# HG changeset patch
# User iuc
# Date 1747211982 0
# Node ID 293a939f28c8c34816726b4754090a03781661b2
planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/main/tools/seaborn commit 24dc6373560bd5e409fca84154634f5a528001c3
diff -r 000000000000 -r 293a939f28c8 macros.xml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/macros.xml Wed May 14 08:39:42 2025 +0000
@@ -0,0 +1,87 @@
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+ 0.13.2
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+ topic_0092
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+ operation_0337
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+ seaborn
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+import pandas as pd
+import seaborn as sns
+import numpy as np
+import matplotlib.pyplot as plt
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+file_name = "$input_data"
+file_extension = "$input_data.ext"
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+transformation = $transformation
+output_format = "png"
+output_file = "${output_file}"
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+# load and transform data
+if file_extension == "csv":
+ df = pd.read_csv(file_name, index_col=index_col)
+elif file_extension in ["tsv", "tabular"]:
+ df = pd.read_csv(file_name, sep="\t", index_col=index_col)
+elif file_extension == "parquet":
+ df = pd.read_parquet(file_name, index_col=index_col)
+else:
+ raise ValueError(f"Unsupported file format: {file_extension}")
+data = df.apply(lambda x: transformation(x) if np.issubdtype(x.dtype, np.number) else x)
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+ 10.21105/joss.03021
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\ No newline at end of file
diff -r 000000000000 -r 293a939f28c8 seaborn.xml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/seaborn.xml Wed May 14 08:39:42 2025 +0000
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+ generate various plots using seaborn
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+ macros.xml
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diff -r 000000000000 -r 293a939f28c8 test-data/mtcars.txt
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/mtcars.txt Wed May 14 08:39:42 2025 +0000
@@ -0,0 +1,33 @@
+brand mpg cyl disp hp drat wt qsec vs am gear carb
+Mazda RX4 21 6 160 110 3.9 2.62 16.46 0 1 4 4
+Mazda RX4 Wag 21 6 160 110 3.9 2.875 17.02 0 1 4 4
+Datsun 710 22.8 4 108 93 3.85 2.32 18.61 1 1 4 1
+Hornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1
+Hornet Sportabout 18.7 8 360 175 3.15 3.44 17.02 0 0 3 2
+Valiant 18.1 6 225 105 2.76 3.46 20.22 1 0 3 1
+Duster 360 14.3 8 360 245 3.21 3.57 15.84 0 0 3 4
+Merc 240D 24.4 4 146.7 62 3.69 3.19 20 1 0 4 2
+Merc 230 22.8 4 140.8 95 3.92 3.15 22.9 1 0 4 2
+Merc 280 19.2 6 167.6 123 3.92 3.44 18.3 1 0 4 4
+Merc 280C 17.8 6 167.6 123 3.92 3.44 18.9 1 0 4 4
+Merc 450SE 16.4 8 275.8 180 3.07 4.07 17.4 0 0 3 3
+Merc 450SL 17.3 8 275.8 180 3.07 3.73 17.6 0 0 3 3
+Merc 450SLC 15.2 8 275.8 180 3.07 3.78 18 0 0 3 3
+Cadillac Fleetwood 10.4 8 472 205 2.93 5.25 17.98 0 0 3 4
+Lincoln Continental 10.4 8 460 215 3 5.424 17.82 0 0 3 4
+Chrysler Imperial 14.7 8 440 230 3.23 5.345 17.42 0 0 3 4
+Fiat 128 32.4 4 78.7 66 4.08 2.2 19.47 1 1 4 1
+Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
+Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.9 1 1 4 1
+Toyota Corona 21.5 4 120.1 97 3.7 2.465 20.01 1 0 3 1
+Dodge Challenger 15.5 8 318 150 2.76 3.52 16.87 0 0 3 2
+AMC Javelin 15.2 8 304 150 3.15 3.435 17.3 0 0 3 2
+Camaro Z28 13.3 8 350 245 3.73 3.84 15.41 0 0 3 4
+Pontiac Firebird 19.2 8 400 175 3.08 3.845 17.05 0 0 3 2
+Fiat X1-9 27.3 4 79 66 4.08 1.935 18.9 1 1 4 1
+Porsche 914-2 26 4 120.3 91 4.43 2.14 16.7 0 1 5 2
+Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.9 1 1 5 2
+Ford Pantera L 15.8 8 351 264 4.22 3.17 14.5 0 1 5 4
+Ferrari Dino 19.7 6 145 175 3.62 2.77 15.5 0 1 5 6
+Maserati Bora 15 8 301 335 3.54 3.57 14.6 0 1 5 8
+Volvo 142E 21.4 4 121 109 4.11 2.78 18.6 1 1 4 2