Pandas scratch

scratch.py

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+import timeit
+import numpy
+import pandas
+
+pandas.set_option("display.max_columns", 12)
+pandas.set_option("display.width", 160)
+
+VALUES = ["arch", "prof", "elite", "might", "fury", "quickness", "alacrity", "swiftness", "vigor", "regeneration", "protection", "dps", "cleave", "received", "shielded", "crit", "flanking", "scholar", "seaweed"]
+quantiles = numpy.arange(0, 1, 0.01)
+
+frame = pandas.DataFrame(data=numpy.random.rand(100000, len(VALUES)), columns=VALUES)
+frame["arch"] = frame["arch"].apply(numpy.digitize, args=[[0.2, 0.4, 1.0]])
+frame["prof"] = frame["prof"].apply(numpy.digitize, args=[[0.1, 0.2, 0.3, 0.4, 0.6, 0.7, 0.8, 0.9, 1.0]])
+frame["elite"] = frame["elite"].apply(numpy.digitize, args=[[0.1, 0.4, 1.0]])
+frame["might"] = frame["might"].apply(lambda x: x * 25)
+frame["dps"] = frame["dps"].apply(lambda x: round(x * 15000))
+frame["cleave"] = frame["cleave"].apply(lambda x: round(x * 20000))
+frame["received"] = frame["received"].apply(lambda x: round(x * 500000))
+frame["shielded"] = frame["shielded"].apply(lambda x: round(x * 250000))
+
+frame.astype({
+    "arch": numpy.int8,
+    "prof": numpy.int8,
+    "elite": numpy.int8,
+}, copy=False)
+
+def analyze():
+    for arch in range(3):
+        for prof in range(9):
+            for elite in range(3):
+                subframe = frame[(frame["arch"] == arch) & (frame["prof"] == prof) & (frame["elite"] == elite)]
+                subframe = subframe[["might", "fury", "quickness", "alacrity", "swiftness", "vigor", "regeneration",
+                                     "protection", "dps", "cleave", "received", "shielded", "crit", "flanking",
+                                     "scholar", "seaweed"]]
+                analysis = subframe.quantile(quantiles)
+                analysis.index = (analysis.index * 100).astype(numpy.int8)
+                analysis.loc["min"] = subframe.min()
+                analysis.loc["mean"] = subframe.mean()
+                analysis.loc["max"] = subframe.max()
+
+                # print("Current frame: Arch", arch, "Prof", prof, "Elite", elite)
+                # print(analysis)
+
+for i in range(20):
+    analyze()