Fix references to examples after moving them to doc folder

Author: molinav

README.md

@@ -74,7 +74,7 @@ is provided under the terms of the [LGPL-2.1-only] license as given in
 
 See https://matplotlib.org/basemap/.
 
-See scripts in `examples` directory for example usage.
+See scripts in the `doc/examples` directory for example usage.
 
 Read the FAQ and/or email the matplotlib-users mailing list if you have
 problems or questions.

doc/source/users/examples.rst

@@ -3,9 +3,9 @@
 Plotting data on a map (Example Gallery)
 ========================================
 
-Following are a series of examples that illustrate how to use
-Basemap instance methods to plot your data on a map.  More examples
-are included in the examples directory of the basemap source distribution.
+Following are a series of examples that illustrate how to use Basemap
+instance methods to plot your data on a map.  More examples are included
+in the doc/examples directory of the basemap source distribution.
 There are a number of Basemap instance methods for plotting data:
 
 * :func:`~mpl_toolkits.basemap.Basemap.contour`: draw contour lines.

doc/source/users/figures/hurrtracks.py

@@ -12,7 +12,7 @@
             projection='lcc',lat_1=20.,lat_2=40.,lon_0=-60.,
             resolution ='l',area_thresh=1000.)
 # read shapefile.
-shp_path = os.path.join(*6 * [".."] + ["examples", "huralll020"])
+shp_path = os.path.join(*3 * [".."] + ["examples", "huralll020"])
 shp_info = m.readshapefile(shp_path,'hurrtracks',drawbounds=False)
 # find names of storms that reached Cat 4.
 names = []

doc/source/users/figures/plotprecip.py

@@ -8,7 +8,7 @@
 # plot rainfall from NWS using special precipitation
 # colormap used by the NWS, and included in basemap.
 
-ncpath = os.path.join(*6 * [".."] + ["examples", "nws_precip_conus_20061222.nc"])
+ncpath = os.path.join(*3 * [".."] + ["examples", "nws_precip_conus_20061222.nc"])
 nc = NetCDFFile(ncpath)
 # data from http://water.weather.gov/precip/
 prcpvar = nc.variables['amountofprecip']

src/mpl_toolkits/basemap/__init__.py

@@ -3570,7 +3570,7 @@ def contour(self,x,y,data,*args,**kwargs):
                             "region to be consistent with your data, or (if your",
                             "data is on a global lat/lon grid) use the shiftdata",
                             "method to adjust the data to be consistent with the",
-                            "map projection region (see examples/shiftdata.py)"]))
+                            "map projection region (see doc/examples/shiftdata.py)"]))
                 # mask for points more than one grid length outside projection limb.
                 xx = ma.masked_where(x > 1.e20, x)
                 yy = ma.masked_where(y > 1.e20, y)
@@ -3667,7 +3667,7 @@ def contourf(self,x,y,data,*args,**kwargs):
                             "region to be consistent with your data, or (if your",
                             "data is on a global lat/lon grid) use the shiftgrid",
                             "function to adjust the data to be consistent with the",
-                            "map projection region (see examples/contour_demo.py)"]))
+                            "map projection region (see doc/examples/contour_demo.py)"]))
                 # mask for points more than one grid length outside projection limb.
                 xx = ma.masked_where(x > 1.e20, x)
                 yy = ma.masked_where(y > 1.e20, y)

src/mpl_toolkits/basemap/cm.py

@@ -11,7 +11,7 @@
 * A sea surface temperature anomaly colormap: sstanom.
 * A stepped-sequential scheme: StepSeq.
 
-Run `examples/show_colormaps.py` to see what these colormaps look like.
+Run `doc/examples/show_colormaps.py` to see what these colormaps look like.
 """
 
 from matplotlib import rcParams