Python-科学计算-pandas-12-df单列计算

import pandas as pd

dict_1 = {"time": ["2019-11-02", "2019-11-03", "2019-11-04", "2019-11-05",
                   "2019-12-02", "2019-12-03", "2019-12-04", "2019-12-05"],
          "pos": ["A", "A", "B", "B", "C", "C", "C", "D"],
          "value1": [10, 20, 30, 40, 50, 60, 70, 80],
          "value2": [20, 30, 40, 50, 60, 70, 80, 90]}

df_1 = pd.DataFrame(dict_1, columns=["time", "pos", "value1", "value2"])
print(df_1, "\n")

# 单列计算
# 求和
sum_value = df_1["value1"].sum()
print("求和：", sum_value)
# 求均值
mean_value = df_1["value1"].mean()
print("均值：", mean_value)
# 最大值
max_value = df_1["value1"].max()
print("最大值：", max_value)
# 最小值
min_value = df_1["value1"].min()
print("最小值：", min_value)
# 标准方差
std_value = df_1["value1"].std()
print("标准方差：", std_value)