From 013b25427f91a68a99f2d0b1cdc871590dcf21fd Mon Sep 17 00:00:00 2001
From: Harsh Kumar <61012869+cyrixninja@users.noreply.github.com>
Date: Tue, 14 Nov 2023 22:28:26 +0530
Subject: [PATCH 01/17] Create spearman_rank_correlation_coefficient.py
---
.../spearman_rank_correlation_coefficient.py | 70 +++++++++++++++++++
1 file changed, 70 insertions(+)
create mode 100644 maths/spearman_rank_correlation_coefficient.py
diff --git a/maths/spearman_rank_correlation_coefficient.py b/maths/spearman_rank_correlation_coefficient.py
new file mode 100644
index 000000000000..de04ff292b0a
--- /dev/null
+++ b/maths/spearman_rank_correlation_coefficient.py
@@ -0,0 +1,70 @@
+def rankdata(arr):
+ """
+ Assigns ranks to elements in the array.
+ """
+ ranked = sorted((value, index) for index, value in enumerate(arr))
+ ranks = [0] * len(arr)
+
+ for pos, (value, index) in enumerate(ranked):
+ ranks[index] = pos + 1
+
+ return ranks
+
+def spearman_rank_correlation(x, y):
+ """
+ Calculates Spearman's rank correlation coefficient.
+
+ Example Usage :
+
+ >>> x = [1, 2, 3, 4, 5]
+ >>> y = [5, 4, 3, 2, 1]
+ >>> spearman_rank_correlation(x, y)
+ -1.0
+
+ >>> x = [1, 2, 3, 4, 5]
+ >>> y = [2, 4, 6, 8, 10]
+ >>> spearman_rank_correlation(x, y)
+ 1.0
+
+ >>> x = [1, 2, 3, 4, 5]
+ >>> y = [5, 1, 2, 9, 5]
+ >>> spearman_rank_correlation(x, y)
+ 0.6
+
+ """
+ n = len(x)
+ rank_x = rankdata(x)
+ rank_y = rankdata(y)
+
+ # Calculate differences of ranks
+ d = [rx - ry for rx, ry in zip(rank_x, rank_y)]
+
+ # Calculate the sum of squared differences
+ d_squared = sum(di ** 2 for di in d)
+
+ # Calculate the Spearman's rank correlation coefficient
+ rho = 1 - (6 * d_squared) / (n * (n**2 - 1))
+
+ return rho
+
+
+if __name__ == "__main__":
+ import doctest
+
+ doctest.testmod()
+
+ # Example usage:
+ x1 = [1, 2, 3, 4, 5]
+ y1 = [2, 4, 6, 8, 10]
+ rho1 = spearman_rank_correlation(x1, y1)
+ print(f"Spearman's rank correlation coefficient (Example 1): {rho1}")
+
+ x2 = [1, 2, 3, 4, 5]
+ y2 = [5, 4, 3, 2, 1]
+ rho2 = spearman_rank_correlation(x2, y2)
+ print(f"Spearman's rank correlation coefficient (Example 2): {rho2}")
+
+ x3 = [1, 2, 3, 4, 5]
+ y3 = [5, 1, 2, 9, 5]
+ rho3 = spearman_rank_correlation(x3, y3)
+ print(f"Spearman's rank correlation coefficient (Example 3): {rho3}")
From b7eff0a1c2c40258ffa02b9ead2049a58e20e92b Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
<66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Tue, 14 Nov 2023 17:03:55 +0000
Subject: [PATCH 02/17] [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
---
maths/spearman_rank_correlation_coefficient.py | 3 ++-
1 file changed, 2 insertions(+), 1 deletion(-)
diff --git a/maths/spearman_rank_correlation_coefficient.py b/maths/spearman_rank_correlation_coefficient.py
index de04ff292b0a..b51bcdb246c1 100644
--- a/maths/spearman_rank_correlation_coefficient.py
+++ b/maths/spearman_rank_correlation_coefficient.py
@@ -10,6 +10,7 @@ def rankdata(arr):
return ranks
+
def spearman_rank_correlation(x, y):
"""
Calculates Spearman's rank correlation coefficient.
@@ -40,7 +41,7 @@ def spearman_rank_correlation(x, y):
d = [rx - ry for rx, ry in zip(rank_x, rank_y)]
# Calculate the sum of squared differences
- d_squared = sum(di ** 2 for di in d)
+ d_squared = sum(di**2 for di in d)
# Calculate the Spearman's rank correlation coefficient
rho = 1 - (6 * d_squared) / (n * (n**2 - 1))
From f73bfd6cd8d613fc9de7f95b3c762abdd9f1c5fc Mon Sep 17 00:00:00 2001
From: Harsh Kumar <61012869+cyrixninja@users.noreply.github.com>
Date: Tue, 14 Nov 2023 22:39:43 +0530
Subject: [PATCH 03/17] Fixed Issues
---
maths/spearman_rank_correlation_coefficient.py | 3 ++-
1 file changed, 2 insertions(+), 1 deletion(-)
diff --git a/maths/spearman_rank_correlation_coefficient.py b/maths/spearman_rank_correlation_coefficient.py
index de04ff292b0a..33cbc509ec92 100644
--- a/maths/spearman_rank_correlation_coefficient.py
+++ b/maths/spearman_rank_correlation_coefficient.py
@@ -5,11 +5,12 @@ def rankdata(arr):
ranked = sorted((value, index) for index, value in enumerate(arr))
ranks = [0] * len(arr)
- for pos, (value, index) in enumerate(ranked):
+ for pos, (_, index) in enumerate(ranked):
ranks[index] = pos + 1
return ranks
+
def spearman_rank_correlation(x, y):
"""
Calculates Spearman's rank correlation coefficient.
From f86d9b0a0d3a4f53dcb9a5a1bc1b016620f25039 Mon Sep 17 00:00:00 2001
From: Harsh Kumar <61012869+cyrixninja@users.noreply.github.com>
Date: Tue, 14 Nov 2023 22:46:17 +0530
Subject: [PATCH 04/17] Added More Description
---
maths/spearman_rank_correlation_coefficient.py | 17 ++++++++++++++++-
1 file changed, 16 insertions(+), 1 deletion(-)
diff --git a/maths/spearman_rank_correlation_coefficient.py b/maths/spearman_rank_correlation_coefficient.py
index 10ea3591c208..268ee53c865d 100644
--- a/maths/spearman_rank_correlation_coefficient.py
+++ b/maths/spearman_rank_correlation_coefficient.py
@@ -1,6 +1,17 @@
def rankdata(arr):
"""
Assigns ranks to elements in the array.
+
+ :param arr: List of floats.
+ :return: List of ints representing the ranks.
+
+ Example:
+ >>> rankdata([3.2, 1.5, 4.0, 2.7, 5.1])
+ [3, 1, 4, 2, 5]
+
+ >>> rankdata([10.5, 8.1, 12.4, 9.3, 11.0])
+ [3, 1, 5, 2, 4]
+
"""
ranked = sorted((value, index) for index, value in enumerate(arr))
ranks = [0] * len(arr)
@@ -15,6 +26,10 @@ def spearman_rank_correlation(x, y):
"""
Calculates Spearman's rank correlation coefficient.
+ :param x: List of floats representing the first variable.
+ :param y: List of floats representing the second variable.
+ :return: Spearman's rank correlation coefficient.
+
Example Usage :
>>> x = [1, 2, 3, 4, 5]
@@ -41,7 +56,7 @@ def spearman_rank_correlation(x, y):
d = [rx - ry for rx, ry in zip(rank_x, rank_y)]
# Calculate the sum of squared differences
- d_squared = sum(di**2 for di in d)
+ d_squared = sum(di ** 2 for di in d)
# Calculate the Spearman's rank correlation coefficient
rho = 1 - (6 * d_squared) / (n * (n**2 - 1))
From 73da2808cd706c093b17b087f87e5ffd85f4ef83 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
<66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Tue, 14 Nov 2023 17:16:55 +0000
Subject: [PATCH 05/17] [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
---
maths/spearman_rank_correlation_coefficient.py | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/maths/spearman_rank_correlation_coefficient.py b/maths/spearman_rank_correlation_coefficient.py
index 268ee53c865d..559b4ebe496e 100644
--- a/maths/spearman_rank_correlation_coefficient.py
+++ b/maths/spearman_rank_correlation_coefficient.py
@@ -56,7 +56,7 @@ def spearman_rank_correlation(x, y):
d = [rx - ry for rx, ry in zip(rank_x, rank_y)]
# Calculate the sum of squared differences
- d_squared = sum(di ** 2 for di in d)
+ d_squared = sum(di**2 for di in d)
# Calculate the Spearman's rank correlation coefficient
rho = 1 - (6 * d_squared) / (n * (n**2 - 1))
From 602bca66c589ca381252247847adca7111d27db3 Mon Sep 17 00:00:00 2001
From: Harsh Kumar <61012869+cyrixninja@users.noreply.github.com>
Date: Wed, 15 Nov 2023 16:17:55 +0530
Subject: [PATCH 06/17] Fixed Issues
---
.../spearman_rank_correlation_coefficient.py | 42 +++++++++----------
1 file changed, 21 insertions(+), 21 deletions(-)
diff --git a/maths/spearman_rank_correlation_coefficient.py b/maths/spearman_rank_correlation_coefficient.py
index 559b4ebe496e..1a6cef55d41c 100644
--- a/maths/spearman_rank_correlation_coefficient.py
+++ b/maths/spearman_rank_correlation_coefficient.py
@@ -1,28 +1,29 @@
-def rankdata(arr):
+from typing import List
+
+def assign_ranks(data: List[float]) -> List[int]:
"""
Assigns ranks to elements in the array.
- :param arr: List of floats.
+ :param data: List of floats.
:return: List of ints representing the ranks.
Example:
- >>> rankdata([3.2, 1.5, 4.0, 2.7, 5.1])
+ >>> assign_ranks([3.2, 1.5, 4.0, 2.7, 5.1])
[3, 1, 4, 2, 5]
- >>> rankdata([10.5, 8.1, 12.4, 9.3, 11.0])
+ >>> assign_ranks([10.5, 8.1, 12.4, 9.3, 11.0])
[3, 1, 5, 2, 4]
-
"""
- ranked = sorted((value, index) for index, value in enumerate(arr))
- ranks = [0] * len(arr)
+ ranked_data = sorted((value, index) for index, value in enumerate(data))
+ ranks = [0] * len(data)
- for pos, (_, index) in enumerate(ranked):
- ranks[index] = pos + 1
+ for position, (_, index) in enumerate(ranked_data):
+ ranks[index] = position + 1
return ranks
-def spearman_rank_correlation(x, y):
+def calculate_spearman_rank_correlation(x: List[float], y: List[float]) -> float:
"""
Calculates Spearman's rank correlation coefficient.
@@ -30,33 +31,32 @@ def spearman_rank_correlation(x, y):
:param y: List of floats representing the second variable.
:return: Spearman's rank correlation coefficient.
- Example Usage :
+ Example Usage:
>>> x = [1, 2, 3, 4, 5]
>>> y = [5, 4, 3, 2, 1]
- >>> spearman_rank_correlation(x, y)
+ >>> calculate_spearman_rank_correlation(x, y)
-1.0
>>> x = [1, 2, 3, 4, 5]
>>> y = [2, 4, 6, 8, 10]
- >>> spearman_rank_correlation(x, y)
+ >>> calculate_spearman_rank_correlation(x, y)
1.0
>>> x = [1, 2, 3, 4, 5]
>>> y = [5, 1, 2, 9, 5]
- >>> spearman_rank_correlation(x, y)
+ >>> calculate_spearman_rank_correlation(x, y)
0.6
-
"""
n = len(x)
- rank_x = rankdata(x)
- rank_y = rankdata(y)
+ rank_x = assign_ranks(x)
+ rank_y = assign_ranks(y)
# Calculate differences of ranks
d = [rx - ry for rx, ry in zip(rank_x, rank_y)]
# Calculate the sum of squared differences
- d_squared = sum(di**2 for di in d)
+ d_squared = sum(di ** 2 for di in d)
# Calculate the Spearman's rank correlation coefficient
rho = 1 - (6 * d_squared) / (n * (n**2 - 1))
@@ -72,15 +72,15 @@ def spearman_rank_correlation(x, y):
# Example usage:
x1 = [1, 2, 3, 4, 5]
y1 = [2, 4, 6, 8, 10]
- rho1 = spearman_rank_correlation(x1, y1)
+ rho1 = calculate_spearman_rank_correlation(x1, y1)
print(f"Spearman's rank correlation coefficient (Example 1): {rho1}")
x2 = [1, 2, 3, 4, 5]
y2 = [5, 4, 3, 2, 1]
- rho2 = spearman_rank_correlation(x2, y2)
+ rho2 = calculate_spearman_rank_correlation(x2, y2)
print(f"Spearman's rank correlation coefficient (Example 2): {rho2}")
x3 = [1, 2, 3, 4, 5]
y3 = [5, 1, 2, 9, 5]
- rho3 = spearman_rank_correlation(x3, y3)
+ rho3 = calculate_spearman_rank_correlation(x3, y3)
print(f"Spearman's rank correlation coefficient (Example 3): {rho3}")
From b1911f0ea8c27c527b10b1b385c21463122d7576 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
<66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Wed, 15 Nov 2023 10:49:24 +0000
Subject: [PATCH 07/17] [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
---
maths/spearman_rank_correlation_coefficient.py | 3 ++-
1 file changed, 2 insertions(+), 1 deletion(-)
diff --git a/maths/spearman_rank_correlation_coefficient.py b/maths/spearman_rank_correlation_coefficient.py
index 1a6cef55d41c..9dd5429ecfdb 100644
--- a/maths/spearman_rank_correlation_coefficient.py
+++ b/maths/spearman_rank_correlation_coefficient.py
@@ -1,5 +1,6 @@
from typing import List
+
def assign_ranks(data: List[float]) -> List[int]:
"""
Assigns ranks to elements in the array.
@@ -56,7 +57,7 @@ def calculate_spearman_rank_correlation(x: List[float], y: List[float]) -> float
d = [rx - ry for rx, ry in zip(rank_x, rank_y)]
# Calculate the sum of squared differences
- d_squared = sum(di ** 2 for di in d)
+ d_squared = sum(di**2 for di in d)
# Calculate the Spearman's rank correlation coefficient
rho = 1 - (6 * d_squared) / (n * (n**2 - 1))
From 0f4da645e413507139da2dc3bcea5ca34bf7047f Mon Sep 17 00:00:00 2001
From: Harsh Kumar <61012869+cyrixninja@users.noreply.github.com>
Date: Wed, 15 Nov 2023 16:23:06 +0530
Subject: [PATCH 08/17] Tried Fixing Issues
---
maths/spearman_rank_correlation_coefficient.py | 7 +++----
1 file changed, 3 insertions(+), 4 deletions(-)
diff --git a/maths/spearman_rank_correlation_coefficient.py b/maths/spearman_rank_correlation_coefficient.py
index 9dd5429ecfdb..fd7e62e357cc 100644
--- a/maths/spearman_rank_correlation_coefficient.py
+++ b/maths/spearman_rank_correlation_coefficient.py
@@ -1,7 +1,6 @@
from typing import List
-
-def assign_ranks(data: List[float]) -> List[int]:
+def assign_ranks(data: list[float]) -> list[int]:
"""
Assigns ranks to elements in the array.
@@ -24,7 +23,7 @@ def assign_ranks(data: List[float]) -> List[int]:
return ranks
-def calculate_spearman_rank_correlation(x: List[float], y: List[float]) -> float:
+def calculate_spearman_rank_correlation(x: list[float], y: list[float]) -> float:
"""
Calculates Spearman's rank correlation coefficient.
@@ -57,7 +56,7 @@ def calculate_spearman_rank_correlation(x: List[float], y: List[float]) -> float
d = [rx - ry for rx, ry in zip(rank_x, rank_y)]
# Calculate the sum of squared differences
- d_squared = sum(di**2 for di in d)
+ d_squared = sum(di ** 2 for di in d)
# Calculate the Spearman's rank correlation coefficient
rho = 1 - (6 * d_squared) / (n * (n**2 - 1))
From e41a7a3a404748fdfe45ca66fee5588222e10904 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
<66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Wed, 15 Nov 2023 10:55:50 +0000
Subject: [PATCH 09/17] [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
---
maths/spearman_rank_correlation_coefficient.py | 3 ++-
1 file changed, 2 insertions(+), 1 deletion(-)
diff --git a/maths/spearman_rank_correlation_coefficient.py b/maths/spearman_rank_correlation_coefficient.py
index fd7e62e357cc..f8648ff38410 100644
--- a/maths/spearman_rank_correlation_coefficient.py
+++ b/maths/spearman_rank_correlation_coefficient.py
@@ -1,5 +1,6 @@
from typing import List
+
def assign_ranks(data: list[float]) -> list[int]:
"""
Assigns ranks to elements in the array.
@@ -56,7 +57,7 @@ def calculate_spearman_rank_correlation(x: list[float], y: list[float]) -> float
d = [rx - ry for rx, ry in zip(rank_x, rank_y)]
# Calculate the sum of squared differences
- d_squared = sum(di ** 2 for di in d)
+ d_squared = sum(di**2 for di in d)
# Calculate the Spearman's rank correlation coefficient
rho = 1 - (6 * d_squared) / (n * (n**2 - 1))
From 3cc9bed179640f27795cea04430978f9f6443b68 Mon Sep 17 00:00:00 2001
From: Harsh Kumar <61012869+cyrixninja@users.noreply.github.com>
Date: Wed, 15 Nov 2023 16:30:14 +0530
Subject: [PATCH 10/17] Tried Fixing Issues
---
.../spearman_rank_correlation_coefficient.py | 19 ++++++++-----------
1 file changed, 8 insertions(+), 11 deletions(-)
diff --git a/maths/spearman_rank_correlation_coefficient.py b/maths/spearman_rank_correlation_coefficient.py
index f8648ff38410..73b740c100c7 100644
--- a/maths/spearman_rank_correlation_coefficient.py
+++ b/maths/spearman_rank_correlation_coefficient.py
@@ -1,6 +1,3 @@
-from typing import List
-
-
def assign_ranks(data: list[float]) -> list[int]:
"""
Assigns ranks to elements in the array.
@@ -24,12 +21,12 @@ def assign_ranks(data: list[float]) -> list[int]:
return ranks
-def calculate_spearman_rank_correlation(x: list[float], y: list[float]) -> float:
+def calculate_spearman_rank_correlation(variable_1: list[float], variable_2: list[float]) -> float:
"""
Calculates Spearman's rank correlation coefficient.
- :param x: List of floats representing the first variable.
- :param y: List of floats representing the second variable.
+ :param variable_1: List of floats representing the first variable.
+ :param variable_2: List of floats representing the second variable.
:return: Spearman's rank correlation coefficient.
Example Usage:
@@ -49,15 +46,15 @@ def calculate_spearman_rank_correlation(x: list[float], y: list[float]) -> float
>>> calculate_spearman_rank_correlation(x, y)
0.6
"""
- n = len(x)
- rank_x = assign_ranks(x)
- rank_y = assign_ranks(y)
+ n = len(variable_1)
+ rank_var1 = assign_ranks(variable_1)
+ rank_var2 = assign_ranks(variable_2)
# Calculate differences of ranks
- d = [rx - ry for rx, ry in zip(rank_x, rank_y)]
+ d = [rx - ry for rx, ry in zip(rank_var1, rank_var2)]
# Calculate the sum of squared differences
- d_squared = sum(di**2 for di in d)
+ d_squared = sum(di ** 2 for di in d)
# Calculate the Spearman's rank correlation coefficient
rho = 1 - (6 * d_squared) / (n * (n**2 - 1))
From 45eb94db684e08b722c05afb7fb35dccff94ecd6 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
<66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Wed, 15 Nov 2023 11:00:53 +0000
Subject: [PATCH 11/17] [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
---
maths/spearman_rank_correlation_coefficient.py | 6 ++++--
1 file changed, 4 insertions(+), 2 deletions(-)
diff --git a/maths/spearman_rank_correlation_coefficient.py b/maths/spearman_rank_correlation_coefficient.py
index 73b740c100c7..bfab264d72e2 100644
--- a/maths/spearman_rank_correlation_coefficient.py
+++ b/maths/spearman_rank_correlation_coefficient.py
@@ -21,7 +21,9 @@ def assign_ranks(data: list[float]) -> list[int]:
return ranks
-def calculate_spearman_rank_correlation(variable_1: list[float], variable_2: list[float]) -> float:
+def calculate_spearman_rank_correlation(
+ variable_1: list[float], variable_2: list[float]
+) -> float:
"""
Calculates Spearman's rank correlation coefficient.
@@ -54,7 +56,7 @@ def calculate_spearman_rank_correlation(variable_1: list[float], variable_2: lis
d = [rx - ry for rx, ry in zip(rank_var1, rank_var2)]
# Calculate the sum of squared differences
- d_squared = sum(di ** 2 for di in d)
+ d_squared = sum(di**2 for di in d)
# Calculate the Spearman's rank correlation coefficient
rho = 1 - (6 * d_squared) / (n * (n**2 - 1))
From e7225e3723ce4e4e62a69044b6d45d22eed65fdc Mon Sep 17 00:00:00 2001
From: Harsh Kumar <61012869+cyrixninja@users.noreply.github.com>
Date: Wed, 15 Nov 2023 16:40:59 +0530
Subject: [PATCH 12/17] Fixed Issues
---
maths/spearman_rank_correlation_coefficient.py | 10 ++++------
1 file changed, 4 insertions(+), 6 deletions(-)
diff --git a/maths/spearman_rank_correlation_coefficient.py b/maths/spearman_rank_correlation_coefficient.py
index bfab264d72e2..56ed3af54ea7 100644
--- a/maths/spearman_rank_correlation_coefficient.py
+++ b/maths/spearman_rank_correlation_coefficient.py
@@ -21,9 +21,7 @@ def assign_ranks(data: list[float]) -> list[int]:
return ranks
-def calculate_spearman_rank_correlation(
- variable_1: list[float], variable_2: list[float]
-) -> float:
+def calculate_spearman_rank_correlation(variable_1: list[float], variable_2: list[float]) -> float:
"""
Calculates Spearman's rank correlation coefficient.
@@ -44,7 +42,7 @@ def calculate_spearman_rank_correlation(
1.0
>>> x = [1, 2, 3, 4, 5]
- >>> y = [5, 1, 2, 9, 5]
+ >>> y = [5, 1, 2, 6, 5]
>>> calculate_spearman_rank_correlation(x, y)
0.6
"""
@@ -56,7 +54,7 @@ def calculate_spearman_rank_correlation(
d = [rx - ry for rx, ry in zip(rank_var1, rank_var2)]
# Calculate the sum of squared differences
- d_squared = sum(di**2 for di in d)
+ d_squared = sum(di ** 2 for di in d)
# Calculate the Spearman's rank correlation coefficient
rho = 1 - (6 * d_squared) / (n * (n**2 - 1))
@@ -81,6 +79,6 @@ def calculate_spearman_rank_correlation(
print(f"Spearman's rank correlation coefficient (Example 2): {rho2}")
x3 = [1, 2, 3, 4, 5]
- y3 = [5, 1, 2, 9, 5]
+ y3 = [5, 1, 2, 6, 5]
rho3 = calculate_spearman_rank_correlation(x3, y3)
print(f"Spearman's rank correlation coefficient (Example 3): {rho3}")
From d465b1106a9ca1c9ca1170d752459201204393dd Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
<66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Wed, 15 Nov 2023 11:11:36 +0000
Subject: [PATCH 13/17] [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
---
maths/spearman_rank_correlation_coefficient.py | 6 ++++--
1 file changed, 4 insertions(+), 2 deletions(-)
diff --git a/maths/spearman_rank_correlation_coefficient.py b/maths/spearman_rank_correlation_coefficient.py
index 56ed3af54ea7..6c794e731c18 100644
--- a/maths/spearman_rank_correlation_coefficient.py
+++ b/maths/spearman_rank_correlation_coefficient.py
@@ -21,7 +21,9 @@ def assign_ranks(data: list[float]) -> list[int]:
return ranks
-def calculate_spearman_rank_correlation(variable_1: list[float], variable_2: list[float]) -> float:
+def calculate_spearman_rank_correlation(
+ variable_1: list[float], variable_2: list[float]
+) -> float:
"""
Calculates Spearman's rank correlation coefficient.
@@ -54,7 +56,7 @@ def calculate_spearman_rank_correlation(variable_1: list[float], variable_2: lis
d = [rx - ry for rx, ry in zip(rank_var1, rank_var2)]
# Calculate the sum of squared differences
- d_squared = sum(di ** 2 for di in d)
+ d_squared = sum(di**2 for di in d)
# Calculate the Spearman's rank correlation coefficient
rho = 1 - (6 * d_squared) / (n * (n**2 - 1))
From 0a30ec56f3490993f2295fe95ffbf317e7b7aa3d Mon Sep 17 00:00:00 2001
From: Harsh Kumar <61012869+cyrixninja@users.noreply.github.com>
Date: Thu, 16 Nov 2023 19:30:47 +0530
Subject: [PATCH 14/17] Fixed Issues
---
maths/spearman_rank_correlation_coefficient.py | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/maths/spearman_rank_correlation_coefficient.py b/maths/spearman_rank_correlation_coefficient.py
index 6c794e731c18..bfab264d72e2 100644
--- a/maths/spearman_rank_correlation_coefficient.py
+++ b/maths/spearman_rank_correlation_coefficient.py
@@ -44,7 +44,7 @@ def calculate_spearman_rank_correlation(
1.0
>>> x = [1, 2, 3, 4, 5]
- >>> y = [5, 1, 2, 6, 5]
+ >>> y = [5, 1, 2, 9, 5]
>>> calculate_spearman_rank_correlation(x, y)
0.6
"""
@@ -81,6 +81,6 @@ def calculate_spearman_rank_correlation(
print(f"Spearman's rank correlation coefficient (Example 2): {rho2}")
x3 = [1, 2, 3, 4, 5]
- y3 = [5, 1, 2, 6, 5]
+ y3 = [5, 1, 2, 9, 5]
rho3 = calculate_spearman_rank_correlation(x3, y3)
print(f"Spearman's rank correlation coefficient (Example 3): {rho3}")
From d3dec3bf724341eb88de0576f5987670753d0d4f Mon Sep 17 00:00:00 2001
From: Christian Clauss <cclauss@me.com>
Date: Sat, 25 Nov 2023 15:05:37 +0100
Subject: [PATCH 15/17] Apply suggestions from code review
---
.../spearman_rank_correlation_coefficient.py | 24 +++++++------------
1 file changed, 9 insertions(+), 15 deletions(-)
diff --git a/maths/spearman_rank_correlation_coefficient.py b/maths/spearman_rank_correlation_coefficient.py
index bfab264d72e2..120bf8d58689 100644
--- a/maths/spearman_rank_correlation_coefficient.py
+++ b/maths/spearman_rank_correlation_coefficient.py
@@ -1,3 +1,6 @@
+from collections.abc import Sequence
+
+
def assign_ranks(data: list[float]) -> list[int]:
"""
Assigns ranks to elements in the array.
@@ -22,7 +25,7 @@ def assign_ranks(data: list[float]) -> list[int]:
def calculate_spearman_rank_correlation(
- variable_1: list[float], variable_2: list[float]
+ variable_1: Sequence[float], variable_2: Sequence[float]
) -> float:
"""
Calculates Spearman's rank correlation coefficient.
@@ -70,17 +73,8 @@ def calculate_spearman_rank_correlation(
doctest.testmod()
# Example usage:
- x1 = [1, 2, 3, 4, 5]
- y1 = [2, 4, 6, 8, 10]
- rho1 = calculate_spearman_rank_correlation(x1, y1)
- print(f"Spearman's rank correlation coefficient (Example 1): {rho1}")
-
- x2 = [1, 2, 3, 4, 5]
- y2 = [5, 4, 3, 2, 1]
- rho2 = calculate_spearman_rank_correlation(x2, y2)
- print(f"Spearman's rank correlation coefficient (Example 2): {rho2}")
-
- x3 = [1, 2, 3, 4, 5]
- y3 = [5, 1, 2, 9, 5]
- rho3 = calculate_spearman_rank_correlation(x3, y3)
- print(f"Spearman's rank correlation coefficient (Example 3): {rho3}")
+ print(f"{calculate_spearman_rank_correlation([1, 2, 3, 4, 5], [2, 4, 6, 8, 10]) = }")
+
+ print(f"{calculate_spearman_rank_correlation([1, 2, 3, 4, 5], [5, 4, 3, 2, 1]) = }")
+
+ print(f"{calculate_spearman_rank_correlation([1, 2, 3, 4, 5], [5, 1, 2, 9, 5]) = }")
From e6f24beaf6277a40152275f46d8ca92924790c0f Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
<66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Sat, 25 Nov 2023 14:06:06 +0000
Subject: [PATCH 16/17] [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
---
maths/spearman_rank_correlation_coefficient.py | 4 +++-
1 file changed, 3 insertions(+), 1 deletion(-)
diff --git a/maths/spearman_rank_correlation_coefficient.py b/maths/spearman_rank_correlation_coefficient.py
index 120bf8d58689..67f68dd5dbbd 100644
--- a/maths/spearman_rank_correlation_coefficient.py
+++ b/maths/spearman_rank_correlation_coefficient.py
@@ -73,7 +73,9 @@ def calculate_spearman_rank_correlation(
doctest.testmod()
# Example usage:
- print(f"{calculate_spearman_rank_correlation([1, 2, 3, 4, 5], [2, 4, 6, 8, 10]) = }")
+ print(
+ f"{calculate_spearman_rank_correlation([1, 2, 3, 4, 5], [2, 4, 6, 8, 10]) = }"
+ )
print(f"{calculate_spearman_rank_correlation([1, 2, 3, 4, 5], [5, 4, 3, 2, 1]) = }")
From 32e448a8ad375702fefd45988d96a5573473bdc3 Mon Sep 17 00:00:00 2001
From: Christian Clauss <cclauss@me.com>
Date: Sat, 25 Nov 2023 15:08:14 +0100
Subject: [PATCH 17/17] Update maths/spearman_rank_correlation_coefficient.py
---
maths/spearman_rank_correlation_coefficient.py | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/maths/spearman_rank_correlation_coefficient.py b/maths/spearman_rank_correlation_coefficient.py
index 67f68dd5dbbd..32ff6b9e3d71 100644
--- a/maths/spearman_rank_correlation_coefficient.py
+++ b/maths/spearman_rank_correlation_coefficient.py
@@ -1,7 +1,7 @@
from collections.abc import Sequence
-def assign_ranks(data: list[float]) -> list[int]:
+def assign_ranks(data: Sequence[float]) -> list[int]:
"""
Assigns ranks to elements in the array.