From a94928e85b0830be10a46055121f7e86775ddb79 Mon Sep 17 00:00:00 2001
From: Christian Cleberg <hello@cleberg.net>
Date: Sat, 19 Oct 2024 11:32:25 -0500
Subject: move sample script to sampling dir

---
 sample.py          | 30 ------------------------------
 sampling/sample.py | 30 ++++++++++++++++++++++++++++++
 2 files changed, 30 insertions(+), 30 deletions(-)
 delete mode 100644 sample.py
 create mode 100644 sampling/sample.py

diff --git a/sample.py b/sample.py
deleted file mode 100644
index a2435d8..0000000
--- a/sample.py
+++ /dev/null
@@ -1,30 +0,0 @@
-# Import packages
-import pandas as pd
-
-# Define the sample size
-sample_size = 25
-
-# Import the data to a pandas DataFrame
-df = pd.read_csv("FILENAME_GOES_HERE.csv")
-
-# ALTERNATIVE: If you use Excel, use this instead. Supports xls, xlsx, xlsm,
-# xlsb, odf, ods and odt file extensions.
-# df = pd.read_excel("FILENAME_GOES_HERE.xlsx")
-
-# Print totals prior to sampling
-print("Dataframe size (rows, columns): ", df.shape)
-
-# Sample
-sample = df.sample(sample_size)
-print("Sample size: ", sample_size)
-print("Sample:\n", sample)
-
-# ALTERNATIVE: Replacement Samples
-#
-# If you want replacement samples (e.g., 10 samples & 3 replacements), you will
-# need to increase sample size to the total you want (e.g., 13). If that is
-# larger than the population, you will need to use the `replace=True` parameter.
-#
-# # Sample Size: 25 + 5 replacement samples
-# sample_size = 30
-# sample = df.sample(30, replace=True)
diff --git a/sampling/sample.py b/sampling/sample.py
new file mode 100644
index 0000000..a2435d8
--- /dev/null
+++ b/sampling/sample.py
@@ -0,0 +1,30 @@
+# Import packages
+import pandas as pd
+
+# Define the sample size
+sample_size = 25
+
+# Import the data to a pandas DataFrame
+df = pd.read_csv("FILENAME_GOES_HERE.csv")
+
+# ALTERNATIVE: If you use Excel, use this instead. Supports xls, xlsx, xlsm,
+# xlsb, odf, ods and odt file extensions.
+# df = pd.read_excel("FILENAME_GOES_HERE.xlsx")
+
+# Print totals prior to sampling
+print("Dataframe size (rows, columns): ", df.shape)
+
+# Sample
+sample = df.sample(sample_size)
+print("Sample size: ", sample_size)
+print("Sample:\n", sample)
+
+# ALTERNATIVE: Replacement Samples
+#
+# If you want replacement samples (e.g., 10 samples & 3 replacements), you will
+# need to increase sample size to the total you want (e.g., 13). If that is
+# larger than the population, you will need to use the `replace=True` parameter.
+#
+# # Sample Size: 25 + 5 replacement samples
+# sample_size = 30
+# sample = df.sample(30, replace=True)
-- 
cgit v1.2.3-70-g09d2