Cartopy: Can't add features to geo axes (no errors or warnings)

Cartopy: Can't add features to geo axes (no errors or warnings)

By : user2950498
Date : November 17 2020, 11:55 AM
hope this fix your issue I wasn't getting this error previously, but when I ran the code from an IPython notebook for some reason I got this error HTTPError: HTTP Error 404: Not Found
What I ended up having to do was change line 264 in shapereader.py from:
code :
 _NE_URL_TEMPLATE = ('http://www.nacis.org/naturalearth/{resolution}'
_NE_URL_TEMPLATE = ('http://www.naturalearthdata.com/'

Share : facebook icon twitter icon
Drawing lines between cartopy axes

Drawing lines between cartopy axes

By : E Dgz
Date : March 29 2020, 07:55 AM
may help you . Not easily AFAIK, as you essentially want to define one point in one CS and the other in another (BlendedGenericTransform allows you to define your xs in one CS and ys in another, but not individual points).
As a result, the only solution I know of is to construct a transform which expects a certain number of points to transform. I've implemented a 2 point transformation class which transforms the first point given the first transform, and the second point with the other transform:
code :
import matplotlib.transform as mtrans

class TwoPointTransformer(mtrans.Transform):
    is_affine = False
    has_inverse = False

    def __init__(self, first_point_transform, second_point_transform):
        self.first_point_transform = first_point_transform
        self.second_point_transform = second_point_transform
        return mtrans.Transform.__init__(self)

    def transform_non_affine(self, values):
        if values.shape != (2, 2):
            raise ValueError('The TwoPointTransformer can only handle '
                             'vectors of 2 points.')
        result = self.first_point_transform.transform_affine(values)
        second_values = self.second_point_transform.transform_affine(values)
        result[1, :] = second_values[1, :]
        return result
line = plt.Line2D(xdata=(-45, 0), ydata=(-15, 0),
                  transform=TwoPointTransformer(ax1.transData, ax2.transAxes))
fig.canvas.mpl_connect('resize_event', lambda v: line.recache())
Cartopy subplot ticks & axes box line formatting

Cartopy subplot ticks & axes box line formatting

By : user2401560
Date : March 29 2020, 07:55 AM
Hope that helps Unfortunately, I don't think there is any control provided for either of these.
Regarding rotated ticks: With some care you can add axis ticks, and rotate those with usual "axes.set_ticklabels(... rotation=X)". But the gridline labels are not ticks, and you can't do this -- you can only control the position and formatting (via the exposed ticker and formatter objects).
Polar plot axes labels for Cartopy

Polar plot axes labels for Cartopy

By : May
Date : March 29 2020, 07:55 AM
I wish this helpful for you No, unfortunately there is no support for this at present. Only the simplest and commonest forms have so far been coded, because the general case is just hard. For example, specifically regarding polar plots .. (1) in some places gridlines converge so it may be necessary to label only certain ones, and (2) some gridlines (e.g. meridians) can be entirely inside the plot area.
As of now, this is really just waiting for someone to take it on.
Correct placement of colorbar relative to geo axes (cartopy)

Correct placement of colorbar relative to geo axes (cartopy)

By : jaysee
Date : March 29 2020, 07:55 AM
I wish did fix the issue. Great question! for the code, and pictures, it makes the problem a lot easier to understand as well as making it easier to quickly iterate on possible solutions.
The problem here is essentially a matplotlib one. Cartopy calls ax.set_aspect('equal') as this is part of the the Cartesian units of a projection's definition.
code :
def resize_colobar(event):
    # Tell matplotlib to re-draw everything, so that we can get
    # the correct location from get_position.

    posn = ax.get_position()
    colorbar_ax.set_position([posn.x0 + posn.width + 0.01, posn.y0,
                             0.04, axpos.height])

fig.canvas.mpl_connect('resize_event', resize_colobar)
import cartopy.crs as ccrs
import matplotlib.pyplot as plt
import os
from netCDF4 import Dataset as netcdf_dataset
from cartopy import config

fname = os.path.join(config["repo_data_dir"],
                 'netcdf', 'HadISST1_SST_update.nc'
dataset = netcdf_dataset(fname)
sst = dataset.variables['sst'][0, :, :]
lats = dataset.variables['lat'][:]
lons = dataset.variables['lon'][:]

fig, ax = plt.subplots(1, 1, figsize=(10,5),
                       subplot_kw={'projection': ccrs.PlateCarree()})

# Add the colorbar axes anywhere in the figure. Its position will be
# re-calculated at each figure resize. 
cbar_ax = fig.add_axes([0, 0, 0.1, 0.1])

fig.subplots_adjust(hspace=0, wspace=0, top=0.925, left=0.1)

sst_contour = ax.contourf(lons, lats, sst, 60, transform=ccrs.PlateCarree())

def resize_colobar(event):

    posn = ax.get_position()
    cbar_ax.set_position([posn.x0 + posn.width + 0.01, posn.y0,
                          0.04, posn.height])

fig.canvas.mpl_connect('resize_event', resize_colobar)


plt.colorbar(sst_contour, cax=cbar_ax)

ax.set_extent([-20, 60, 33, 63])

Cartopy coastlines hidden by inset_axes use of Axes.pie

Cartopy coastlines hidden by inset_axes use of Axes.pie

By : Krishna Sandeep
Date : March 29 2020, 07:55 AM
To fix this issue The problem is that each axes either lies on top or below another axes. So changing the zorder of artists within axes, does not help here. In principle, one could set the zorder of the axes themselves, putting the inset axes behind the main axes.
code :
import cartopy.crs as ccrs
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1.inset_locator import inset_axes

def plot_pie_inset(dataframe_pie,ilat_pie,ilon_pie,axis_main,width_local,alpha_local):
    ax_sub= inset_axes(axis_main, width=width_local, height=width_local, loc=3, 
                       bbox_to_anchor=(ilat_pie, ilon_pie),
    wedges,texts= ax_sub.pie(dataframe_pie,colors=colors_dual)
    for w in wedges:
    # Put insets behind main axes

lat_list= np.arange(0.2,0.7,0.05)

fig= plt.figure()
ax_main= plt.subplot(1,1,1,projection=ccrs.PlateCarree())

# set background patch invisible, such that axes becomes transparent
# since the GeoAxes from cartopy uses a different patch as background
# the following does not work
# ax_main.patch.set_visible(False)
# so we need to set the GeoAxes' background_patch invisible

for ilat in np.arange(len(lat_list)):

Related Posts Related Posts :
  • Remove commas in a string, surrounded by a comma and double quotes / Python
  • How to chain Django querysets preserving individual order
  • Comparison with Python
  • How to find backlinks in a website with python
  • Return new instance of subclass when using methods inherited from parent class in Python
  • Which function in django.contrib.auth creates the default model permissions?
  • Formatting text in tabular form with Python
  • How to determine the first day of a month in Python
  • Error while converting date to timestamp in python
  • Python string iterations
  • Is there any file number limitation when you select multiple files with wxFileDialog?
  • Errors with Matplotlib when making an executable with Py2exe (Python)
  • Django Haystack - Indexing single field
  • Go Pro Hero 3 - Streaming video over wifi
  • Appending a column in .csv with Python/Pandas
  • How to change my result directory in Robot framework using RIDE?
  • problem with using pandas to manipulate a big text file in python
  • python-magic module' object has no attribute 'open'
  • Where goes wrong for this High Pass Filter in Python?
  • Why inserting keys in order into a python dict is faster than doint it unordered
  • flann index saving in python
  • Create new instance of list or dictionary without class
  • How can I easily convert FORTRAN code to Python code (real code, not wrappers)
  • Address of lambda function in python
  • Python adding space between characters in string. Most efficient way
  • python http server, multiple simultaneous requests
  • Disguising username & password on distributed python scripts
  • Post GraphQL mutation with Python Requests
  • Why doesnt pandas create an excel file?
  • Rolling comparison between a value and a past window, with percentile/quantile
  • How to avoid repetitive code when defining a new type in python with signature verification
  • How to configure uWSGI in order to debug with pdb (--honour-stdin configuration issue)
  • In Python, how do you execute objects that are functions from a list?
  • Python- Variable Won't Subtract?
  • Processing Power In Python
  • Python 2.7.2 - Cannot import name _random or random from sys
  • Why doesn't the Python sorted function take keyword order instead of reverse?
  • Make a function redirect to other functions depending on a variable
  • get_absolute_url in django-categories
  • Monitoring non-Celery background task with New Relic in Python
  • Feature selection with LinearSVC
  • LSTM - Predicting the same constant values after a while
  • Test the length of elements in a list
  • Django: render radiobutton with 3 columns, cost column must change according to size & quantity selected
  • Python class attributes vs global variable
  • sys.stdout.writelines("hello") and sys.stdout.write("hello")
  • is ndarray faster than recarray access?
  • Python - search through directory trees, rename certain files
  • GAE: How to build a query where a string begins with a value
  • TypeError: __init__() takes at least 2 arguments (1 given)
  • Overriding and customizing "django.contrib.auth.views.login"
  • Django : Redirect to a particular page after login
  • Python search and copy files in directory
  • pretty printing numpy ndarrays using unicode characters
  • Frequent pattern mining in Python
  • How can I make a set of functions that can be used synchronously as well as asynchronously?
  • Convert one dice roll to two dice roll
  • count occourrence in a list
  • Writing an If condition to filter out the first word
  • to read file and compare column in python
  • shadow
    Privacy Policy - Terms - Contact Us © ourworld-yourmove.org