Python-科学计算-pandas-11-df获取特定行或者列

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": ["P1", "P2", "P3", "P4", "P5", "P6", "P7", "P8"],
          "value1": [0.5, 0.8, 1.0, 2, 3, 5, 6, 7]}

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

print("\n获取列信息")
print("\n方法1")
list1 = df_1["time"].values.tolist()
list2 = df_1["pos"].values.tolist()
list3 = df_1["value1"].values.tolist()
print("time-列：", list1)
print("time-列，数据类型：", type(list1))
print("pos-列：", list2)
print("value1-列：", list3)

print("\n方法2")
list4 = df_1["time"].tolist()
print("time-列：", list4)
print("time-列，数据类型：", type(list4))

print("\n获取行信息")
df_2 = df_1.T
print(df_2)
list5 = df_2[0].tolist()
print(list5)
print(type(list5))