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Cleanup
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227
hexlib/plot.py
227
hexlib/plot.py
@ -1,227 +0,0 @@
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import matplotlib.pyplot as plt
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import numpy as np
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from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay
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DATA = [
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*["apple"] * 5,
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*["banana"] * 12,
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*["strawberry"] * 8,
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*["pineapple"] * 2,
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]
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class Cmap:
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Accent = "Accent"
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Accent_r = "Accent_r"
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Blues = "Blues"
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Blues_r = "Blues_r"
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BrBG = "BrBG"
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BrBG_r = "BrBG_r"
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BuGn = "BuGn"
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BuGn_r = "BuGn_r"
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BuPu = "BuPu"
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BuPu_r = "BuPu_r"
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CMRmap = "CMRmap"
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CMRmap_r = "CMRmap_r"
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Dark2 = "Dark2"
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Dark2_r = "Dark2_r"
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GnBu = "GnBu"
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GnBu_r = "GnBu_r"
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Greens = "Greens"
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Greens_r = "Greens_r"
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Greys = "Greys"
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Greys_r = "Greys_r"
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OrRd = "OrRd"
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OrRd_r = "OrRd_r"
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Oranges = "Oranges"
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Oranges_r = "Oranges_r"
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PRGn = "PRGn"
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PRGn_r = "PRGn_r"
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Paired = "Paired"
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Paired_r = "Paired_r"
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Pastel1 = "Pastel1"
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Pastel1_r = "Pastel1_r"
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Pastel2 = "Pastel2"
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Pastel2_r = "Pastel2_r"
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PiYG = "PiYG"
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PiYG_r = "PiYG_r"
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PuBu = "PuBu"
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PuBuGn = "PuBuGn"
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PuBuGn_r = "PuBuGn_r"
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PuBu_r = "PuBu_r"
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PuOr = "PuOr"
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PuOr_r = "PuOr_r"
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PuRd = "PuRd"
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PuRd_r = "PuRd_r"
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Purples = "Purples"
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Purples_r = "Purples_r"
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RdBu = "RdBu"
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RdBu_r = "RdBu_r"
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RdGy = "RdGy"
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RdGy_r = "RdGy_r"
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RdPu = "RdPu"
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RdPu_r = "RdPu_r"
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RdYlBu = "RdYlBu"
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RdYlBu_r = "RdYlBu_r"
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RdYlGn = "RdYlGn"
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RdYlGn_r = "RdYlGn_r"
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Reds = "Reds"
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Reds_r = "Reds_r"
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Set1 = "Set1"
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Set1_r = "Set1_r"
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Set2 = "Set2"
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Set2_r = "Set2_r"
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Set3 = "Set3"
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Set3_r = "Set3_r"
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Spectral = "Spectral"
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Spectral_r = "Spectral_r"
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Wistia = "Wistia"
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Wistia_r = "Wistia_r"
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YlGn = "YlGn"
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YlGnBu = "YlGnBu"
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YlGnBu_r = "YlGnBu_r"
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YlGn_r = "YlGn_r"
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YlOrBr = "YlOrBr"
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YlOrBr_r = "YlOrBr_r"
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YlOrRd = "YlOrRd"
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YlOrRd_r = "YlOrRd_r"
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afmhot = "afmhot"
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afmhot_r = "afmhot_r"
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autumn = "autumn"
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autumn_r = "autumn_r"
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binary = "binary"
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binary_r = "binary_r"
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bone = "bone"
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bone_r = "bone_r"
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brg = "brg"
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brg_r = "brg_r"
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bwr = "bwr"
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bwr_r = "bwr_r"
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cividis = "cividis"
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cividis_r = "cividis_r"
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cool = "cool"
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cool_r = "cool_r"
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coolwarm = "coolwarm"
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coolwarm_r = "coolwarm_r"
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copper = "copper"
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copper_r = "copper_r"
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cubehelix = "cubehelix"
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cubehelix_r = "cubehelix_r"
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flag = "flag"
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flag_r = "flag_r"
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gist_earth = "gist_earth"
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gist_earth_r = "gist_earth_r"
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gist_gray = "gist_gray"
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gist_gray_r = "gist_gray_r"
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gist_heat = "gist_heat"
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gist_heat_r = "gist_heat_r"
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gist_ncar = "gist_ncar"
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gist_ncar_r = "gist_ncar_r"
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gist_rainbow = "gist_rainbow"
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gist_rainbow_r = "gist_rainbow_r"
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gist_stern = "gist_stern"
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gist_stern_r = "gist_stern_r"
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gist_yarg = "gist_yarg"
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gist_yarg_r = "gist_yarg_r"
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gnuplot = "gnuplot"
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gnuplot2 = "gnuplot2"
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gnuplot2_r = "gnuplot2_r"
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gnuplot_r = "gnuplot_r"
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gray = "gray"
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gray_r = "gray_r"
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hot = "hot"
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hot_r = "hot_r"
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hsv = "hsv"
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hsv_r = "hsv_r"
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inferno = "inferno"
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inferno_r = "inferno_r"
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jet = "jet"
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jet_r = "jet_r"
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magma = "magma"
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magma_r = "magma_r"
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nipy_spectral = "nipy_spectral"
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nipy_spectral_r = "nipy_spectral_r"
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ocean = "ocean"
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ocean_r = "ocean_r"
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pink = "pink"
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pink_r = "pink_r"
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plasma = "plasma"
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plasma_r = "plasma_r"
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prism = "prism"
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prism_r = "prism_r"
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rainbow = "rainbow"
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rainbow_r = "rainbow_r"
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seismic = "seismic"
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seismic_r = "seismic_r"
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spring = "spring"
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spring_r = "spring_r"
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summer = "summer"
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summer_r = "summer_r"
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tab10 = "tab10"
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tab10_r = "tab10_r"
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tab20 = "tab20"
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tab20_r = "tab20_r"
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tab20b = "tab20b"
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tab20b_r = "tab20b_r"
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tab20c = "tab20c"
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tab20c_r = "tab20c_r"
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terrain = "terrain"
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terrain_r = "terrain_r"
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turbo = "turbo"
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turbo_r = "turbo_r"
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twilight = "twilight"
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twilight_r = "twilight_r"
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twilight_shifted = "twilight_shifted"
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twilight_shifted_r = "twilight_shifted_r"
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viridis = "viridis"
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viridis_r = "viridis_r"
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winter = "winter"
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winter_r = "winter_r"
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def plot_freq_bar(items, ylabel="frequency", title=""):
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item_set, item_counts = np.unique(items, return_counts=True)
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plt.bar(item_set, item_counts)
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plt.xticks(rotation=35)
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plt.ylabel(ylabel)
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plt.title(title)
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for i, cnt in enumerate(item_counts):
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plt.text(x=i, y=cnt / 2, s=cnt, ha="center", color="white")
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plt.tight_layout()
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def plot_confusion_matrix(y_true=None, y_pred=None, cm=None, labels=None, title=None, cmap=None):
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if not cm:
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cm = confusion_matrix(y_true, y_pred, labels=labels)
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if type(cm) == list:
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cm = np.array(cm)
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cm_display = ConfusionMatrixDisplay(cm, display_labels=labels)
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cm_display.plot(cmap=cmap)
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if title:
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plt.title(title)
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if labels:
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plt.xticks(rotation=30)
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plt.tight_layout()
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if __name__ == '__main__':
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plot_freq_bar(DATA, title="My title")
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plt.show()
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plot_confusion_matrix(
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cm=[[12, 1, 0],
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[3, 14, 1],
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[5, 6, 7]],
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title="My title",
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labels=["apple", "orange", "grape"],
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cmap=Cmap.viridis
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)
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plt.show()
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6
setup.py
6
setup.py
@ -2,7 +2,7 @@ from setuptools import setup
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setup(
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name="hexlib",
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version="1.77",
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version="1.78",
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description="Misc utility methods",
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author="simon987",
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author_email="me@simon987.net",
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@ -12,9 +12,9 @@ setup(
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"data/*"
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]},
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install_requires=[
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"ImageHash", "influxdb", "siphash", "python-dateutil", "redis", "orjson", "zstandard",
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"influxdb", "siphash", "python-dateutil", "redis", "orjson", "zstandard",
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"u-msgpack-python", "psycopg2-binary", "bs4", "lxml", "nltk", "numpy",
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"matplotlib", "scikit-learn", "fake-useragent @ git+https://github.com/Jordan9675/fake-useragent",
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"matplotlib", "fake-useragent @ git+https://github.com/Jordan9675/fake-useragent",
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"requests"
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]
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)
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