I have a dataframe with coordinates x0,y0,x1,y1. I am trying to get a list of the coordinate
datafrme is like-
x0 y0 x1 y1 x2 y2 ...
1 179.0 77.0 186.0 93.0 165.0 91.0...
2 178.0 76.0 185.0 93.0 164.0 91.0...
desired output
[ [ [179.0,77.0], [186.0,93.0], [165.0,91.0 ],... ],
[ [178.0,76.0 ],[185.0,93.0 ],[164.0,91.0 ] ,... ]
]
I am trying to get a list of coordinates with row-wise
I have tried this
df = pd.read_csv(path,header=None)
df.reset_index(drop=True, inplace=True)
data = df.values.tolist()
Thank you for any and all insight!
[[[y['x0'], y['y0']], [y['x1'], y['y1']], [y['x2'], y['y2']]]for x,y in df.iterrows()]
df here will be your dataframe
the output will look like the format you described
[ [ [179.0,77.0], [186.0,93.0], [165.0,91.0 ],... ],
[ [178.0,76.0 ],[185.0,93.0 ],[164.0,91.0 ] ,... ]
]
Use reshape
if performance is important:
a = len(df.columns)
b = len(df)
L = df.values.reshape(b, a).reshape(b, a // 2, 2).tolist()
print (L)
[[[179.0, 77.0], [186.0, 93.0], [165.0, 91.0]],
[[178.0, 76.0], [185.0, 93.0], [164.0, 91.0]]]
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.