repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
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plotnine | plotnine-main/tests/test_geom_violin.py | import numpy as np
import pandas as pd
import pytest
from plotnine import aes, coord_flip, facet_grid, geom_violin, ggplot
from plotnine.data import mtcars
n = 4
m = 10
df = pd.DataFrame(
{
"x": np.repeat([chr(65 + i) for i in range(n)], m),
"y": (
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
... | 3,889 | 27.814815 | 79 | py |
plotnine | plotnine-main/tests/test_geom_bin_2d.py | import numpy as np
import pandas as pd
from plotnine import aes, geom_bin_2d, ggplot, scale_x_log10
from .conftest import layer_data
n = 20 # Make even for best results
reps = np.hstack(
[np.arange(int(np.ceil(n / 2))), np.arange(int(np.ceil(n // 2)))[::-1]]
)
diagonal = np.repeat(np.arange(n), reps)
df = pd.D... | 1,080 | 25.365854 | 75 | py |
plotnine | plotnine-main/tests/test_qplot.py | import numpy as np
import pandas as pd
import pytest
from plotnine import qplot
from plotnine.exceptions import PlotnineWarning
def test_scalars():
p = qplot(x=2, y=3)
assert p == "scalars"
def test_arrays():
p = qplot(x=np.arange(5), y=np.arange(5))
assert p == "arrays"
def test_string_arrays():... | 1,581 | 19.282051 | 69 | py |
plotnine | plotnine-main/tests/test_geom_point.py | import string
import numpy as np
import pandas as pd
from plotnine import (
aes,
coord_equal,
geom_point,
ggplot,
guides,
lims,
scale_color_identity,
scale_shape_manual,
)
def test_aesthetics():
df = pd.DataFrame(
{
"a": range(5),
"b": 2,
... | 3,609 | 23.391892 | 79 | py |
plotnine | plotnine-main/tests/test_annotation_stripes.py | import numpy as np
import pandas as pd
import pytest
from plotnine import (
aes,
annotation_stripes,
coord_flip,
facet_wrap,
geom_point,
geom_vline,
ggplot,
)
n = 9
df = pd.DataFrame({"x": np.arange(n) % 3 + 1, "y": range(n)})
def test_annotation_stripes():
p = (
ggplot(df)
... | 2,884 | 22.08 | 61 | py |
plotnine | plotnine-main/tests/test_geom_vline.py | import pandas as pd
import pytest
from plotnine import aes, geom_point, geom_vline, ggplot
from plotnine.exceptions import PlotnineError, PlotnineWarning
df = pd.DataFrame(
{"xintercept": [1, 2], "x": [0.5, 3], "y": [-1, 1], "z": range(2)}
)
def test_aesthetics():
p = (
ggplot(df)
+ geom_poi... | 1,134 | 25.395349 | 73 | py |
plotnine | plotnine-main/tests/test_theme.py | import os
import pytest
from plotnine import (
aes,
element_blank,
element_line,
element_text,
facet_grid,
facet_wrap,
geom_point,
ggplot,
labs,
theme,
theme_538,
theme_bw,
theme_classic,
theme_dark,
theme_gray,
theme_light,
theme_linedraw,
theme... | 7,629 | 27.901515 | 79 | py |
plotnine | plotnine-main/tests/test_geom_blank.py | from plotnine import aes, geom_blank, ggplot
from plotnine.data import mtcars
def test_blank():
gg = ggplot(mtcars, aes(x="wt", y="mpg"))
gg = gg + geom_blank()
assert gg == "blank"
| 196 | 20.888889 | 45 | py |
plotnine | plotnine-main/tests/test_stat_hull.py | from plotnine import aes, geom_point, ggplot, stat_hull
from plotnine.data import mtcars
def test_hull():
p = (
ggplot(mtcars)
+ aes("wt", "mpg", color="factor(cyl)")
+ geom_point()
+ stat_hull(size=1)
)
assert p == "hull"
| 270 | 18.357143 | 55 | py |
plotnine | plotnine-main/tests/test_geom_pointdensity.py | import numpy as np
import pandas as pd
from plotnine import (
aes,
after_stat,
geom_point,
geom_pointdensity,
ggplot,
scale_size_radius,
)
n = 16 # Some even number > 2
df = pd.DataFrame({"x": range(n), "y": np.repeat(range(n // 2), 2)})
p0 = ggplot(df, aes("x", "y"))
def test_pointdensit... | 648 | 17.027778 | 72 | py |
plotnine | plotnine-main/tests/test_geom_bar_col_histogram.py | import numpy as np
import pandas as pd
from plotnine import (
aes,
after_stat,
geom_bar,
geom_col,
geom_histogram,
geom_text,
ggplot,
scale_x_sqrt,
)
from plotnine.stats.binning import freedman_diaconis_bins
from .conftest import layer_data
n = 10 # Some even number greater than 2
#... | 2,155 | 22.692308 | 77 | py |
plotnine | plotnine-main/tests/test_facets.py | import numpy as np
import pandas as pd
from plotnine import (
aes,
annotate,
facet_grid,
facet_wrap,
geom_abline,
geom_path,
geom_point,
ggplot,
)
from plotnine.data import mpg, mtcars
n = 10
df = pd.DataFrame(
{
"x": range(n),
"y": range(n),
"var1": np.repe... | 4,673 | 23.34375 | 78 | py |
plotnine | plotnine-main/tests/test_geom_ribbon_area.py | import numpy as np
import pandas as pd
from plotnine import (
aes,
after_stat,
coord_flip,
facet_wrap,
geom_area,
geom_line,
geom_ribbon,
ggplot,
scale_x_continuous,
)
n = 4 # No. of ribbions in a vertical stack
m = 100 # Points
width = 2 * np.pi # width of each ribbon
x = np.li... | 4,123 | 24.45679 | 76 | py |
plotnine | plotnine-main/tests/test_geom_spoke.py | import numpy as np
import pandas as pd
from plotnine import aes, geom_spoke, ggplot
n = 4
df = pd.DataFrame(
{
"x": [1] * n,
"y": range(n),
"angle": np.linspace(0, np.pi / 2, n),
"radius": range(1, n + 1),
"z": range(n),
}
)
def test_aesthetics():
p = (
gg... | 857 | 22.833333 | 76 | py |
plotnine | plotnine-main/tests/test_stat_calculate_methods.py | import numpy as np
import pandas as pd
import pytest
from plotnine import aes, ggplot, stat_bin, stat_density, xlim
from plotnine.exceptions import PlotnineError, PlotnineWarning
def test_stat_bin():
x = [1, 2, 3]
y = [1, 2, 3]
df = pd.DataFrame({"x": x, "y": y})
# About the default bins
gg = gg... | 999 | 25.315789 | 72 | py |
plotnine | plotnine-main/tests/test_ggplot_internals.py | from copy import deepcopy
import numpy as np
import pandas as pd
import pytest
from plotnine import (
aes,
after_scale,
after_stat,
annotate,
coord_trans,
facet_null,
geom_bar,
geom_histogram,
geom_line,
geom_point,
ggplot,
ggtitle,
guides,
labs,
lims,
s... | 9,860 | 24.746736 | 76 | py |
plotnine | plotnine-main/tests/test_geom_sina.py | import numpy as np
import pandas as pd
import pytest
from plotnine import aes, coord_flip, geom_sina, geom_violin, ggplot
n = 50
random_state = np.random.RandomState(123)
uni = random_state.normal(5, 0.25, n)
bi = np.hstack(
[random_state.normal(4, 0.25, n), random_state.normal(6, 0.25, n)]
)
tri = np.hstack(
... | 1,672 | 21.013158 | 75 | py |
plotnine | plotnine-main/tests/test_scale_labelling.py | import pandas as pd
from plotnine import (
aes,
element_text,
facet_grid,
geom_point,
ggplot,
labs,
theme,
)
from plotnine.data import mtcars
c1 = "This is a sample caption"
c2 = """\
Lorem Ipsum is simply dummy text of the printing and typesetting industry.
Lorem Ipsum has been the indust... | 1,136 | 21.294118 | 77 | py |
plotnine | plotnine-main/tests/test_save_as_pdf_pages.py | import warnings
from pathlib import Path
import matplotlib.pyplot as plt
import pytest
from plotnine import aes, geom_text, ggplot, ggtitle, theme
from plotnine.data import mtcars
from plotnine.exceptions import PlotnineError, PlotnineWarning
from plotnine.ggplot import save_as_pdf_pages
def p(N=3):
"""Return *... | 3,271 | 29.867925 | 79 | py |
plotnine | plotnine-main/tests/test_lint_and_format.py | import os
import subprocess
from pathlib import Path
import pytest
# Helps contributors catch linter errors
# when they run make test.
is_CI = os.environ.get("CI") is not None
@pytest.mark.skipif(is_CI, reason="Helps contributors catch linter errors")
def test_ruff():
plotnine_dir = str(Path(__file__).parent.p... | 1,229 | 27.604651 | 75 | py |
plotnine | plotnine-main/tests/test_annotation_logticks.py | import numpy as np
import pandas as pd
import pytest
from mizani.transforms import log_format, log_trans
from plotnine import (
aes,
annotation_logticks,
coord_flip,
element_line,
facet_wrap,
geom_point,
ggplot,
scale_x_continuous,
scale_x_log10,
scale_y_log10,
theme,
)
from... | 6,403 | 26.367521 | 74 | py |
plotnine | plotnine-main/tests/test_stat_ecdf.py | import pandas as pd
from plotnine import aes, after_stat, ggplot, stat_ecdf
df = pd.DataFrame({"x": range(10)})
p = ggplot(df, aes("x")) + stat_ecdf(size=2)
def test_ecdf():
p = ggplot(df, aes("x")) + stat_ecdf(size=2)
assert p == "ecdf"
def test_computed_y_column():
p = (
ggplot(df, aes("x")... | 566 | 22.625 | 69 | py |
plotnine | plotnine-main/tests/test_geom_map.py | import numpy as np
from geopandas import GeoDataFrame
from shapely.geometry import (
LineString,
MultiLineString,
MultiPoint,
MultiPolygon,
Point,
Polygon,
)
from plotnine import aes, facet_wrap, geom_map, ggplot, labs, theme
def test_geometries():
# Points
points = [Point(0, 0), Poin... | 3,507 | 26.622047 | 79 | py |
plotnine | plotnine-main/tests/test_annotate.py | import pandas as pd
import pytest
from plotnine import aes, annotate, geom_point, geom_rect, geom_segment, ggplot
from plotnine.exceptions import PlotnineError
n = 4
df = pd.DataFrame({"x": range(n), "y": range(n)})
def test_multiple_annotation_geoms():
p = (
ggplot(df, aes("x", "y"))
+ geom_poi... | 1,167 | 22.836735 | 79 | py |
plotnine | plotnine-main/tests/test_geom_crossbar.py | import pandas as pd
from plotnine import aes, geom_crossbar, ggplot
n = 4
df = pd.DataFrame(
{
"x": [1] * n,
"ymin": range(1, 2 * n + 1, 2),
"y": [i + 0.1 + i / 10 for i in range(1, 2 * n + 1, 2)],
"ymax": range(2, 2 * n + 2, 2),
"z": range(n),
}
)
def test_aesthetics... | 724 | 24.892857 | 79 | py |
plotnine | plotnine-main/tests/test_geom_qq_qq_line.py | import numpy as np
import pandas as pd
from plotnine import aes, geom_qq, geom_qq_line, ggplot
random_state = np.random.RandomState(1234567890)
df_normal = pd.DataFrame({"x": random_state.normal(size=100)})
def test_normal():
p = ggplot(df_normal, aes(sample="x")) + geom_qq()
# Roughly a straight line of po... | 566 | 27.35 | 71 | py |
plotnine | plotnine-main/tests/test_scale_internals.py | import warnings
from datetime import datetime
import numpy as np
import numpy.testing as npt
import pandas as pd
import pytest
from plotnine import (
aes,
annotate,
element_text,
expand_limits,
facet_wrap,
geom_bar,
geom_col,
geom_point,
ggplot,
lims,
theme,
)
from plotnine... | 22,129 | 25.856796 | 77 | py |
plotnine | plotnine-main/tests/test_stat_function.py | import numpy as np
import pandas as pd
import pytest
from plotnine import aes, arrow, ggplot, stat_function
from plotnine.exceptions import PlotnineError
n = 10
df = pd.DataFrame({"x": range(1, n + 1)})
def test_limits():
p = (
ggplot(df, aes("x"))
+ stat_function(
fun=np.cos, size=2... | 1,402 | 22.779661 | 76 | py |
plotnine | plotnine-main/tests/test_geom_abline.py | import pandas as pd
import pytest
from plotnine import aes, geom_abline, geom_point, ggplot
from plotnine.exceptions import PlotnineWarning
df = pd.DataFrame(
{
"slope": [1, 1],
"intercept": [1, -1],
"x": [-1, 1],
"y": [-1, 1],
"z": range(2),
}
)
def test_aesthetics()... | 1,498 | 22.793651 | 79 | py |
plotnine | plotnine-main/tests/test_aes.py | import pandas as pd
from plotnine import aes, geom_col, ggplot
df = pd.DataFrame(
{
"x": pd.Categorical(["b", "d", "c", "a"], ordered=True),
"y": [1, 2, 3, 4],
}
)
def test_reorder():
p = (
ggplot(df, aes("reorder(x, y)", "y", fill="reorder(x, y)"))
+ geom_col()
)
... | 884 | 22.289474 | 67 | py |
plotnine | plotnine-main/tests/test_geom.py | import pandas as pd
import pytest
from plotnine import aes, geom_point, ggplot, stat_identity
from plotnine.exceptions import PlotnineError
from plotnine.geoms.geom import geom
df = pd.DataFrame({"col1": [1, 2, 3, 4], "col2": 2, "col3": list("abcd")})
def test_geom_basics():
class geom_abc(geom):
DEFAUL... | 1,776 | 26.765625 | 74 | py |
plotnine | plotnine-main/tests/test_coords.py | import numpy as np
import pandas as pd
import pytest
from mizani.transforms import trans_new
from plotnine import (
aes,
coord_fixed,
coord_flip,
coord_trans,
geom_bar,
geom_line,
ggplot,
xlim,
)
n = 10 # Some even number greater than 2
# ladder: 0 1 times, 1 2 times, 2 3 times, ...
... | 1,531 | 22.569231 | 77 | py |
plotnine | plotnine-main/tests/test_watermark.py | from pathlib import Path
import pandas as pd
from plotnine import aes, geom_point, ggplot, watermark
wm_file = Path(__file__).parent / "images/plotnine-watermark.png"
def test_watermark():
df = pd.DataFrame({"x": [1, 2, 3], "y": [1, 2, 3]})
p = (
ggplot(df)
+ geom_point(aes("x", "y"))
... | 434 | 19.714286 | 65 | py |
plotnine | plotnine-main/tests/test_utils.py | import itertools
import random
import string
import warnings
import numpy as np
import pandas as pd
from plotnine.data import mtcars
from plotnine.utils import (
_margins,
add_margins,
join_keys,
match,
ninteraction,
pivot_apply,
remove_missing,
uniquecols,
)
def test__margins():
... | 6,449 | 25.763485 | 73 | py |
plotnine | plotnine-main/tests/test_geom_freqpoly.py | import numpy as np
import pandas as pd
from plotnine import (
aes,
geom_freqpoly,
geom_histogram,
geom_point,
ggplot,
)
n = 10 # Some even number greater than 2
# ladder: 0 1 times, 1 2 times, 2 3 times, ...
df = pd.DataFrame(
{
"x": np.repeat(range(n + 1), range(n + 1)),
"z"... | 652 | 19.40625 | 71 | py |
plotnine | plotnine-main/plotnine/doctools.py | from __future__ import annotations
import re
import typing
from functools import lru_cache
from textwrap import dedent, indent, wrap
import numpy as np
if typing.TYPE_CHECKING:
from typing import Any, Type, TypeVar
from plotnine.typing import Geom, Scale, Stat
T = TypeVar("T")
# Parameter arguments t... | 16,232 | 26.467005 | 79 | py |
plotnine | plotnine-main/plotnine/iapi.py | """
Internal API
Specifications for containers that will hold different kinds
of objects with data created when the plot is being built.
"""
from __future__ import annotations
import typing
from copy import copy
from dataclasses import dataclass, fields
if typing.TYPE_CHECKING:
from typing import Any, Dict, Iter... | 5,738 | 20.90458 | 77 | py |
plotnine | plotnine-main/plotnine/layer.py | from __future__ import annotations
import typing
from copy import copy, deepcopy
from typing import Iterable, List, overload
import pandas as pd
from .exceptions import PlotnineError
from .mapping.aes import NO_GROUP, SCALED_AESTHETICS, aes
from .mapping.evaluation import evaluate, stage
from .utils import array_kin... | 16,379 | 28.40754 | 78 | py |
plotnine | plotnine-main/plotnine/labels.py | from __future__ import annotations
import typing
from .exceptions import PlotnineError
from .iapi import labels_view
from .mapping.aes import SCALED_AESTHETICS, rename_aesthetics
if typing.TYPE_CHECKING:
import plotnine as p9
__all__ = ("xlab", "ylab", "labs", "ggtitle")
VALID_LABELS = SCALED_AESTHETICS | {"cap... | 1,919 | 20.573034 | 76 | py |
plotnine | plotnine-main/plotnine/exceptions.py | from __future__ import annotations
import warnings
from textwrap import dedent
from typing import Optional, Type, Union
# Show the warnings on one line, leaving out any code makes the
# message clear
def warning_format(
message: Union[Warning, str],
category: Type[Warning],
filename: str,
lineno: int... | 973 | 18.877551 | 63 | py |
plotnine | plotnine-main/plotnine/typing.py | from __future__ import annotations
import typing
if typing.TYPE_CHECKING:
from typing import (
Any,
Callable,
Dict,
Literal,
Protocol,
Sequence,
TypeVar,
)
import numpy as np
import numpy.typing as npt
import pandas as pd
from matplotlib... | 7,791 | 29.319066 | 77 | py |
plotnine | plotnine-main/plotnine/utils.py | """
Little functions used all over the codebase
"""
from __future__ import annotations
import collections
import inspect
import itertools
import typing
import warnings
from contextlib import suppress
from warnings import warn
from weakref import WeakValueDictionary
import numpy as np
import pandas as pd
import pandas... | 33,720 | 24.879509 | 79 | py |
plotnine | plotnine-main/plotnine/ggplot.py | from __future__ import annotations
import typing
from collections.abc import Sequence
from copy import deepcopy
from itertools import chain
from pathlib import Path
from types import SimpleNamespace as NS
from typing import Any, Dict, Iterable, Optional, Union
from warnings import warn
import pandas as pd
from .coor... | 26,257 | 29.675234 | 79 | py |
plotnine | plotnine-main/plotnine/options.py | from __future__ import annotations
import typing
if typing.TYPE_CHECKING:
from typing import Any
#: Development flag, e.g. set to ``True`` to prevent
#: the queuing up of figures when errors happen.
close_all_figures = False
#: Theme used when none is added to the ggplot object
current_theme = None
#: The base... | 1,671 | 20.164557 | 63 | py |
plotnine | plotnine-main/plotnine/watermark.py | from __future__ import annotations
import typing
if typing.TYPE_CHECKING:
import pathlib
from typing import Any
import matplotlib.figure
import plotnine as p9
__all__ = ("watermark",)
class watermark:
"""
Add watermark to plot
Parameters
----------
filename : str | pathlib.Pa... | 1,610 | 21.068493 | 53 | py |
plotnine | plotnine-main/plotnine/__init__.py | from importlib.metadata import PackageNotFoundError, version
try:
__version__ = version("plotnine")
except PackageNotFoundError:
# package is not installed
pass
finally:
del version
del PackageNotFoundError
# Imports below are generated with the following command:
#
# python -c "from plotnine.util... | 6,116 | 20.924731 | 77 | py |
plotnine | plotnine-main/plotnine/qplot.py | from __future__ import annotations
import typing
from contextlib import suppress
from warnings import warn
import numpy as np
import pandas as pd
from .exceptions import PlotnineError, PlotnineWarning
from .facets import facet_grid, facet_null, facet_wrap
from .facets.facet_grid import parse_grid_facets
from .facets... | 7,466 | 28.630952 | 78 | py |
plotnine | plotnine-main/plotnine/animation.py | from __future__ import annotations
import typing
from copy import copy
import pandas as pd
from matplotlib.animation import ArtistAnimation
from .exceptions import PlotnineError
if typing.TYPE_CHECKING:
from typing import Iterable
from plotnine.typing import (
Artist,
Axes,
Figure,
... | 7,300 | 31.02193 | 75 | py |
plotnine | plotnine-main/plotnine/positions/position_nudge.py | from __future__ import annotations
import typing
from .position import position
if typing.TYPE_CHECKING:
from plotnine.typing import FloatArray, FloatArrayLike
class position_nudge(position):
"""
Nudge points
Useful to nudge labels away from the points
being labels.
Parameters
-------... | 943 | 19.977778 | 61 | py |
plotnine | plotnine-main/plotnine/positions/position.py | from __future__ import annotations
import typing
from copy import copy
from warnings import warn
import numpy as np
from ..exceptions import PlotnineError, PlotnineWarning
from ..mapping.aes import X_AESTHETICS, Y_AESTHETICS
from ..utils import (
Registry,
check_required_aesthetics,
groupby_apply,
is... | 8,108 | 29.144981 | 78 | py |
plotnine | plotnine-main/plotnine/positions/position_identity.py | from .position import position
class position_identity(position):
"""
Do not adjust the position
"""
@classmethod
def compute_layer(cls, data, params, layout):
return data
| 203 | 16 | 49 | py |
plotnine | plotnine-main/plotnine/positions/position_stack.py | from __future__ import annotations
import typing
from warnings import warn
import numpy as np
import pandas as pd
from ..exceptions import PlotnineWarning
from ..utils import remove_missing
from .position import position
if typing.TYPE_CHECKING:
from plotnine.typing import Scale, Trans
class position_stack(po... | 4,355 | 28.632653 | 79 | py |
plotnine | plotnine-main/plotnine/positions/position_dodge.py | from contextlib import suppress
from copy import copy
import numpy as np
import pandas as pd
from ..exceptions import PlotnineError
from ..utils import groupby_apply, match
from .position import position
class position_dodge(position):
"""
Dodge overlaps and place objects side-by-side
Parameters
--... | 3,444 | 29.486726 | 78 | py |
plotnine | plotnine-main/plotnine/positions/position_jitterdodge.py | from contextlib import suppress
from copy import copy
from ..exceptions import PlotnineError
from ..mapping.aes import SCALED_AESTHETICS
from ..utils import jitter, resolution
from .position import position
from .position_dodge import position_dodge
# Adjust position by simultaneously dodging and jittering
class pos... | 3,264 | 29.801887 | 65 | py |
plotnine | plotnine-main/plotnine/positions/position_jitter.py | from __future__ import annotations
import typing
from copy import deepcopy
import numpy as np
from ..utils import jitter, resolution
from .position import position
if typing.TYPE_CHECKING:
from plotnine.typing import FloatArray, FloatArrayLike
class position_jitter(position):
"""
Jitter points to avoi... | 2,138 | 27.52 | 67 | py |
plotnine | plotnine-main/plotnine/positions/position_fill.py | from .position_stack import position_stack
class position_fill(position_stack):
"""
Normalise stacked objects to unit height
"""
fill = True
| 160 | 15.1 | 44 | py |
plotnine | plotnine-main/plotnine/positions/__init__.py | """
Position Adjustments
"""
from .position_dodge import position_dodge
from .position_dodge2 import position_dodge2
from .position_fill import position_fill
from .position_identity import position_identity
from .position_jitter import position_jitter
from .position_jitterdodge import position_jitterdodge
from .positio... | 594 | 24.869565 | 54 | py |
plotnine | plotnine-main/plotnine/positions/position_dodge2.py | from __future__ import annotations
import typing
from copy import copy
import numpy as np
import pandas as pd
from ..exceptions import PlotnineError
from ..utils import groupby_apply, pivot_apply
from .position_dodge import position_dodge
if typing.TYPE_CHECKING:
from plotnine.typing import IntArray
class pos... | 5,467 | 31.164706 | 79 | py |
plotnine | plotnine-main/plotnine/scales/scale_shape.py | from warnings import warn
from ..doctools import document
from ..exceptions import PlotnineError, PlotnineWarning
from ..utils import alias
from .scale import scale_continuous, scale_discrete
# All these shapes are filled
shapes = (
"o", # circle
"^", # triangle up
"s", # square
"D", # Diamond
... | 2,194 | 19.324074 | 79 | py |
plotnine | plotnine-main/plotnine/scales/scale_size.py | from warnings import warn
import numpy as np
from mizani.bounds import rescale_max
from ..doctools import document
from ..exceptions import PlotnineWarning
from ..utils import alias
from .scale import scale_continuous, scale_datetime, scale_discrete
@document
class scale_size_ordinal(scale_discrete):
"""
Di... | 3,381 | 21.697987 | 67 | py |
plotnine | plotnine-main/plotnine/scales/limits.py | import sys
from contextlib import suppress
import pandas as pd
from ..exceptions import PlotnineError
from ..geoms import geom_blank
from ..mapping.aes import ALL_AESTHETICS, aes
from ..scales.scales import make_scale
from ..utils import array_kind
# By adding limits, we create a scale of the appropriate type
class... | 5,598 | 22.136364 | 72 | py |
plotnine | plotnine-main/plotnine/scales/_expand.py | from __future__ import annotations
import typing
import numpy as np
from mizani.bounds import expand_range_distinct
from ..iapi import range_view
from ..utils import ignore_warnings
if typing.TYPE_CHECKING:
from typing import Type
from plotnine.typing import (
CoordRange,
Trans,
Tup... | 1,515 | 20.971014 | 63 | py |
plotnine | plotnine-main/plotnine/scales/scale.py | from __future__ import annotations
import typing
from contextlib import suppress
from copy import copy, deepcopy
from warnings import warn
import numpy as np
import pandas as pd
from mizani.bounds import censor, expand_range_distinct, rescale, zero_range
from ..doctools import document
from ..exceptions import Plotn... | 34,712 | 29.638129 | 78 | py |
plotnine | plotnine-main/plotnine/scales/scale_linetype.py | from warnings import warn
from ..doctools import document
from ..exceptions import PlotnineError, PlotnineWarning
from ..utils import alias
from .scale import scale_continuous, scale_discrete
LINETYPES = ["solid", "dashed", "dashdot", "dotted"]
@document
class scale_linetype(scale_discrete):
"""
Scale for l... | 1,445 | 19.956522 | 69 | py |
plotnine | plotnine-main/plotnine/scales/scale_color.py | from __future__ import annotations
import typing
from warnings import warn
from ..doctools import document
from ..exceptions import PlotnineWarning
from ..utils import alias
from .scale import scale_continuous, scale_datetime, scale_discrete
if typing.TYPE_CHECKING:
from typing import Literal
# Discrete color ... | 15,040 | 24.36425 | 78 | py |
plotnine | plotnine-main/plotnine/scales/scale_manual.py | from __future__ import annotations
import typing
from warnings import warn
from ..doctools import document
from ..exceptions import PlotnineWarning
from ..utils import alias
from .scale import scale_discrete
if typing.TYPE_CHECKING:
from plotnine.typing import ScaleBreaksRaw
@document
class _scale_manual(scale... | 5,046 | 25.286458 | 76 | py |
plotnine | plotnine-main/plotnine/scales/scales.py | from __future__ import annotations
import itertools
import typing
from contextlib import suppress
from typing import List
from warnings import warn
import numpy as np
import pandas.api.types as pdtypes
from ..exceptions import PlotnineError, PlotnineWarning
from ..mapping.aes import aes_to_scale
from ..utils import ... | 9,747 | 27.502924 | 79 | py |
plotnine | plotnine-main/plotnine/scales/scale_xy.py | from __future__ import annotations
import typing
from itertools import chain
import numpy as np
import pandas as pd
from ..doctools import document
from ..exceptions import PlotnineError
from ..iapi import range_view
from ..utils import alias, array_kind, match
from ._expand import expand_range
from .range import Ra... | 10,362 | 23.269321 | 78 | py |
plotnine | plotnine-main/plotnine/scales/scale_identity.py | from __future__ import annotations
import typing
from ..doctools import document
from ..utils import alias
from .scale import scale_continuous, scale_discrete
if typing.TYPE_CHECKING:
from typing import Any, Literal, Sequence
class MapTrainMixin:
"""
Override map and train methods
"""
guide: L... | 2,487 | 18.138462 | 63 | py |
plotnine | plotnine-main/plotnine/scales/__init__.py | """
Scales
"""
# limits
from .limits import expand_limits, lims, xlim, ylim
# alpha
from .scale_alpha import (
scale_alpha,
scale_alpha_continuous, # pyright: ignore
scale_alpha_datetime,
scale_alpha_discrete,
scale_alpha_ordinal,
)
# pyright: reportGeneralTypeIssues=true
# fill
# color
from .sca... | 6,171 | 23.299213 | 51 | py |
plotnine | plotnine-main/plotnine/scales/scale_stroke.py | from warnings import warn
import numpy as np
from ..doctools import document
from ..exceptions import PlotnineWarning
from ..utils import alias
from .scale import scale_continuous, scale_discrete
@document
class scale_stroke_continuous(scale_continuous):
"""
Continuous Stroke Scale
Parameters
-----... | 1,750 | 21.448718 | 66 | py |
plotnine | plotnine-main/plotnine/scales/scale_alpha.py | from warnings import warn
import numpy as np
from ..doctools import document
from ..exceptions import PlotnineWarning
from ..utils import alias
from .scale import scale_continuous, scale_datetime, scale_discrete
@document
class scale_alpha(scale_continuous):
"""
Continuous Alpha Scale
Parameters
--... | 2,313 | 21.910891 | 67 | py |
plotnine | plotnine-main/plotnine/scales/range.py | from __future__ import annotations
import typing
from mizani.scale import scale_continuous, scale_discrete
if typing.TYPE_CHECKING:
from typing import Any, Sequence
from plotnine.typing import TupleFloat2
class Range:
"""
Base class for all ranges
"""
#: Holds the range information after ... | 1,423 | 19.342857 | 79 | py |
plotnine | plotnine-main/plotnine/_mpl/patches.py | from __future__ import annotations
import typing
from matplotlib.patches import FancyBboxPatch
from matplotlib.text import _get_textbox
from matplotlib.transforms import Affine2D
if typing.TYPE_CHECKING:
from matplotlib.backend_bases import RendererBase
from plotnine.typing import StripPosition
from .t... | 1,951 | 26.111111 | 71 | py |
plotnine | plotnine-main/plotnine/_mpl/ticker.py | from matplotlib.ticker import FixedFormatter, locale
class MyFixedFormatter(FixedFormatter):
"""
Override MPL fixedformatter for better formatting
"""
def format_data(self, value: float) -> str:
"""
Return a formatted string representation of a number.
"""
s = locale.f... | 386 | 24.8 | 61 | py |
plotnine | plotnine-main/plotnine/_mpl/_plotnine_tight_layout.py | """
Routines to adjust subplot params so that subplots are
nicely fit in the figure. In doing so, only axis labels, tick labels, axes
titles and offsetboxes that are anchored to axes are currently considered.
Internally, this module assumes that the margins (left margin, etc.) which are
differences between ``Axes.get_... | 23,746 | 27.003538 | 79 | py |
plotnine | plotnine-main/plotnine/_mpl/layout_engine.py | from __future__ import annotations
import typing
from dataclasses import asdict, dataclass
from matplotlib.layout_engine import LayoutEngine
if typing.TYPE_CHECKING:
from typing import Optional
from matplotlib.backend_bases import RendererBase
from matplotlib.offsetbox import AnchoredOffsetbox
from ... | 3,074 | 26.455357 | 73 | py |
plotnine | plotnine-main/plotnine/_mpl/utils.py | from __future__ import annotations
import typing
from .transforms import ZEROS_BBOX
if typing.TYPE_CHECKING:
from matplotlib.backend_bases import RendererBase
from matplotlib.transforms import Bbox
from plotnine.typing import (
Artist,
Axes,
Figure,
)
def bbox_in_figure_spa... | 1,292 | 23.396226 | 60 | py |
plotnine | plotnine-main/plotnine/_mpl/text.py | from __future__ import annotations
import typing
from matplotlib.text import Text
from .patches import SFancyBboxPatch
from .utils import bbox_in_axes_space
if typing.TYPE_CHECKING:
from matplotlib.backend_bases import RendererBase
from plotnine.iapi import strip_draw_info
class SText(Text):
"""
... | 1,968 | 27.536232 | 74 | py |
plotnine | plotnine-main/plotnine/_mpl/__init__.py | 0 | 0 | 0 | py | |
plotnine | plotnine-main/plotnine/_mpl/offsetbox.py | import matplotlib.transforms as mtransforms
from matplotlib.offsetbox import AuxTransformBox, DrawingArea
class ColoredDrawingArea(DrawingArea):
"""
A Drawing Area with a background color
"""
def __init__(
self,
width: float,
height: float,
xdescent=0.0,
ydesce... | 1,715 | 24.61194 | 70 | py |
plotnine | plotnine-main/plotnine/_mpl/transforms.py | from matplotlib.transforms import Bbox
ZEROS_BBOX = Bbox([[0, 0], [0, 0]])
| 76 | 18.25 | 38 | py |
plotnine | plotnine-main/plotnine/geoms/geom_errorbarh.py | from __future__ import annotations
import typing
import numpy as np
import pandas as pd
from ..doctools import document
from ..utils import copy_missing_columns, resolution
from .geom import geom
from .geom_path import geom_path
from .geom_segment import geom_segment
if typing.TYPE_CHECKING:
from typing import ... | 2,218 | 25.416667 | 70 | py |
plotnine | plotnine-main/plotnine/geoms/geom_histogram.py | from ..doctools import document
from .geom_bar import geom_bar
@document
class geom_histogram(geom_bar):
"""
Histogram
{usage}
Parameters
----------
{common_parameters}
See Also
--------
plotnine.geoms.geom_bar
"""
DEFAULT_PARAMS = {"stat": "bin", "position": "stack", "... | 335 | 14.272727 | 73 | py |
plotnine | plotnine-main/plotnine/geoms/geom.py | from __future__ import annotations
import typing
from copy import deepcopy
from itertools import chain, repeat
import pandas as pd
from ..exceptions import PlotnineError
from ..layer import layer
from ..mapping.aes import is_valid_aesthetic, rename_aesthetics
from ..mapping.evaluation import evaluate
from ..position... | 15,835 | 28.544776 | 77 | py |
plotnine | plotnine-main/plotnine/geoms/geom_col.py | from ..doctools import document
from .geom_bar import geom_bar
@document
class geom_col(geom_bar):
"""
Bar plot with base on the x-axis
This is an alternate version of :class:`geom_bar` that maps
the height of bars to an existing variable in your data. If
you want the height of the bar to represe... | 852 | 22.054054 | 65 | py |
plotnine | plotnine-main/plotnine/geoms/annotate.py | from __future__ import annotations
import typing
import pandas as pd
from ..exceptions import PlotnineError
from ..geoms.geom import geom as geom_base_class
from ..mapping import aes
from ..mapping.aes import POSITION_AESTHETICS
from ..utils import Registry, is_scalar_or_string
if typing.TYPE_CHECKING:
from typ... | 4,080 | 26.389262 | 76 | py |
plotnine | plotnine-main/plotnine/geoms/geom_blank.py | from __future__ import annotations
import typing
from ..doctools import document
from .geom import geom
if typing.TYPE_CHECKING:
from typing import Any
import pandas as pd
from plotnine.iapi import panel_view
from plotnine.typing import Axes, Coord
@document
class geom_blank(geom):
"""
An... | 784 | 15.702128 | 60 | py |
plotnine | plotnine-main/plotnine/geoms/geom_quantile.py | from ..doctools import document
from .geom_path import geom_path
@document
class geom_quantile(geom_path):
"""
Quantile lines from a quantile regression
{usage}
Parameters
----------
{common_parameters}
lineend : str (default: butt)
Line end style, of of *butt*, *round* or *proje... | 831 | 22.111111 | 62 | py |
plotnine | plotnine-main/plotnine/geoms/geom_smooth.py | from __future__ import annotations
import typing
from ..doctools import document
from ..utils import to_rgba
from .geom import geom
from .geom_line import geom_line, geom_path
from .geom_ribbon import geom_ribbon
if typing.TYPE_CHECKING:
from typing import Any
import pandas as pd
from plotnine.iapi imp... | 3,375 | 24.969231 | 77 | py |
plotnine | plotnine-main/plotnine/geoms/geom_map.py | from __future__ import annotations
import typing
import numpy as np
import pandas as pd
from ..doctools import document
from ..exceptions import PlotnineError
from ..utils import SIZE_FACTOR, to_rgba
from .geom import geom
from .geom_point import geom_point
from .geom_polygon import geom_polygon
if typing.TYPE_CHEC... | 9,438 | 29.15655 | 79 | py |
plotnine | plotnine-main/plotnine/geoms/geom_linerange.py | from __future__ import annotations
import typing
from ..doctools import document
from .geom import geom
from .geom_path import geom_path
from .geom_segment import geom_segment
if typing.TYPE_CHECKING:
from typing import Any
import pandas as pd
from plotnine.iapi import panel_view
from plotnine.typi... | 1,238 | 18.983871 | 72 | py |
plotnine | plotnine-main/plotnine/geoms/geom_abline.py | from __future__ import annotations
import typing
from typing import Sized
from warnings import warn
import numpy as np
import pandas as pd
from ..doctools import document
from ..exceptions import PlotnineWarning
from ..mapping import aes
from ..utils import order_as_data_mapping
from .geom import geom
from .geom_pat... | 3,113 | 25.615385 | 77 | py |
plotnine | plotnine-main/plotnine/geoms/geom_hline.py | from __future__ import annotations
import typing
from warnings import warn
import numpy as np
import pandas as pd
from ..doctools import document
from ..exceptions import PlotnineWarning
from ..mapping import aes
from ..utils import order_as_data_mapping
from .geom import geom
from .geom_path import geom_path
from .... | 2,384 | 23.336735 | 77 | py |
plotnine | plotnine-main/plotnine/geoms/geom_line.py | from __future__ import annotations
import typing
from ..doctools import document
from .geom_path import geom_path
if typing.TYPE_CHECKING:
import pandas as pd
@document
class geom_line(geom_path):
"""
Connected points
{usage}
Parameters
----------
{common_parameters}
See Also
... | 528 | 16.633333 | 69 | py |
plotnine | plotnine-main/plotnine/geoms/geom_point.py | from __future__ import annotations
import typing
import numpy as np
from ..doctools import document
from ..scales.scale_shape import FILLED_SHAPES
from ..utils import SIZE_FACTOR, to_rgba
from .geom import geom
if typing.TYPE_CHECKING:
from typing import Any
import pandas as pd
from plotnine.iapi impo... | 4,030 | 24.19375 | 74 | py |
plotnine | plotnine-main/plotnine/geoms/geom_dotplot.py | from __future__ import annotations
import typing
from warnings import warn
import numpy as np
from ..doctools import document
from ..exceptions import PlotnineWarning
from ..utils import groupby_apply, resolution, to_rgba
from .geom import geom
if typing.TYPE_CHECKING:
from typing import Any
import pandas ... | 8,509 | 31.605364 | 77 | py |
plotnine | plotnine-main/plotnine/geoms/geom_pointrange.py | from __future__ import annotations
import typing
from ..doctools import document
from .geom import geom
from .geom_linerange import geom_linerange
from .geom_path import geom_path
from .geom_point import geom_point
if typing.TYPE_CHECKING:
from typing import Any
import pandas as pd
from plotnine.iapi i... | 2,162 | 22.769231 | 70 | py |
plotnine | plotnine-main/plotnine/geoms/geom_errorbar.py | from __future__ import annotations
import typing
import numpy as np
import pandas as pd
from ..doctools import document
from ..utils import copy_missing_columns, resolution
from .geom import geom
from .geom_path import geom_path
from .geom_segment import geom_segment
if typing.TYPE_CHECKING:
from typing import ... | 2,203 | 25.238095 | 70 | py |
plotnine | plotnine-main/plotnine/geoms/geom_segment.py | from __future__ import annotations
import typing
import numpy as np
import pandas as pd
from ..doctools import document
from ..utils import SIZE_FACTOR, interleave, make_line_segments, to_rgba
from .geom import geom
from .geom_path import geom_path
if typing.TYPE_CHECKING:
from typing import Any
from plotn... | 2,889 | 26.52381 | 72 | py |
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