底图散点图不能正确绘制

Question

基本上我有一个csv，里面充满了纬度和经度数据，我将其添加到数据框中的两个单独列中。然后用它来创建一个包含所有数据的地球仪。除了数据没有正确绘制，我不知道为什么。

读入数据文件并将其添加到csv。

data_col = ['IP', 'Reliability', 'Risk', 'Type', 'Country', 'Locale', 'Co-Ords', '?'] 
data = pd.read_csv('reputation.data', sep='#', names=data_col) 

以联合ORDS列，并将其分割到两个不同的列

data['Co-Ords'] = data['Co-Ords'].str.replace('ut: ','') 
data['lat'] = data['Co-Ords'].apply(lambda x: x.split(',')[0]) 
data['lon'] = data['Co-Ords'].apply(lambda x: x.split(',')[1]) 

实施数据底图;

m1 = Basemap(projection='ortho', lon_0=4,lat_0=46, resolution='l') 

fig=plt.figure(figsize=(12, 6)) 

m1.drawmapboundary(fill_color='black') 
m1.fillcontinents(color='white',lake_color='black') 
m1.drawcoastlines() 
m1.drawcountries() 

x=(data['lat']).as_matrix() 
y=(data['lon']).as_matrix() 

m1.scatter(x,y,cmap=cm.cool,marker="*", color='r', alpha=0.7, 
latlon=True, zorder=10) 
plt.title("IP Addresses on the Globe") 
plt.show() 

它看起来像如下： Globe

欣赏的帮助。

编辑：我是从

IP Reliability Risk Type Country Locale Co-Ords ? lat lon 
46.4.123.15 4 2 Malicious DE NaN 51.0,9.0 3 51 9 
116.117.253.243 3 2 Scanning CN Baotou 40.6521987915,109.82219696 11 40.6521987915 109.82219696 
123.59.59.89 4 2 Malicious CN Beijing 39.9289016724,116.388298035 3 39.9289016724 116.388298035 
123.59.71.2 4 2 Malicious CN Beijing 39.9289016724,116.388298035 3 39.9289016724 116.388298035 
123.59.149.74 4 2 Malicious CN Beijing 39.9289016724,116.388298035 3 39.9289016724 116.388298035 

Answer 1

您通过x, y = m1(x, y)到convert your longitude and latitude to map coordinates需要读取数据。在下面的代码，我取代了线，你的矩阵变换与这一行，我想这是更清晰：

此代码为我工作

m1 = Basemap(projection='ortho', lon_0=4,lat_0=46, resolution='l') 
fig=plt.figure(figsize=(12, 6)) 

m1.drawmapboundary(fill_color='black') 
m1.fillcontinents(color='white',lake_color='black') 
m1.drawcoastlines() 
m1.drawcountries() 

x,y = m1(data['lon'].values, data['lat'].values) 
m1.scatter(x,y, marker="*", color='r', alpha=0.7, zorder=10) 

plt.title("IP Addresses on the Globe") 
plt.show()