根据 pandas 中其他列的值计算捐款总额

Question

我正在尝试计算来自房地产行业的竞选捐款数据的货币总和。

realestate_counter = 0
realestate_donations = 0
for row in range(df.shape[0]): #for each row in the dataframe
    if 'realestate' in df.iloc[row]['Occupation']:
        realestate_donations = realestate_donations + int(row)
        print(df.iloc[row]['Amount'])
        realestate_counter = realestate_counter + 1
#         print('-------')
print('$' + str(realestate_donations) +' was doanted from the real estate industry.')
print('There are ' + str(realestate_counter) +' Real Estate donors.')

我的数据框有多种职业，但我只对房地产感兴趣。代码块打印职业为 realestate 的捐赠值并尝试对其求和。

我将 print(df.iloc[row]['Amount]) 打印的数字粘贴到 Google sheet 中并在那里求和。

该金额与这行代码计算的金额大不相同ealestate_donations = realestate_donations + int(row)

Google sheets: 72200

我的代码：23973

我怀疑我的代码哪里出了问题，Google sheet 是准确的。

我已经复制了下面的整个打印输出：

500.0
200.0
1000.0
1000.0
1000.0
1000.0
100.0
50.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
1000.0
-1000.0
1000.0
-1000.0
-1000.0
1000.0
1000.0
1000.0
1000.0
500.0
300.0
100.0
1000.0
1000.0
1000.0
1000.0
100.0
250.0
100.0
250.0
250.0
500.0
1000.0
973 was doanted from the real estate industry.
There are 88 Real Estate donors.

Answer 1

这是一个精简的示例，但应该能满足您的需求

df = pd.DataFrame({'occupation':['real estate','real estate','real estate','banker','baker'], 'donation':range(11,16)})

    occupation  donation
0  real estate        11
1  real estate        12
2  real estate        13
3       banker        14
4        baker        15

# filter on occupation
df[df['occupation']=='real estate']

    occupation  donation
0  real estate        11
1  real estate        12
2  real estate        13

# sum of all donations
df[df['occupation']=='real estate']['donation'].sum()

36

# count of all donations
df[df['occupation']=='real estate']['donation'].count()

3

Groupby 比较

df.groupby('occupation').sum()

             donation
occupation
baker              15
banker             14
real estate        36

df.groupby('occupation').count()

             donation
occupation
baker               1
banker              1
real estate         3

根据 pandas 中其他列的值计算捐款总额

Calculate sum of donation money based on value in other column in pandas

python

dataframe

pandas

data-cleaning