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@@ -35,6 +35,8 @@ def readFile():
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def timeMaps(df, plotTitle="maps.png"):
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fig, ax = plt.subplots(figsize=(20,12))
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+ plt.yticks(fontsize=15)
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+ plt.xticks(fontsize=15)
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for mapId, mapDf in df.groupby(["id"]):
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if mapId != "mapbox":
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ax.scatter(mapDf["markers"], mapDf["time"], color=colorLookup.get(mapId))
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@@ -47,18 +49,19 @@ def timeMaps(df, plotTitle="maps.png"):
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typeMapAvgDf = typeDf.groupby(["markers"]).mean().reset_index()
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ax.plot(typeMapAvgDf["markers"], typeMapAvgDf["time"], label=mapTypeId, color=colorLookup.get(mapTypeId))
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- ax.legend(title="Maps")
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- ax.legend(title="Marker Type")
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- ax.set_xlabel("Number of Markers", fontsize=15)
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- ax.set_ylabel("Time (ms)", fontsize=15)
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- ax.set_title("Map Libraries", fontsize=20)
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+ ax.legend(title="Marker Type", fontsize=17, title_fontsize=20)
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+ ax.set_xlabel("Number of Markers", fontsize=20)
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+ ax.set_ylabel("Time (ms)", fontsize=20)
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+ ax.set_title("Map Libraries - Marker", fontsize=25)
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folder = os.path.dirname(os.path.abspath(__file__)) + "/plots/"
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- plt.savefig(folder + plotTitle)
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+ plt.savefig(folder + plotTitle, bbox_inches="tight")
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def mapboxTypes(df, plotTitle="mapbox.png"):
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mapboxDf = df.dropna(subset=["type"])
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fig, ax = plt.subplots(figsize=(20,12))
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+ plt.yticks(fontsize=15)
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+ plt.xticks(fontsize=15)
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for markerType, typeDf in mapboxDf.groupby(["type"]):
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mapId = "mapbox_" + markerType
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ax.scatter(typeDf["markers"], typeDf["time"], label=mapId, color=colorLookup.get(mapId))
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@@ -66,12 +69,12 @@ def mapboxTypes(df, plotTitle="mapbox.png"):
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typeAvgDf = typeDf.groupby(["markers"]).mean().reset_index()
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ax.plot(typeAvgDf["markers"], typeAvgDf["time"], color=colorLookup.get(mapId))
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- ax.legend(title="Marker Type")
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- ax.set_xlabel("Number of Markers", fontsize=15)
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- ax.set_ylabel("Time (ms)", fontsize=15)
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- ax.set_title("Mapbox: Markers and Features", fontsize=20)
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+ ax.legend(title="Marker Type", fontsize=17, title_fontsize=20)
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+ ax.set_xlabel("Number of Markers", fontsize=20)
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+ ax.set_ylabel("Time (ms)", fontsize=20)
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+ ax.set_title("Mapbox: Markers and Features", fontsize=25)
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folder = os.path.dirname(os.path.abspath(__file__)) + "/plots/"
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- plt.savefig(folder + plotTitle)
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+ plt.savefig(folder + plotTitle, bbox_inches="tight")
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def smallValues(df):
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