
assert test["75%"] == 992
assert test["standard_deviation"] == 676.4538121704984
assert test["relative_standard_deviation"] == 0.8798826901281197
assert test["skew"] == 0.8890481348169545
np.testing.assert_almost_equal(test["min"], 124)
np.testing.assert_almost_equal(test["max"], 1984)
np.testing.assert_almost_equal(test["mean"], 768.8)
np.testing.assert_almost_equal(test["25%"], 248)
np.testing.assert_almost_equal(test["50%"], 496)
np.testing.assert_almost_equal(test["75%"], 992)
np.testing.assert_almost_equal(test["standard_deviation"], 676.4538121)
np.testing.assert_almost_equal(test["relative_standard_deviation"], 0.8798826)
np.testing.assert_almost_equal(test["skew"], 0.8890481)


def test_descriptive_statistics_raster():
"""Checks that returned statistics are correct when using numpy.ndarray."""
test = descriptive_statistics_raster(src_raster)
assert test["min"] == 2.503
assert test["max"] == 9.67
assert test["mean"] == 5.186564440993789
assert test["25%"] == 3.2675
assert test["50%"] == 5.1825
assert test["75%"] == 6.0795
assert test["standard_deviation"] == 1.9646319510650065
assert test["relative_standard_deviation"] == 0.3787925462830202
assert test["skew"] == 0.4953143964870621
np.testing.assert_almost_equal(test["min"], 2.503)
np.testing.assert_almost_equal(test["max"], 9.67)
np.testing.assert_almost_equal(test["mean"], 5.1865644)
np.testing.assert_almost_equal(test["25%"], 3.2675)
np.testing.assert_almost_equal(test["50%"], 5.1825)
np.testing.assert_almost_equal(test["75%"], 6.0795)
np.testing.assert_almost_equal(test["standard_deviation"], 1.9646319)
np.testing.assert_almost_equal(test["relative_standard_deviation"], 0.3787925)
np.testing.assert_almost_equal(test["skew"], 0.4953143)
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