Question

有两个数据帧，一个有很少的信息（df1），另一个有所有数据（df2）。我想在df1中的新列中创建，找到Total2值并根据Names相应地填充新列。请注意，df1中可见的名称将始终在名称df2中找到匹配项。我想知道Pandas中是否有一些功能已经这样做了？我的最终目标是创建一个条形图。

alldatapath = "all_data.csv"
filteredpath = "filtered.csv"

import pandas as pd

df1 = pd.read_csv(
    filteredpath,     # file name
    sep=',',                    # column separator
    quotechar='"',              # quoting character
    na_values="NA",                # fill missing values with 0
    usecols=[0,1],     # columns to use
    decimal='.')                # symbol for decimals

df2 = pd.read_csv(
    alldatapath,     # file name
    sep=',',                    # column separator
    quotechar='"',              # quoting character
    na_values="NA",                # fill missing values with 0
    usecols=[0,1],     # columns to use
    decimal='.')                # symbol for decimals

df1 = df1.head(5) #trim to top 5

print(df1)
print(df2)

输出（df1）：

         Name  Total
0  Accounting      3
1   Reporting      1
2     Finance      1
3       Audit      1
4    Template      2

输出（df2）：

          Name   Total2
0    Reporting    100
1   Accounting    120
2      Finance    400
3        Audit    500
4  Information     50
5     Template   1200
6      KnowHow   2000

最终输出（df1）应该是这样的：

         Name  Total  Total2(new column)
0  Accounting      3    120
1   Reporting      1    100
2     Finance      1    400
3       Audit      1    500
4    Template      2   1200

Answer 1

首先需要Series df1['Total2'] = df1['Name'].map(df2.set_index('Name')['Total2']) print (df1) Name Total Total2 0 Accounting 3 120 1 Reporting 1 100 2 Finance 1 400 3 Audit 1 500 4 Template 2 1200新列：

df1.set_index('Name').plot.bar()

然后map与set_index：

val headers_10 = Map("Content-Type" -> """application/json""", "API-KEY" -> "your_api_key", "Authorization Bearer" -> "auth_bearer")

使用其他数据框

1 个答案: