Fix most flake8 issues (F821 missing)

This commit is contained in:
Geir Arne Hjelle
2019-09-12 08:23:41 +02:00
committed by Joris Van den Bossche
parent 7bc3166cfe
commit f4b749d148
23 changed files with 80 additions and 88 deletions
+12 -12
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@@ -1,20 +1,20 @@
from geopandas.geoseries import GeoSeries
from geopandas.geodataframe import GeoDataFrame
from geopandas.array import _points_from_xy as points_from_xy
from geopandas.geoseries import GeoSeries # noqa
from geopandas.geodataframe import GeoDataFrame # noqa
from geopandas.array import _points_from_xy as points_from_xy # noqa
from geopandas.io.file import read_file
from geopandas.io.sql import read_postgis
from geopandas.tools import sjoin
from geopandas.tools import overlay
from geopandas.tools._show_versions import show_versions
from geopandas.io.file import read_file # noqa
from geopandas.io.sql import read_postgis # noqa
from geopandas.tools import sjoin # noqa
from geopandas.tools import overlay # noqa
from geopandas.tools._show_versions import show_versions # noqa
import geopandas.datasets
import geopandas.datasets # noqa
# make the interactive namespace easier to use
# for `from geopandas import *` demos.
import geopandas as gpd
import pandas as pd
import numpy as np
import geopandas as gpd # noqa
import pandas as pd # noqa
import numpy as np # noqa
from ._version import get_versions
+1 -1
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@@ -372,7 +372,7 @@ def _unary_geo(op, left, *args, **kwargs):
def _unary_op(op, left, null_value=False):
# type: (str, GeometryArray, Any) -> array
# type: (str, GeometryArray, Any) -> np.array
"""Unary operation that returns a Series"""
data = [getattr(geom, op, null_value) for geom in left.data]
return np.array(data, dtype=np.dtype(type(null_value)))
+6 -6
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@@ -3,12 +3,10 @@ from warnings import warn
import numpy as np
import pandas as pd
from pandas import Series, DataFrame, MultiIndex
from pandas.core.indexing import _NDFrameIndexer
from shapely.geometry.base import BaseGeometry
from shapely.geometry import box
from shapely.ops import cascaded_union, unary_union
import shapely.affinity as affinity
import geopandas as gpd
@@ -628,9 +626,11 @@ class GeoPandasBase(object):
----------
matrix: List or tuple
6 or 12 items for 2D or 3D transformations respectively.
For 2D affine transformations, the 6 parameter matrix is [a, b, d, e, xoff, yoff]
For 3D affine transformations, the 12 parameter matrix is [a, b, c, d, e, f, g, h, i, xoff, yoff, zoff]
"""
For 2D affine transformations,
the 6 parameter matrix is [a, b, d, e, xoff, yoff]
For 3D affine transformations,
the 12 parameter matrix is [a, b, c, d, e, f, g, h, i, xoff, yoff, zoff]
""" # noqa (E501 link is longer than max line length)
return _delegate_geo_method("affine_transform", self, matrix)
def translate(self, xoff=0.0, yoff=0.0, zoff=0.0):
@@ -645,7 +645,7 @@ class GeoPandasBase(object):
Amount of offset along each dimension.
xoff, yoff, and zoff for translation along the x, y, and z
dimensions respectively.
"""
""" # noqa (E501 link is longer than max line length)
return _delegate_geo_method("translate", self, xoff, yoff, zoff)
def rotate(self, angle, origin="center", use_radians=False):
+1 -1
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@@ -3,7 +3,7 @@ Script that generates the included dataset 'naturalearth_lowres.shp'.
Raw data: https://www.naturalearthdata.com/downloads/10m-cultural-vectors/10m-admin-0-countries/
Current version used: version 4.1.0
"""
""" # noqa (E501 link is longer than max line length)
import geopandas as gpd
+3 -4
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@@ -3,12 +3,11 @@ import json
import numpy as np
import pandas as pd
from pandas import DataFrame, Series
from shapely.geometry import mapping, shape, Point
from shapely.geometry.base import BaseGeometry
from shapely.geometry import mapping, shape
from six import string_types, PY3
from geopandas.array import GeometryArray, from_shapely
from geopandas.base import GeoPandasBase, _CoordinateIndexer, is_geometry_type
from geopandas.base import GeoPandasBase, is_geometry_type
from geopandas.geoseries import GeoSeries
from geopandas.plotting import plot_dataframe
import geopandas.io
@@ -156,7 +155,7 @@ class GeoDataFrame(GeoPandasBase, DataFrame):
level = frame[col].values
except KeyError:
raise ValueError("Unknown column %s" % col)
except:
except Exception:
raise
if drop:
to_remove = col
+10 -17
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@@ -9,28 +9,19 @@ from pandas import Series
from pandas.core.internals import SingleBlockManager
import pyproj
from shapely.geometry import shape, Point
from shapely.geometry.base import BaseGeometry
from shapely.ops import transform
from geopandas.plotting import plot_series
from geopandas.base import GeoPandasBase, _delegate_property, _CoordinateIndexer
from geopandas.base import GeoPandasBase, _delegate_property
from .array import GeometryArray, GeometryDtype, from_shapely
from .array import GeometryDtype, from_shapely
from .base import is_geometry_type
from ._compat import PANDAS_GE_024
_PYPROJ2 = LooseVersion(pyproj.__version__) >= LooseVersion("2.1.0")
def _is_empty(x):
try:
return x.is_empty
except:
return False
_SERIES_WARNING_MSG = """\
You are passing non-geometry data to the GeoSeries constructor. Currently,
it falls back to returning a pandas Series. But in the future, we will start
@@ -279,14 +270,15 @@ class GeoSeries(GeoPandasBase, Series):
"""
if self.is_empty.any():
warnings.warn(
"GeoSeries.isna() previously returned True for both missing (None) and "
"empty geometries. Now, it only returns True for missing values. "
"GeoSeries.isna() previously returned True for both missing (None) "
"and empty geometries. Now, it only returns True for missing values. "
"Since the calling GeoSeries contains empty geometries, the result "
"has changed compared to previous versions of GeoPandas.\n"
"Given a GeoSeries 's', you can use 's.is_empty | s.isna()' to get "
"back the old behaviour.\n\n"
"To further ignore this warning, you can do: \n"
"import warnings; warnings.filterwarnings('ignore', 'GeoSeries.isna', UserWarning)",
"import warnings; warnings.filterwarnings('ignore', 'GeoSeries.isna', "
"UserWarning)",
UserWarning,
stacklevel=2,
)
@@ -319,14 +311,15 @@ class GeoSeries(GeoPandasBase, Series):
"""
if self.is_empty.any():
warnings.warn(
"GeoSeries.notna() previously returned False for both missing (None) and "
"empty geometries. Now, it only returns False for missing values. "
"GeoSeries.notna() previously returned False for both missing (None) "
"and empty geometries. Now, it only returns False for missing values. "
"Since the calling GeoSeries contains empty geometries, the result "
"has changed compared to previous versions of GeoPandas.\n"
"Given a GeoSeries 's', you can use '~s.is_empty & s.notna()' to get "
"back the old behaviour.\n\n"
"To further ignore this warning, you can do: \n"
"import warnings; warnings.filterwarnings('ignore', 'GeoSeries.notna', UserWarning)",
"import warnings; warnings.filterwarnings('ignore', "
"'GeoSeries.notna', UserWarning)",
UserWarning,
stacklevel=2,
)
+1 -1
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@@ -35,7 +35,7 @@ def _is_url(url):
"""Check to see if *url* has a valid protocol."""
try:
return parse_url(url).scheme in _VALID_URLS
except:
except Exception:
return False
@@ -1,7 +1,5 @@
import os
import shutil
import sys
import tempfile
from enum import Enum
from shapely.geometry import (
+6 -4
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@@ -122,8 +122,9 @@ class TestIO:
geom_col = df_nybb.geometry.name
df_nybb.geometry.iat[0] = None
create_spatialite(con, df_nybb)
sql = 'SELECT ogc_fid, borocode, boroname, shape_leng, shape_area, AsEWKB("{0}") AS "{0}" FROM nybb'.format(
geom_col
sql = (
"SELECT ogc_fid, borocode, boroname, shape_leng, shape_area, "
'AsEWKB("{0}") AS "{0}" FROM nybb'.format(geom_col)
)
df = read_postgis(sql, con, geom_col=geom_col)
validate_boro_df(df)
@@ -140,8 +141,9 @@ class TestIO:
else:
geom_col = df_nybb.geometry.name
create_spatialite(con, df_nybb)
sql = 'SELECT ogc_fid, borocode, boroname, shape_leng, shape_area, ST_AsBinary("{0}") AS "{0}" FROM nybb'.format(
geom_col
sql = (
"SELECT ogc_fid, borocode, boroname, shape_leng, shape_area, "
'ST_AsBinary("{0}") AS "{0}" FROM nybb'.format(geom_col)
)
df = read_postgis(sql, con, geom_col=geom_col)
validate_boro_df(df)
-1
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@@ -449,7 +449,6 @@ def plot_dataframe(
)
column = None
import matplotlib
import matplotlib.pyplot as plt
if ax is None:
+1 -1
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@@ -5,7 +5,7 @@ Testing functionality for geopandas objects.
import pandas as pd
from geopandas import GeoSeries, GeoDataFrame
from geopandas.array import GeometryDtype, GeometryArray
from geopandas.array import GeometryDtype
def _isna(this):
+2 -2
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@@ -26,8 +26,8 @@ def nybb_polydf():
@pytest.fixture
def merged_shapes(nybb_polydf):
# Merged geometry
manhattan_bronx = nybb_polydf.loc[3:4,]
others = nybb_polydf.loc[0:2,]
manhattan_bronx = nybb_polydf.loc[3:4]
others = nybb_polydf.loc[0:2]
collapsed = [others.geometry.unary_union, manhattan_bronx.geometry.unary_union]
merged_shapes = GeoDataFrame(
+7 -8
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@@ -23,14 +23,6 @@ from geopandas._compat import PANDAS_GE_024
import pytest
not_yet_implemented = pytest.mark.skip(reason="Not yet implemented")
no_sorting = pytest.mark.skip(reason="Sorting not supported")
skip_pandas_below_024 = pytest.mark.skipif(
not PANDAS_GE_024, reason="Sorting not supported"
)
# -----------------------------------------------------------------------------
# Compat with extension tests in older pandas versions
# -----------------------------------------------------------------------------
@@ -48,6 +40,13 @@ if not PANDAS_GE_024:
extension_tests.BaseParsingTests = object
not_yet_implemented = pytest.mark.skip(reason="Not yet implemented")
no_sorting = pytest.mark.skip(reason="Sorting not supported")
skip_pandas_below_024 = pytest.mark.skipif(
not PANDAS_GE_024, reason="Sorting not supported"
)
# -----------------------------------------------------------------------------
# Required fixtures
# -----------------------------------------------------------------------------
+1 -5
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@@ -7,7 +7,7 @@ import shutil
import numpy as np
import pandas as pd
from shapely.geometry import Point, Polygon
from shapely.geometry import Point
import fiona
import geopandas
@@ -24,9 +24,6 @@ from geopandas.testing import assert_geoseries_equal, assert_geodataframe_equal
from geopandas.tests.util import connect, create_postgis, PACKAGE_DIR, validate_boro_df
import pytest
class TestDataFrame:
def setup_method(self):
N = 10
@@ -207,7 +204,6 @@ class TestDataFrame:
df.geometry = df
def test_rename_geometry(self):
column_name = self.df.geometry.name
assert self.df.geometry.name == "geometry"
df2 = self.df.rename_geometry("new_name")
assert df2.geometry.name == "new_name"
+1 -1
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@@ -140,7 +140,7 @@ class TestSeries:
Test whether GeoSeries.to_json works and returns an actual json file.
"""
json_str = self.g3.to_json()
json_dict = json.loads(json_str)
json.loads(json_str)
# TODO : verify the output is a valid GeoJSON.
def test_representative_point(self):
+1 -1
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@@ -32,7 +32,7 @@ class TestMerging:
# check metadata
self._check_metadata(res)
## test that crs and other geometry name are preserved
# test that crs and other geometry name are preserved
self.gdf.crs = {"init": "epsg:4326"}
self.gdf = self.gdf.rename(columns={"geometry": "points"}).set_geometry(
"points"
+1 -1
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@@ -7,7 +7,7 @@ from six import PY3, PY2
import numpy as np
import pandas as pd
import shapely
from shapely.geometry import Point, Polygon
from shapely.geometry import Point
from geopandas import GeoDataFrame, GeoSeries
from geopandas.array import from_shapely
+3 -3
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@@ -15,7 +15,7 @@ import pytest
matplotlib = pytest.importorskip("matplotlib")
matplotlib.use("Agg")
import matplotlib.pyplot as plt
import matplotlib.pyplot as plt # noqa
@pytest.fixture(autouse=True)
@@ -428,10 +428,10 @@ class TestMapclassifyPlotting:
@classmethod
def setup_class(cls):
try:
import mapclassify
import mapclassify # noqa
except ImportError:
try:
import pysal
import pysal # noqa
except ImportError:
pytest.importorskip("mapclassify")
pth = get_path("naturalearth_lowres")
-2
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@@ -1,7 +1,5 @@
from __future__ import absolute_import
import warnings
from pandas import Series, DataFrame
from shapely.geometry import Point
+8 -6
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@@ -1,13 +1,12 @@
import os.path
import sys
import sqlite3
from geopandas import GeoDataFrame
from geopandas.testing import (
from geopandas.testing import ( # noqa
geom_equals,
geom_almost_equals,
assert_geoseries_equal,
) # flake8: noqa
)
from pandas import Series
HERE = os.path.abspath(os.path.dirname(__file__))
@@ -25,9 +24,9 @@ except ImportError:
# mock not used here, but the import from here is used in other modules
try:
import unittest.mock as mock
import unittest.mock as mock # noqa
except ImportError:
import mock
import mock # noqa
def validate_boro_df(df, case_sensitive=False):
@@ -78,7 +77,10 @@ def connect_spatialite():
"""
Return a memory-based SQLite3 connection with SpatiaLite enabled & initialized.
`The sqlite3 module must be built with loadable extension support <https://docs.python.org/3/library/sqlite3.html#f1>`_ and `SpatiaLite <https://www.gaia-gis.it/fossil/libspatialite/index>`_ must be available on the system as a SQLite module.
`The sqlite3 module must be built with loadable extension support
<https://docs.python.org/3/library/sqlite3.html#f1>`_ and
`SpatiaLite <https://www.gaia-gis.it/fossil/libspatialite/index>`_
must be available on the system as a SQLite module.
Packages available on Anaconda meet requirements.
Exceptions
+8 -1
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@@ -6,4 +6,11 @@ from .sjoin import sjoin
from .util import collect
from .crs import explicit_crs_from_epsg
__all__ = ["overlay", "sjoin", "geocode", "reverse_geocode", "collect"]
__all__ = [
"collect",
"explicit_crs_from_epsg",
"geocode",
"overlay",
"reverse_geocode",
"sjoin",
]
+2 -1
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@@ -19,7 +19,8 @@ def explicit_crs_from_epsg(crs=None, epsg=None):
epsg = epsg_from_crs(crs)
if epsg is None:
raise ValueError(
"No epsg code provided or epsg code could not be identified from the provided crs."
"No epsg code provided or epsg code could not be identified "
"from the provided crs."
)
_crs = re.search(r"\n<{}>\s*(.+?)\s*<>".format(epsg), get_epsg_file_contents())
+5 -7
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@@ -1,7 +1,5 @@
from __future__ import absolute_import
from distutils.version import LooseVersion
import numpy as np
import pandas as pd
from shapely.geometry import Point, Polygon
@@ -15,7 +13,7 @@ from pandas.util.testing import assert_frame_equal
pandas_0_18_problem = (
"fails under pandas < 0.19 due to pandas issue 15692," "not problem with sjoin."
"fails under pandas < 0.19 due to pandas issue 15692, not problem with sjoin."
)
@@ -144,10 +142,10 @@ class TestSpatialJoin:
index, df1, df2, expected = dfs
with pytest.raises(ValueError, match="'left_df' should be GeoDataFrame"):
res = sjoin(df1.geometry, df2)
sjoin(df1.geometry, df2)
with pytest.raises(ValueError, match="'right_df' should be GeoDataFrame"):
res = sjoin(df1, df2.geometry)
sjoin(df1, df2.geometry)
@pytest.mark.parametrize("dfs", ["default-index", "string-index"], indirect=True)
@pytest.mark.parametrize("op", ["intersects", "contains", "within"])
@@ -247,9 +245,9 @@ class TestSpatialJoinNYBB:
# original index names should be unchanged
pointdf2 = self.pointdf.copy()
pointdf2.index.name = "pointid"
df = sjoin(pointdf2, self.polydf, how=how)
sjoin(pointdf2, self.polydf, how=how)
assert pointdf2.index.name == "pointid"
assert self.polydf.index.name == None
assert self.polydf.index.name is None
def test_sjoin_values(self):
# GH190