I have the Pandas Dataframe:
nodes x y z
0 1 0.0000 0.000 0.0000
1 2 0.0000 9.144 0.0000
2 3 19.5072 0.000 0.0000
3 4 19.5072 9.144 0.0000
4 5 9.7536 0.000 0.0000
.. ... ... ... ...
175 176 19.5072 9.144 27.7368
176 177 19.5072 9.144 25.7556
177 178 19.5072 9.144 21.7932
178 179 19.5072 9.144 19.8120
179 180 19.5072 9.144 17.8308
Converting to JSON:
{
"nodes": {
"1": {
"x": 0,
"y": 0,
"z": 0
},
"2": {
"x": 0,
"y": 9.144,
"z": 0
},
"3": {
"x": 19.5072,
"y": 0,
"z": 0
},
"4": {
"x": 19.5072,
"y": 9.144,
"z": 0
},
"5": {
"x": 9.7536,
"y": 0,
"z": 0
},
},
}
I just started to use the python. After Google, I tried:
out = df.to_json(orient = 'records')
print(json.dumps(json.loads(out), indent=4))
The output is:
{
"nodes": 1,
"x": 0.0,
"y": 0.0,
"z": 0.0
},
{
"nodes": 2,
"x": 0.0,
"y": 9.144,
"z": 0.0
},
{
"nodes": 3,
"x": 19.5072,
"y": 0.0,
"z": 0.0
},