地理数据 plot/map python 和 matplotlib 中的线条

Geographical data plot/map with lines in python and matplotlib

我记得在博客上看到 post 一种可视化地理数据的好方法。它只是代表纬度的线和要显示的变量的线的高点。我试着在下面的图片上画出它:

你们中的一些人还记得解释如何生成这些地图的图书馆甚至博客 post 吗? (我依稀记得它是 matplotlib & python,但我很可能是错的)

您是否正在考虑类似于 this? Possibly you could also do a cascade plot like this 的 3D 情节?最后一种情节的代码是这样的:

# Input parameters:
padding = 1    # Relative distance between plots
ax = gca()     # Matplotlib axes to plot in
spectra = np.random.rand((10, 100))   # Series of Y-data
x_data = np.arange(len(spectra[0]))   # X-data

# Figure out distance between plots:
max_value = 0
for spectrum in spectra:
    spectrum_yrange = (np.nanmax(spectrum) -
                       np.nanmin(spectrum))
    if spectrum_yrange > max_value:
        max_value = spectrum_yrange
# Plot the individual lines
for i, spectrum in enumerate(spectra):
    # Normalize the data to max_value
    data = (spectrum - spectrum.min()) / float(max_value)
    # Offset the individual lines
    data += i * padding
    ax.plot(x_data, data)

我认为这就是您想要的 - 在 3d 轴上绘制恒定纬度线。我已经在评论中解释了每个部分的作用

import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import itertools

#read in data from csv organised in columns labelled 'lat','lon','elevation'
data = np.recfromcsv('elevation-sample.csv', delimiter=',')

# create a 3d axis on a figure
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

# Find unique (i.e. constant) latitude points
id_list = np.unique(data['lat'])

# stride is how many lines to miss.  set to 1 to get every line
# higher to miss more
stride = 5

# Extract each line from the dataset and plot it on the axes
for id in id_list[::stride]:
    this_line_data = data[np.where(data['lat'] == id)]
    lat,lon,ele = zip(*this_line_data)
    ax.plot(lon,lat,ele, color='black')

# set the viewpoint so we're looking straight at the longitude (x) axis
ax.view_init(elev=45., azim=90)

ax.set_xlabel('Longitude')
ax.set_ylabel('Latitude')
ax.set_zlabel('Elevation')
ax.set_zlim([0,1500])

plt.show()

我用来测试的数据集不是我的,是我在github here上找到的。

输出如下:

注意 - 如果我误解了您草图中的轴标签,您可以交换纬度和经度。