Hướng dẫn column as argument python - cột dưới dạng đối số python

Question

Vì vậy, tôi có một lượng lớn các cột trong khung dữ liệu gấu trúc và tôi cần vượt qua các nhóm của chúng thông qua một chức năng. Hàm lớn nhưng tôi sẽ tạo một ví dụ dưới đây. Tôi không chắc chắn làm thế nào để chuyển tham chiếu của df.varname cho chức năng mà không gặp vấn đề về biến không được xác định. Khi tôi thử một chức năng như:

Nội dung chính Show

Làm thế nào để bạn áp dụng một hàm cho cột DataFrame?

Nội phân chính

Làm thế nào để bạn áp dụng một hàm cho cột DataFrame?
Chúng ta có thể chuyển DataFrame cho chức năng không?
Làm cách nào để vượt qua một cột cụ thể trong gấu trúc?
Làm thế nào để bạn sử dụng khung dữ liệu trong một chức năng?

def bianco2(df, varX, varT):
    stdX = np.std(df.varX)
    stdT = np.std(df.varT)
    newVar = stdX + stdT
    return newVar

Tôi nhận được lỗi mà VARX không được xác định. Vì vậy, tôi đã viết chức năng nơi tôi sẽ vượt qua toàn bộ cụm từ:

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

Trong đó "varx = df.varx".

Điều này đã hoạt động nhưng không thực tế cho một số lượng lớn các biến vì tôi vẫn phải cập nhật thủ công từng VARX và VART. Vì vậy, tôi đã thử tạo một danh sách các biến trong định dạng df.varx và sau đó sử dụng một vòng lặp để vượt qua danh sách các biến. Vấn đề là Python coi đó là một chuỗi và không phải là một tài liệu tham khảo. Tôi đã xem xét sử dụng functools.partial nhưng không thành công.

Bất kỳ ý tưởng nào về cách viết điều này theo định dạng đơn giản và có thể chuyển các cột gấu trúc cho một chức năng?

Đã hỏi ngày 22 tháng 2 năm 2017 lúc 21:13Feb 22, 2017 at 21:13

1

Bạn có thể muốn thử cái này?

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

đầu vào

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

đầu ra

  2095.39309492

Đã trả lời ngày 22 tháng 2 năm 2017 lúc 21:20Feb 22, 2017 at 21:20

ShijoshijoShijo

8.6752 Huy hiệu vàng17 Huy hiệu bạc 30 Huy hiệu Đồng2 gold badges17 silver badges30 bronze badges

1

Xem thảo luận

Cải thiện bài viết

Lưu bài viết

Đọc

Bàn luận

Xem thảo luận

Cải thiện bài viết

Lưu bài viết

ĐọcDataframe/series.apply() method to apply a function.

Bàn luận Dataframe/series.apply(func, convert_dtype=True, args=())
Trong bài viết này, chúng tôi sẽ tìm hiểu các cách khác nhau để áp dụng một hàm cho các cột hoặc hàng được chọn hoặc được chọn trong DataFrame. Chúng tôi sẽ sử dụng phương thức dataFrame/series.apply () để áp dụng một hàm. This method will take following parameters :
func: It takes a function and applies it to all values of pandas series.
convert_dtype: Convert dtype as per the function’s operation.
args=(): Additional arguments to pass to function instead of series.
Cú pháp: dataFrame/series.apply (func, convert_dtype = true, args = ()) Pandas Series after applied function/operation.

Tham số: Phương thức này sẽ thực hiện các tham số sau: Func: Nó có hàm và áp dụng nó cho tất cả các giá trị của pandas series.convert_dtype: Chuyển đổi DTYPE theo chức năng Hoạt động của chức năng.Args = (): Đối số bổ sung để chuyển sang chức năng thay vì chuỗi. Using Dataframe.apply() and lambda function.
Example 1: For Column

Loại trả lại: Sê -ri Pandas sau khi chức năng/hoạt động ứng dụng.

Phương pháp 1: Sử dụng Dataframe.apply() và ________ 6. Ví dụ 1: cho cột

import pandas as pd

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

0

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

1

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

2

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

4

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

6

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

9

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

0

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

1

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

0

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

2

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

4

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

5

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

6

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

7

import

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

0

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

1

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

3

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

4

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

6

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

8

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

9

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

8

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

  2095.39309492

0

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

  2095.39309492

2

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

1

  2095.39309492

4

  2095.39309492

5

lambda function7

  2095.39309492

6
2095.39309492
7
def bianco3(varX, varT): stdX = np.std(varX) stdT = np.(varT) newVar = stdX + stdT return newVar
2
2095.39309492
2
def bianco2(df, varX, varT): stdX = np.std(df[varX]) stdT = np.std(df[varT]) newVar = stdX + stdT return newVar print bianco2(df,'Customer','Policy')
1Dataframe.apply()1Dataframe.apply()2

Is For Row.

Loại trả lại: Sê -ri Pandas sau khi chức năng/hoạt động ứng dụng.

Phương pháp 1: Sử dụng Dataframe.apply() và ________ 6. Ví dụ 1: cho cột

import pandas as pd

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

0

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

1

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

2

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

4

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

6

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

9

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

0

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

1

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

0

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

2

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

4

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

5

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

6

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

7

import

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

0

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

1

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

3

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

4

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

6

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

8

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

9

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

8

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

  2095.39309492

0

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

  2095.39309492

2

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

1

  2095.39309492

4

  2095.39309492

5

  2095.39309492

6

  2095.39309492

7

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

  2095.39309492

2

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

1Dataframe.apply()1Dataframe.apply()2

lambda function7

  2095.39309492

6
2095.39309492
7
def bianco3(varX, varT): stdX = np.std(varX) stdT = np.(varT) newVar = stdX + stdT return newVar
2
2095.39309492
2
def bianco2(df, varX, varT): stdX = np.std(df[varX]) stdT = np.std(df[varT]) newVar = stdX + stdT return newVar print bianco2(df,'Customer','Policy')
1Dataframe.apply()1Dataframe.apply()2

Is Using

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

34 & [ ] Operator.

Đầu ra: For Column.

Loại trả lại: Sê -ri Pandas sau khi chức năng/hoạt động ứng dụng.

Phương pháp 1: Sử dụng Dataframe.apply() và ________ 6. Ví dụ 1: cho cột

import pandas as pd

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

0

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

1

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

2

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

4

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

6

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

9

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

0

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

1

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

0

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

2

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

4

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

5

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

6

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

7

import

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

0

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

1

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

3

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

4

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

6

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

8

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

9

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

8

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

  2095.39309492

0

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

  2095.39309492

2

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

1

  2095.39309492

4

  2095.39309492

5

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

90

  2095.39309492

6
2095.39309492
7
def bianco3(varX, varT): stdX = np.std(varX) stdT = np.(varT) newVar = stdX + stdT return newVar
2
2095.39309492
2
def bianco2(df, varX, varT): stdX = np.std(df[varX]) stdT = np.std(df[varT]) newVar = stdX + stdT return newVar print bianco2(df,'Customer','Policy')
1Dataframe.apply()1Dataframe.apply()2

Is For Row.

Loại trả lại: Sê -ri Pandas sau khi chức năng/hoạt động ứng dụng.

Phương pháp 1: Sử dụng Dataframe.apply() và ________ 6. Ví dụ 1: cho cột

import pandas as pd

import

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

0

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

0

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

1

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

0

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

2

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

4

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

5

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

6

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

7

import

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

0

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

1

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

3

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

4

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

6

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

8

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

9

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

8

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

  2095.39309492

0

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

  2095.39309492

2

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

1

  2095.39309492

4

  2095.39309492

5

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

90

Đầu ra:

Phương pháp 3: Sử dụng phương pháp

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

47 và toán tử
def bianco2(df, varX, varT): stdX = np.std(df[varX]) stdT = np.std(df[varT]) newVar = stdX + stdT return newVar print bianco2(df,'Customer','Policy')
48. Ví dụ 1: cho cột Using

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

47 method and

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

48 operator.
Example 1: For Column

import pandas as pd

import

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

0

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

1

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

3

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

4

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

6

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

8

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

9

Các

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

0

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

1

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

0

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

2

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

4

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

5

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

6

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

7

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

8

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

  2095.39309492

0

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

  2095.39309492

2

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

1

  2095.39309492

4

  2095.39309492

5

  2095.39309492

6

  2095.39309492

7

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

  2095.39309492

2

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

1Dataframe.apply()1Dataframe.apply()2

Các

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

02

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

03

Đầu ra:

Ví dụ 2: cho hàng. For Row.

import pandas as pd

import

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

0

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

1

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

3

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

4

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

6

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

8

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

9

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

0

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

1

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

2

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

4

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

6

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

9

Các

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

6

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

7

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

8

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

  2095.39309492

0

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

  2095.39309492

2

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

1

  2095.39309492

4

  2095.39309492

5

  2095.39309492

6

  2095.39309492

7

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

  2095.39309492

2

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

1Dataframe.apply()1Dataframe.apply()2

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

90

Đầu ra:

Các

Ví dụ 2: cho hàng. For Column

import pandas as pd

import

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

0

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

1

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

3

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

4

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

6

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

8

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

9

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

0

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

1

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

2

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

4

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

6

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

9

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

0

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

1

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

0

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

2

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

4

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

5

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

6

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

7

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

8

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

  2095.39309492

0

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

  2095.39309492

2

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

1

  2095.39309492

4

  2095.39309492

5

  2095.39309492

6

  2095.39309492

7

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

  2095.39309492

2

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

1Dataframe.apply()1Dataframe.apply()2

Các

lambda function7

Đầu ra:

Ví dụ 2: cho hàng. For Row.

import pandas as pd

import

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

0

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

1

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

3

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

4

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

6

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

8

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

9

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

0

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

1

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

2

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

4

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

6

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

9

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

0

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

1

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

0

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

2

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

5

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

4

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

5

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

6

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

7

Các

  2095.39309492

6

  2095.39309492

7

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

  2095.39309492

2

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

1Dataframe.apply()1Dataframe.apply()2

Các

Ví dụ 2: cho hàng.

lambda function7

Đầu ra:

Các

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

8

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

  2095.39309492

0

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

37

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

25

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

83

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

52

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

25

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

01

Chúng tôi cũng có thể áp dụng một hàm cho nhiều cột hoặc hàng trong DataFrame.

Ví dụ 1: cho cột

Is

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

8

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

  2095.39309492

0

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

  2095.39309492

2

def bianco2(df, varX, varT):
    stdX = np.std(df[varX])
    stdT = np.std(df[varT])
    newVar = stdX + stdT
    return newVar

print bianco2(df,'Customer','Policy')

1

  2095.39309492

4

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

9. The apply() method passes into the the string_to_float() function a row from the df dataframe one by one. The row['value'] is simply the row of the df dataframe that is being passed onto the function.

Is

  2095.39309492

83

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

29

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

2

def bianco3(varX, varT):
    stdX = np.std(varX)
    stdT = np.(varT)
    newVar = stdX + stdT
    return newVar

4

   Policy  Customer  Employee CoveredDate   LapseDate
0     123      1234      1234  2011-06-01  2013-01-01
1     124      1234      1234  2016-01-01  2013-01-01
2     124      5678      5555  2014-01-01  2013-01-01

5put the string name of the column in brackets. Returns a pandas series. Passing a list in the brackets lets you select multiple columns at the same time.

Làm thế nào để bạn áp dụng một hàm cho cột DataFrame?

Tạo một dữ liệu dạng bảng hai chiều, có kích thước, có khả năng không đồng nhất, DF ..The apply() function is used to apply a function along an axis of the DataFrame. Objects passed to the function are Series objects whose index is either the DataFrame's index (axis=0) or the DataFrame's columns (axis=1).

programming python