Convert dataframe into dictionary
8
I have a dataframe and i want it to select a few columns and convert it into Dictionary in the a certain manner
Dataframe:
and here's the output I want
{20: [4.6, 4.3, 4.3, 20],
21: [4.6, 4.3, 4.3, 21],
22: [6.0, 5.6, 9.0, 22],
23: [8.75, 5.6, 6.6, 23]}
I have tried this
items_dic = data[["Length","Width","Height","Pid" ]].set_index('Pid').T.to_dict('list')
items_dic = {20: [4.6, 4.3, 4.3],
21: [4.6, 4.3, 4.3],
22: [6.0, 5.6, 9.0],
23: [8.75, 5.6, 6.6]}
but this does not include Pid in the list of values
Can someone explain why ?
python python-3.x pandas dictionary
edited 17 hours ago
jezrael
346k25301374
asked 17 hours ago
Rahul SharmaRahul Sharma
957
New contributor
Rahul Sharma is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
8
I have a dataframe and i want it to select a few columns and convert it into Dictionary in the a certain manner
Dataframe:
and here's the output I want
{20: [4.6, 4.3, 4.3, 20],
21: [4.6, 4.3, 4.3, 21],
22: [6.0, 5.6, 9.0, 22],
23: [8.75, 5.6, 6.6, 23]}
I have tried this
items_dic = data[["Length","Width","Height","Pid" ]].set_index('Pid').T.to_dict('list')
items_dic = {20: [4.6, 4.3, 4.3],
21: [4.6, 4.3, 4.3],
22: [6.0, 5.6, 9.0],
23: [8.75, 5.6, 6.6]}
but this does not include Pid in the list of values
Can someone explain why ?
python python-3.x pandas dictionary
edited 17 hours ago
jezrael
346k25301374
asked 17 hours ago
Rahul SharmaRahul Sharma
957
New contributor
Rahul Sharma is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
1
Please, write the dataframe in proper format, not in picture.
– pistol2myhead
17 hours ago
I am sorry but I am fairly new to SO and I don't know how to do that
– Rahul Sharma
17 hours ago
2
drop=Falseinset_indexis what you need
– Sreeram TP
17 hours ago
add a comment |
8
8
8
I have a dataframe and i want it to select a few columns and convert it into Dictionary in the a certain manner
Dataframe:
and here's the output I want
{20: [4.6, 4.3, 4.3, 20],
21: [4.6, 4.3, 4.3, 21],
22: [6.0, 5.6, 9.0, 22],
23: [8.75, 5.6, 6.6, 23]}
I have tried this
items_dic = data[["Length","Width","Height","Pid" ]].set_index('Pid').T.to_dict('list')
items_dic = {20: [4.6, 4.3, 4.3],
21: [4.6, 4.3, 4.3],
22: [6.0, 5.6, 9.0],
23: [8.75, 5.6, 6.6]}
but this does not include Pid in the list of values
Can someone explain why ?
python python-3.x pandas dictionary
edited 17 hours ago
jezrael
346k25301374
asked 17 hours ago
Rahul SharmaRahul Sharma
957
New contributor
Rahul Sharma is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
I have a dataframe and i want it to select a few columns and convert it into Dictionary in the a certain manner
Dataframe:
and here's the output I want
{20: [4.6, 4.3, 4.3, 20],
21: [4.6, 4.3, 4.3, 21],
22: [6.0, 5.6, 9.0, 22],
23: [8.75, 5.6, 6.6, 23]}
I have tried this
items_dic = data[["Length","Width","Height","Pid" ]].set_index('Pid').T.to_dict('list')
items_dic = {20: [4.6, 4.3, 4.3],
21: [4.6, 4.3, 4.3],
22: [6.0, 5.6, 9.0],
23: [8.75, 5.6, 6.6]}
but this does not include Pid in the list of values
Can someone explain why ?
python python-3.x pandas dictionary
python python-3.x pandas dictionary
edited 17 hours ago
jezrael
346k25301374
asked 17 hours ago
Rahul SharmaRahul Sharma
957
New contributor
Rahul Sharma is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited 17 hours ago
jezrael
346k25301374
asked 17 hours ago
Rahul SharmaRahul Sharma
957
New contributor
Rahul Sharma is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited 17 hours ago
jezrael
346k25301374
edited 17 hours ago
jezrael
346k25301374
edited 17 hours ago
jezrael
346k25301374
346k25301374
asked 17 hours ago
Rahul SharmaRahul Sharma
957
New contributor
Rahul Sharma is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 17 hours ago
Rahul SharmaRahul Sharma
957
asked 17 hours ago
Rahul SharmaRahul Sharma
957
957
New contributor
Rahul Sharma is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Rahul Sharma is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Rahul Sharma is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
1
Please, write the dataframe in proper format, not in picture.
– pistol2myhead
17 hours ago
I am sorry but I am fairly new to SO and I don't know how to do that
– Rahul Sharma
17 hours ago
2
drop=Falseinset_indexis what you need
– Sreeram TP
17 hours ago
add a comment |
1
Please, write the dataframe in proper format, not in picture.
– pistol2myhead
17 hours ago
I am sorry but I am fairly new to SO and I don't know how to do that
– Rahul Sharma
17 hours ago
2
drop=Falseinset_indexis what you need
– Sreeram TP
17 hours ago
1
1
Please, write the dataframe in proper format, not in picture.
– pistol2myhead
17 hours ago
Please, write the dataframe in proper format, not in picture.
– pistol2myhead
17 hours ago
I am sorry but I am fairly new to SO and I don't know how to do that
– Rahul Sharma
17 hours ago
I am sorry but I am fairly new to SO and I don't know how to do that
– Rahul Sharma
17 hours ago
2
2
drop=False in set_index is what you need– Sreeram TP
17 hours ago
drop=False in set_index is what you need– Sreeram TP
17 hours ago
add a comment |
2 Answers
2
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9
Set parameter drop=False in DataFrame.set_index, because default parameter drop=False move column to index:
cols = ["Length","Width","Height","Pid"]
items_dic = data[cols].set_index('Pid', drop=False).T.to_dict('list')
print (items_dic)
{20: [4.6, 4.3, 4.3, 20.0],
21: [4.6, 4.3, 4.3, 21.0],
22: [6.0, 5.6, 9.0, 22.0],
23: [8.75, 5.6, 6.6, 23.0]}
answered 17 hours ago
jezraeljezrael
346k25301374
add a comment |
6
Or use dict(zip(...)):
>>> cols = ["Length","Width","Height","Pid"]
>>> items_dic = dict(zip(df['Pid'],df[cols].values.tolist()))
>>> items_dic
{20: [4.8, 4.3, 4.3, 20.0], 21: [4.8, 4.3, 4.3, 21.0], 22: [6.0, 5.6, 9.0, 22.0], 23: [8.75, 5.6, 6.6, 23.0], 24: [6.0, 5.16, 6.6, 24.0]}
>>>
edited 15 hours ago
Mudits
6641928
answered 17 hours ago
U9-ForwardU9-Forward
16.5k51543
add a comment |
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2 Answers
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2 Answers
2
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9
Set parameter drop=False in DataFrame.set_index, because default parameter drop=False move column to index:
cols = ["Length","Width","Height","Pid"]
items_dic = data[cols].set_index('Pid', drop=False).T.to_dict('list')
print (items_dic)
{20: [4.6, 4.3, 4.3, 20.0],
21: [4.6, 4.3, 4.3, 21.0],
22: [6.0, 5.6, 9.0, 22.0],
23: [8.75, 5.6, 6.6, 23.0]}
answered 17 hours ago
jezraeljezrael
346k25301374
add a comment |
9
Set parameter drop=False in DataFrame.set_index, because default parameter drop=False move column to index:
cols = ["Length","Width","Height","Pid"]
items_dic = data[cols].set_index('Pid', drop=False).T.to_dict('list')
print (items_dic)
{20: [4.6, 4.3, 4.3, 20.0],
21: [4.6, 4.3, 4.3, 21.0],
22: [6.0, 5.6, 9.0, 22.0],
23: [8.75, 5.6, 6.6, 23.0]}
answered 17 hours ago
jezraeljezrael
346k25301374
add a comment |
9
9
9
Set parameter drop=False in DataFrame.set_index, because default parameter drop=False move column to index:
cols = ["Length","Width","Height","Pid"]
items_dic = data[cols].set_index('Pid', drop=False).T.to_dict('list')
print (items_dic)
{20: [4.6, 4.3, 4.3, 20.0],
21: [4.6, 4.3, 4.3, 21.0],
22: [6.0, 5.6, 9.0, 22.0],
23: [8.75, 5.6, 6.6, 23.0]}
answered 17 hours ago
jezraeljezrael
346k25301374
Set parameter drop=False in DataFrame.set_index, because default parameter drop=False move column to index:
cols = ["Length","Width","Height","Pid"]
items_dic = data[cols].set_index('Pid', drop=False).T.to_dict('list')
print (items_dic)
{20: [4.6, 4.3, 4.3, 20.0],
21: [4.6, 4.3, 4.3, 21.0],
22: [6.0, 5.6, 9.0, 22.0],
23: [8.75, 5.6, 6.6, 23.0]}
answered 17 hours ago
jezraeljezrael
346k25301374
edited 17 hours ago
answered 17 hours ago
jezraeljezrael
346k25301374
answered 17 hours ago
jezraeljezrael
346k25301374
answered 17 hours ago
jezraeljezrael
346k25301374
346k25301374
add a comment |
add a comment |
6
Or use dict(zip(...)):
>>> cols = ["Length","Width","Height","Pid"]
>>> items_dic = dict(zip(df['Pid'],df[cols].values.tolist()))
>>> items_dic
{20: [4.8, 4.3, 4.3, 20.0], 21: [4.8, 4.3, 4.3, 21.0], 22: [6.0, 5.6, 9.0, 22.0], 23: [8.75, 5.6, 6.6, 23.0], 24: [6.0, 5.16, 6.6, 24.0]}
>>>
edited 15 hours ago
Mudits
6641928
answered 17 hours ago
U9-ForwardU9-Forward
16.5k51543
add a comment |
6
Or use dict(zip(...)):
>>> cols = ["Length","Width","Height","Pid"]
>>> items_dic = dict(zip(df['Pid'],df[cols].values.tolist()))
>>> items_dic
{20: [4.8, 4.3, 4.3, 20.0], 21: [4.8, 4.3, 4.3, 21.0], 22: [6.0, 5.6, 9.0, 22.0], 23: [8.75, 5.6, 6.6, 23.0], 24: [6.0, 5.16, 6.6, 24.0]}
>>>
edited 15 hours ago
Mudits
6641928
answered 17 hours ago
U9-ForwardU9-Forward
16.5k51543
add a comment |
6
6
6
Or use dict(zip(...)):
>>> cols = ["Length","Width","Height","Pid"]
>>> items_dic = dict(zip(df['Pid'],df[cols].values.tolist()))
>>> items_dic
{20: [4.8, 4.3, 4.3, 20.0], 21: [4.8, 4.3, 4.3, 21.0], 22: [6.0, 5.6, 9.0, 22.0], 23: [8.75, 5.6, 6.6, 23.0], 24: [6.0, 5.16, 6.6, 24.0]}
>>>
edited 15 hours ago
Mudits
6641928
answered 17 hours ago
U9-ForwardU9-Forward
16.5k51543
Or use dict(zip(...)):
>>> cols = ["Length","Width","Height","Pid"]
>>> items_dic = dict(zip(df['Pid'],df[cols].values.tolist()))
>>> items_dic
{20: [4.8, 4.3, 4.3, 20.0], 21: [4.8, 4.3, 4.3, 21.0], 22: [6.0, 5.6, 9.0, 22.0], 23: [8.75, 5.6, 6.6, 23.0], 24: [6.0, 5.16, 6.6, 24.0]}
>>>
edited 15 hours ago
Mudits
6641928
answered 17 hours ago
U9-ForwardU9-Forward
16.5k51543
edited 15 hours ago
Mudits
6641928
edited 15 hours ago
Mudits
6641928
edited 15 hours ago
Mudits
6641928
6641928
answered 17 hours ago
U9-ForwardU9-Forward
16.5k51543
answered 17 hours ago
U9-ForwardU9-Forward
16.5k51543
answered 17 hours ago
U9-ForwardU9-Forward
16.5k51543
16.5k51543
add a comment |
add a comment |
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1
Please, write the dataframe in proper format, not in picture.
– pistol2myhead
17 hours ago
I am sorry but I am fairly new to SO and I don't know how to do that
– Rahul Sharma
17 hours ago
2
drop=Falseinset_indexis what you need– Sreeram TP
17 hours ago