Connecting points in a specific order
The full code (excluding the path finding algorithm) I am about to describe can be found on Code Review.
I am reading in 10 co-ordinates from a text file in Python. I then proceed to pass the latitude and longitude co-ordinates to a function which prints the points as follows.
def read_two_column_file(file_name):
with open(file_name, 'r') as f_input:
csv_input = csv.reader(f_input, delimiter=' ', skipinitialspace=True, )
long =
lat =
for col in csv_input:
x = float(col[0]) # converting to float
y = float(col[1])
long.append(x)
lat.append(y)
return long, lat
def display_points(long, lat):
plt.figure()
plt.gca().set_aspect('equal', adjustable='box')
plt.ylabel('latitude')
plt.xlabel('longitude')
plt.title('longitude vs latitude')
plt.scatter(lat, long)
plt.orientation = u'vertical'
plt.grid('True')
plt.show()
Sample Input:
35.905333, 14.471970
35.896389, 14.477780
35.901281, 14.518173
35.860491, 14.572245
35.807607, 14.535320
35.832267, 14.455894
35.882414, 14.373217
35.983794, 14.336096
35.974463, 14.351006
35.930951, 14.401137
Plot:
This plots points on a map, and the idea is to find the shortest possible route from a starting point to an end point. Forgetting about the algorithm which does so, let us say I get an output representing the route as:
[2, 1, 0, 9, 8, 7, 6, 5, 4, 3, 2]
How can I translate these nodes back to the co-ordinates they are representing in order to connect them on Matplotlib?
python python-3.x matplotlib
asked Nov 13 '18 at 9:35
Rrz0Rrz0
485518
add a comment |
The full code (excluding the path finding algorithm) I am about to describe can be found on Code Review.
I am reading in 10 co-ordinates from a text file in Python. I then proceed to pass the latitude and longitude co-ordinates to a function which prints the points as follows.
def read_two_column_file(file_name):
with open(file_name, 'r') as f_input:
csv_input = csv.reader(f_input, delimiter=' ', skipinitialspace=True, )
long =
lat =
for col in csv_input:
x = float(col[0]) # converting to float
y = float(col[1])
long.append(x)
lat.append(y)
return long, lat
def display_points(long, lat):
plt.figure()
plt.gca().set_aspect('equal', adjustable='box')
plt.ylabel('latitude')
plt.xlabel('longitude')
plt.title('longitude vs latitude')
plt.scatter(lat, long)
plt.orientation = u'vertical'
plt.grid('True')
plt.show()
Sample Input:
35.905333, 14.471970
35.896389, 14.477780
35.901281, 14.518173
35.860491, 14.572245
35.807607, 14.535320
35.832267, 14.455894
35.882414, 14.373217
35.983794, 14.336096
35.974463, 14.351006
35.930951, 14.401137
Plot:
This plots points on a map, and the idea is to find the shortest possible route from a starting point to an end point. Forgetting about the algorithm which does so, let us say I get an output representing the route as:
[2, 1, 0, 9, 8, 7, 6, 5, 4, 3, 2]
How can I translate these nodes back to the co-ordinates they are representing in order to connect them on Matplotlib?
python python-3.x matplotlib
asked Nov 13 '18 at 9:35
Rrz0Rrz0
485518
add a comment |
The full code (excluding the path finding algorithm) I am about to describe can be found on Code Review.
I am reading in 10 co-ordinates from a text file in Python. I then proceed to pass the latitude and longitude co-ordinates to a function which prints the points as follows.
def read_two_column_file(file_name):
with open(file_name, 'r') as f_input:
csv_input = csv.reader(f_input, delimiter=' ', skipinitialspace=True, )
long =
lat =
for col in csv_input:
x = float(col[0]) # converting to float
y = float(col[1])
long.append(x)
lat.append(y)
return long, lat
def display_points(long, lat):
plt.figure()
plt.gca().set_aspect('equal', adjustable='box')
plt.ylabel('latitude')
plt.xlabel('longitude')
plt.title('longitude vs latitude')
plt.scatter(lat, long)
plt.orientation = u'vertical'
plt.grid('True')
plt.show()
Sample Input:
35.905333, 14.471970
35.896389, 14.477780
35.901281, 14.518173
35.860491, 14.572245
35.807607, 14.535320
35.832267, 14.455894
35.882414, 14.373217
35.983794, 14.336096
35.974463, 14.351006
35.930951, 14.401137
Plot:
This plots points on a map, and the idea is to find the shortest possible route from a starting point to an end point. Forgetting about the algorithm which does so, let us say I get an output representing the route as:
[2, 1, 0, 9, 8, 7, 6, 5, 4, 3, 2]
How can I translate these nodes back to the co-ordinates they are representing in order to connect them on Matplotlib?
python python-3.x matplotlib
asked Nov 13 '18 at 9:35
Rrz0Rrz0
485518
The full code (excluding the path finding algorithm) I am about to describe can be found on Code Review.
I am reading in 10 co-ordinates from a text file in Python. I then proceed to pass the latitude and longitude co-ordinates to a function which prints the points as follows.
def read_two_column_file(file_name):
with open(file_name, 'r') as f_input:
csv_input = csv.reader(f_input, delimiter=' ', skipinitialspace=True, )
long =
lat =
for col in csv_input:
x = float(col[0]) # converting to float
y = float(col[1])
long.append(x)
lat.append(y)
return long, lat
def display_points(long, lat):
plt.figure()
plt.gca().set_aspect('equal', adjustable='box')
plt.ylabel('latitude')
plt.xlabel('longitude')
plt.title('longitude vs latitude')
plt.scatter(lat, long)
plt.orientation = u'vertical'
plt.grid('True')
plt.show()
Sample Input:
35.905333, 14.471970
35.896389, 14.477780
35.901281, 14.518173
35.860491, 14.572245
35.807607, 14.535320
35.832267, 14.455894
35.882414, 14.373217
35.983794, 14.336096
35.974463, 14.351006
35.930951, 14.401137
Plot:
This plots points on a map, and the idea is to find the shortest possible route from a starting point to an end point. Forgetting about the algorithm which does so, let us say I get an output representing the route as:
[2, 1, 0, 9, 8, 7, 6, 5, 4, 3, 2]
How can I translate these nodes back to the co-ordinates they are representing in order to connect them on Matplotlib?
python python-3.x matplotlib
python python-3.x matplotlib
asked Nov 13 '18 at 9:35
Rrz0Rrz0
485518
asked Nov 13 '18 at 9:35
Rrz0Rrz0
485518
edited Nov 13 '18 at 9:50
Rrz0
asked Nov 13 '18 at 9:35
Rrz0Rrz0
485518
asked Nov 13 '18 at 9:35
Rrz0Rrz0
485518
asked Nov 13 '18 at 9:35
Rrz0Rrz0
485518
485518
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
Transform your latitude and longitude into numpy arrays:
long = np.array(long)
lat = np.array(lat)
I would advise to do it in read_two_column_file directly.
Then if the path is in the variable path, you can do directly:
plt.plot(long[path], lat[path])
answered Nov 13 '18 at 9:39
Matthieu BrucherMatthieu Brucher
13k22140
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Transform your latitude and longitude into numpy arrays:
long = np.array(long)
lat = np.array(lat)
I would advise to do it in read_two_column_file directly.
Then if the path is in the variable path, you can do directly:
plt.plot(long[path], lat[path])
answered Nov 13 '18 at 9:39
Matthieu BrucherMatthieu Brucher
13k22140
add a comment |
Transform your latitude and longitude into numpy arrays:
long = np.array(long)
lat = np.array(lat)
I would advise to do it in read_two_column_file directly.
Then if the path is in the variable path, you can do directly:
plt.plot(long[path], lat[path])
answered Nov 13 '18 at 9:39
Matthieu BrucherMatthieu Brucher
13k22140
add a comment |
Transform your latitude and longitude into numpy arrays:
long = np.array(long)
lat = np.array(lat)
I would advise to do it in read_two_column_file directly.
Then if the path is in the variable path, you can do directly:
plt.plot(long[path], lat[path])
answered Nov 13 '18 at 9:39
Matthieu BrucherMatthieu Brucher
13k22140
Transform your latitude and longitude into numpy arrays:
long = np.array(long)
lat = np.array(lat)
I would advise to do it in read_two_column_file directly.
Then if the path is in the variable path, you can do directly:
plt.plot(long[path], lat[path])
answered Nov 13 '18 at 9:39
Matthieu BrucherMatthieu Brucher
13k22140
answered Nov 13 '18 at 9:39
Matthieu BrucherMatthieu Brucher
13k22140
answered Nov 13 '18 at 9:39
Matthieu BrucherMatthieu Brucher
13k22140
answered Nov 13 '18 at 9:39
Matthieu BrucherMatthieu Brucher
13k22140
13k22140
add a comment |
add a comment |
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