Create columns of array values based on multiple conditions on column from other dataframe
0
I am new to Python. I need to create a dataframe column - (array-like) based on condition and extract it from other dataframe.
df-
Date A App T
1/12/2018 1 ABC 1
1/13/2018 2 DDC 2
1/14/2018 3 SDC 3
1/15/2018 4 MDC 4
1/16/2018 1 ABC 8
df2-
A H App
1 H1 ABC
1 H2 ABC
1 H3 ABC
1 H4 ABC
2 H5 DDC
2 H1 DDC
3 H2 SDC
3 H5 SDC
4 H3 MDC
Desired Result-
I need to add another column (OtherApp) to df as below (Just few samples are shown)-
Date A App T OtherApp
1/12/2018 1 ABC 1 [DDC,SDC,MDC]
1/13/2018 2 DDC 2 [ABC,SDC]
1/14/2018 3 SDC 3 [ABC,DDC]
1/15/2018 4 MDC 4 [ABC]
Logic behind this -
- Take A for each value T (unique- valued column) column from df .
- Match the A with df2 data and get all the H associated to the particular A value.
- Get all the App hosted in the H values obtained from step-2.
Greatly appreciate any help!
python pandas dataframe
asked Nov 16 '18 at 0:47
Sparsha DevapalliSparsha Devapalli
596
add a comment |
0
I am new to Python. I need to create a dataframe column - (array-like) based on condition and extract it from other dataframe.
df-
Date A App T
1/12/2018 1 ABC 1
1/13/2018 2 DDC 2
1/14/2018 3 SDC 3
1/15/2018 4 MDC 4
1/16/2018 1 ABC 8
df2-
A H App
1 H1 ABC
1 H2 ABC
1 H3 ABC
1 H4 ABC
2 H5 DDC
2 H1 DDC
3 H2 SDC
3 H5 SDC
4 H3 MDC
Desired Result-
I need to add another column (OtherApp) to df as below (Just few samples are shown)-
Date A App T OtherApp
1/12/2018 1 ABC 1 [DDC,SDC,MDC]
1/13/2018 2 DDC 2 [ABC,SDC]
1/14/2018 3 SDC 3 [ABC,DDC]
1/15/2018 4 MDC 4 [ABC]
Logic behind this -
- Take A for each value T (unique- valued column) column from df .
- Match the A with df2 data and get all the H associated to the particular A value.
- Get all the App hosted in the H values obtained from step-2.
Greatly appreciate any help!
python pandas dataframe
asked Nov 16 '18 at 0:47
Sparsha DevapalliSparsha Devapalli
596
2
What have you tried so far? Also, please post data as text, not images. We can't copy and paste from this.
– Peter Leimbigler
Nov 16 '18 at 1:03
Sorry, didn't knew images create issue for Copy + Paste. I tried a for loop for each record in df and used a loc functionality inside to get the list of values of H from df2, but it doesn't too right and was not able to obtain the list of values of H.
– Sparsha Devapalli
Nov 16 '18 at 2:05
Please edit your post to add the code you have tried, its difficult for us to see where your issue is without your code. But for output 1 you can try:idx, unique_values = np.unique(df.A,return_index=True)
– Jetman
Nov 16 '18 at 5:44
add a comment |
0
0
0
I am new to Python. I need to create a dataframe column - (array-like) based on condition and extract it from other dataframe.
df-
Date A App T
1/12/2018 1 ABC 1
1/13/2018 2 DDC 2
1/14/2018 3 SDC 3
1/15/2018 4 MDC 4
1/16/2018 1 ABC 8
df2-
A H App
1 H1 ABC
1 H2 ABC
1 H3 ABC
1 H4 ABC
2 H5 DDC
2 H1 DDC
3 H2 SDC
3 H5 SDC
4 H3 MDC
Desired Result-
I need to add another column (OtherApp) to df as below (Just few samples are shown)-
Date A App T OtherApp
1/12/2018 1 ABC 1 [DDC,SDC,MDC]
1/13/2018 2 DDC 2 [ABC,SDC]
1/14/2018 3 SDC 3 [ABC,DDC]
1/15/2018 4 MDC 4 [ABC]
Logic behind this -
- Take A for each value T (unique- valued column) column from df .
- Match the A with df2 data and get all the H associated to the particular A value.
- Get all the App hosted in the H values obtained from step-2.
Greatly appreciate any help!
python pandas dataframe
asked Nov 16 '18 at 0:47
Sparsha DevapalliSparsha Devapalli
596
I am new to Python. I need to create a dataframe column - (array-like) based on condition and extract it from other dataframe.
df-
Date A App T
1/12/2018 1 ABC 1
1/13/2018 2 DDC 2
1/14/2018 3 SDC 3
1/15/2018 4 MDC 4
1/16/2018 1 ABC 8
df2-
A H App
1 H1 ABC
1 H2 ABC
1 H3 ABC
1 H4 ABC
2 H5 DDC
2 H1 DDC
3 H2 SDC
3 H5 SDC
4 H3 MDC
Desired Result-
I need to add another column (OtherApp) to df as below (Just few samples are shown)-
Date A App T OtherApp
1/12/2018 1 ABC 1 [DDC,SDC,MDC]
1/13/2018 2 DDC 2 [ABC,SDC]
1/14/2018 3 SDC 3 [ABC,DDC]
1/15/2018 4 MDC 4 [ABC]
Logic behind this -
- Take A for each value T (unique- valued column) column from df .
- Match the A with df2 data and get all the H associated to the particular A value.
- Get all the App hosted in the H values obtained from step-2.
Greatly appreciate any help!
python pandas dataframe
python pandas dataframe
asked Nov 16 '18 at 0:47
Sparsha DevapalliSparsha Devapalli
596
asked Nov 16 '18 at 0:47
Sparsha DevapalliSparsha Devapalli
596
edited Nov 16 '18 at 2:02
Sparsha Devapalli
asked Nov 16 '18 at 0:47
Sparsha DevapalliSparsha Devapalli
596
asked Nov 16 '18 at 0:47
Sparsha DevapalliSparsha Devapalli
596
asked Nov 16 '18 at 0:47
Sparsha DevapalliSparsha Devapalli
596
596
2
What have you tried so far? Also, please post data as text, not images. We can't copy and paste from this.
– Peter Leimbigler
Nov 16 '18 at 1:03
Sorry, didn't knew images create issue for Copy + Paste. I tried a for loop for each record in df and used a loc functionality inside to get the list of values of H from df2, but it doesn't too right and was not able to obtain the list of values of H.
– Sparsha Devapalli
Nov 16 '18 at 2:05
Please edit your post to add the code you have tried, its difficult for us to see where your issue is without your code. But for output 1 you can try:idx, unique_values = np.unique(df.A,return_index=True)
– Jetman
Nov 16 '18 at 5:44
add a comment |
2
What have you tried so far? Also, please post data as text, not images. We can't copy and paste from this.
– Peter Leimbigler
Nov 16 '18 at 1:03
Sorry, didn't knew images create issue for Copy + Paste. I tried a for loop for each record in df and used a loc functionality inside to get the list of values of H from df2, but it doesn't too right and was not able to obtain the list of values of H.
– Sparsha Devapalli
Nov 16 '18 at 2:05
Please edit your post to add the code you have tried, its difficult for us to see where your issue is without your code. But for output 1 you can try:idx, unique_values = np.unique(df.A,return_index=True)
– Jetman
Nov 16 '18 at 5:44
2
2
What have you tried so far? Also, please post data as text, not images. We can't copy and paste from this.
– Peter Leimbigler
Nov 16 '18 at 1:03
What have you tried so far? Also, please post data as text, not images. We can't copy and paste from this.
– Peter Leimbigler
Nov 16 '18 at 1:03
Sorry, didn't knew images create issue for Copy + Paste. I tried a for loop for each record in df and used a loc functionality inside to get the list of values of H from df2, but it doesn't too right and was not able to obtain the list of values of H.
– Sparsha Devapalli
Nov 16 '18 at 2:05
Sorry, didn't knew images create issue for Copy + Paste. I tried a for loop for each record in df and used a loc functionality inside to get the list of values of H from df2, but it doesn't too right and was not able to obtain the list of values of H.
– Sparsha Devapalli
Nov 16 '18 at 2:05
Please edit your post to add the code you have tried, its difficult for us to see where your issue is without your code. But for output 1 you can try:
idx, unique_values = np.unique(df.A,return_index=True)– Jetman
Nov 16 '18 at 5:44
Please edit your post to add the code you have tried, its difficult for us to see where your issue is without your code. But for output 1 you can try:
idx, unique_values = np.unique(df.A,return_index=True)– Jetman
Nov 16 '18 at 5:44
add a comment |
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2
What have you tried so far? Also, please post data as text, not images. We can't copy and paste from this.
– Peter Leimbigler
Nov 16 '18 at 1:03
Sorry, didn't knew images create issue for Copy + Paste. I tried a for loop for each record in df and used a loc functionality inside to get the list of values of H from df2, but it doesn't too right and was not able to obtain the list of values of H.
– Sparsha Devapalli
Nov 16 '18 at 2:05
Please edit your post to add the code you have tried, its difficult for us to see where your issue is without your code. But for output 1 you can try:
idx, unique_values = np.unique(df.A,return_index=True)– Jetman
Nov 16 '18 at 5:44