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diff --git a/december/task_151221/new_file2.xlsx b/december/task_151221/new_file2.xlsx
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diff --git a/december/task_151221/task2_151221.py b/december/task_151221/task2_151221.py
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+# Date - 15.12.2021
+# Author - Kristiāns Francis Cagulis
+# Title - Pandas demo 2
+
+from textwrap import indent
+from numpy import arctan
+import pandas as pd
+
+file = pd.ExcelFile("dati_masiviem.xlsx")
+
+data = []
+
+for sheet_name in file.sheet_names:
+	data.append(file.parse(sheet_name))
+
+# print(data[0]["Nosaukums"])
+data[0]["Cena"] = round((data[0]["Pašizmaksa"] + .4) * 1.21, 2)
+# print(data[0]["Cena"])
+
+data[0]["Kopā"] = round(data[0]["Cena"] * data[0]["Skaits"], 2)
+
+# print(data[0]["Kopā"])
+
+data[0]["Peļņa"] = round(data[0]["Skaits"] * .4 / 1.21, 2)
+# print(data[0])
+
+insertable_line = data[0][["Skaits", "Cena"]].sum()
+changed_line = pd.DataFrame(data=insertable_line).T
+changed_line = changed_line.reindex(columns=data[0].columns)
+data.append(data[0])
+data[1] = data[1].append(changed_line)
+# print(data[1])
+# print(data[1]["Skaits"])
+
+# dates
+grouped_data = data[0][["Datums", "Skaits"]].groupby("Datums").sum()
+grouped_data.insert(0, "Datums2", grouped_data.index)
+# print(grouped_data)
+
+data.append(grouped_data)
+
+found = data[2]["Datums2"] == "2020-09-09"
+# print(data[2][found])
+
+page_num = 1
+with pd.ExcelWriter("new_file2.xlsx") as file:
+	for page in data:
+		page.to_excel(file, sheet_name=str(page_num), index=False)
+		page_num += 1
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diff --git a/december/task_151221/task_151221.py b/december/task_151221/task_151221.py
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+++ b/december/task_151221/task_151221.py
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+# Date - 15.12.2021
+# Author - Kristiāns Francis Cagulis
+# Title - Pandas demo
+
+import pandas as pd
+
+file = pd.ExcelFile("dzivnieki.xls")
+
+data = []
+
+for sheet_name in file.sheet_names:
+	data.append(file.parse(sheet_name))
+
+# print(data)
+# print(data[0])
+# print(data[0].head(2))
+# print(data[0].tail(2))
+# print(data[0].shape)  # outputs size in tuple
+# print(data[0].shape[0])
+# print(data[0].shape[1])
+
+new_data = pd.concat([data[0], data[1]])  # concatenates data
+# print(new_data)
+
+print(new_data.sort_values("Vecums", ascending=False))  # sorts table by age, inverted
+
+new_data.to_excel("new_file.xls", index=False)
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