【Python 实战基础】Pandas如何给股票数据新增年份和月份
目录
一、实战场景
实战场景：Pandas如何给股票数据新增年份和月份
二、主要知识点
三、菜鸟实战
马上安排！
1、创建 python 文件
"""
给股票数据新增年份和月份
"""
import pandas as pd
df = pd.read_csv("./00100.csv")
print(df)
# to_datetime变成时间类型
df["Date"] = pd.to_datetime(df["Date"])
df["Year"] = df["Date"].dt.year
df["Month"] = df["Date"].dt.month
print(df)2、运行结果
Date Open High Low Close Volume
0 2021-09-30 456.000 464.600 453.800 461.400 17335451
1 2021-09-29 461.600 465.000 450.200 465.000 18250450
2 2021-09-28 467.000 476.200 464.600 469.800 20947276
3 2021-09-27 459.000 473.000 455.200 464.600 17966998
4 2021-09-24 461.400 473.400 456.200 460.200 16656914
... ... ... ... ... ... ...
4262 2004-06-23 4.050 4.450 4.025 4.425 55016000
4263 2004-06-21 4.125 4.125 3.950 4.000 22817000
4264 2004-06-18 4.200 4.250 3.950 4.025 36598000
4265 2004-06-17 4.150 4.375 4.125 4.225 83801500
4266 2004-06-16 4.375 4.625 4.075 4.150 439775000[4267 rows x 6 columns]
Date Open High Low Close Volume Year Month
0 2021-09-30 456.000 464.600 453.800 461.400 17335451 2021 9
1 2021-09-29 461.600 465.000 450.200 465.000 18250450 2021 9
2 2021-09-28 467.000 476.200 464.600 469.800 20947276 2021 9
3 2021-09-27 459.000 473.000 455.200 464.600 17966998 2021 9
4 2021-09-24 461.400 473.400 456.200 460.200 16656914 2021 9
... ... ... ... ... ... ... ... ...
4262 2004-06-23 4.050 4.450 4.025 4.425 55016000 2004 6
4263 2004-06-21 4.125 4.125 3.950 4.000 22817000 2004 6
4264 2004-06-18 4.200 4.250 3.950 4.025 36598000 2004 6
4265 2004-06-17 4.150 4.375 4.125 4.225 83801500 2004 6
4266 2004-06-16 4.375 4.625 4.075 4.150 439775000 2004 6[4267 rows x 8 columns]
菜鸟实战，持续学习!