diff --git a/calc_cc_xyz.py b/calc_cc_xyz.py
new file mode 100644
index 0000000..53d9706
--- /dev/null
+++ b/calc_cc_xyz.py
@@ -0,0 +1,46 @@
+import csv
+
+import matplotlib.pyplot as plt
+import numpy as np
+from scipy.interpolate import interp1d
+
+
+def read_spectrum_csv(filename, wl):
+    # csv読み込み
+    with open(filename, newline="") as f:
+        csvreader = csv.reader(f)
+        data_org = np.array([[float(val) for val in row] for row in csvreader])
+    wl_org = data_org[:, 0]
+
+    # return wl_org, data[:, 1:]
+    data = np.zeros([len(wl), data_org.shape[-1] - 1])
+    for i in range(data.shape[-1]):
+        resampler = interp1d(wl_org, data_org[:, 1 + i], kind="linear")
+        data[:, i] = resampler(wl)
+    return data
+
+
+wl = np.linspace(400, 700, 61)
+cmf = read_spectrum_csv("cmf.csv", wl)
+d65 = read_spectrum_csv("d65.csv", wl)
+cc24 = read_spectrum_csv("cc24.csv", wl)
+
+print(d65.shape, cmf[:, 1].shape)
+K = 100.0 / (d65[:, 0] @ cmf[:, 1])
+XYZw = (d65.T @ cmf) * K
+print("White point of D65 = ", XYZw[0])
+rep = np.repeat(d65.T, cc24.shape[-1], 0)
+print(rep.shape, cc24.T.shape)
+XYZcc24 = ((rep * cc24.T) @ cmf) * K
+print(XYZcc24)
+
+np.savetxt("XYZ_output.csv", XYZcc24, delimiter=",", fmt="%.4f")
+
+# plt.subplot(1, 3, 1)
+# plt.plot(wl, cmf)
+# plt.subplot(1, 3, 2)
+# plt.plot(wl, d65)
+# plt.subplot(1, 3, 3)
+# plt.plot(wl, cc24)
+
+# plt.show()
diff --git a/cc24.csv b/cc24.csv
new file mode 100644
index 0000000..d552272
--- /dev/null
+++ b/cc24.csv
@@ -0,0 +1,81 @@
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diff --git a/cmf.csv b/cmf.csv
new file mode 100644
index 0000000..06a11be
--- /dev/null
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diff --git a/d65.csv b/d65.csv
new file mode 100644
index 0000000..61b6317
--- /dev/null
+++ b/d65.csv
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