以下,是在pandas中拼接数据集的方法。原理不作赘述,具体请看示例。
00. 构造数据集
# 数据集一
import pandas as pd
df1 = pd.DataFrame({
"品类":["蔬菜","蔬菜","水果","水产"],
"商品":["白菜","土豆","苹果","鲫鱼"],
"销量":[10,20,30,40]
})
df1
# 数据集二
import pandas as pd
df2 = pd.DataFrame({
"品类":["蔬菜","蔬菜","水果","水产"],
"商品":["白菜","土豆","苹果","河虾"],
"销售额":[100,200,300,400]
})
df2
01. 取交集
# 取交集
df3 = pd.merge(df1, df2, on = ["品类","商品"])
df3
02. 取并集
# 取并集
df4 = pd.merge(df1, df2, how = "outer")
df4
03. 左拼接
# 左拼接
df5 = pd.merge(df1, df2, how = "left")
df5
04. 右拼接
# 右拼接
df6 = pd.merge(df1, df2, how = "right")
df6
05. 按索引拼接
# 根据索引进行合并
df7 = pd.merge(df1, df2, left_index = True, right_index = True)
df7
06. 职场实用技巧
- Excel比率可视化
https://www.bilibili.com/video/BV1NU4y1d7EZ?spm_id_from=333.999.0.0
- 怎么制作可筛选的Excel折线图
https://www.bilibili.com/video/BV1Ju411X7Kw?spm_id_from=333.999.0.0
- 怎么用隔行填充来美化Excel表格
https://www.bilibili.com/video/BV1Q34y1m756?spm_id_from=333.999.0.0
- 用剪切板制作出好看的Excel可视化
https://www.bilibili.com/video/BV12q4y1P72X?spm_id_from=333.999.0.0
- 如何做出好看的Excel可视化图表
https://www.bilibili.com/video/BV11Q4y1f7VH?spm_id_from=333.999.0.0
- 解除工作簿密码保护
https://www.bilibili.com/video/BV1uM4y137JN?spm_id_from=333.999.0.0
- 如何用VBA代码移除工作表密码
https://www.bilibili.com/video/BV1144y187bw?spm_id_from=333.999.0.0
- 在Excel中怎么用控件制作出具有交互性的可视化图表
https://www.bilibili.com/video/BV1Y44y1C7Lc?spm_id_from=333.999.0.0
- 制作可控制开关的数据条
https://www.bilibili.com/video/BV19q4y1H7yV?spm_id_from=333.999.0.0
- 如何用Excel制作一个“动态电子表”
https://www.bilibili.com/video/BV1J44y1m7CP?spm_id_from=333.999.0.0
- 会说话的Excel表格
https://www.bilibili.com/video/BV1qB4y1N7Q2?spm_id_from=333.999.0.0
- 切片器的应用
https://www.bilibili.com/video/BV1hT4y197G8?spm_id_from=333.999.0.0
- Excel字符串函数玩法集锦
https://www.bilibili.com/video/BV19o4y1m7aE?spm_id_from=333.999.0.0
- 如何在Excel中重置索引
https://www.bilibili.com/video/BV1LK4y1N7TM?spm_id_from=333.999.0.0
- 条件格式+函数的妙用
https://www.bilibili.com/video/BV1ab4y1Z7Ns?spm_id_from=333.999.0.0
- Excel中的字符串拼接
https://www.bilibili.com/video/BV1of4y1h7iy?spm_id_from=333.999.0.0
- 空白内容错列填充
https://www.bilibili.com/video/BV1yq4y1j7XK?spm_id_from=333.999.0.0
- 用Excel函数制作工资条
https://www.bilibili.com/video/BV1YA41137c7?spm_id_from=333.999.0.0
- 在Excel表格中用Power Query 做聚合运算
https://www.bilibili.com/video/BV1A64y1o7Cc?spm_id_from=333.999.0.0
- vlookup函数的那些坑
https://www.bilibili.com/video/BV1Df4y187aP?spm_id_from=333.999.0.0
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