def test_stat_bin():
x = [1, 2, 3]
y = [1, 2, 3]
df = pd.DataFrame({'x': x, 'y': y})
# About the default bins
gg = ggplot(aes(x='x'), df) + stat_bin()
with pytest.warns(None) as record:
gg.draw_test()
res = ('bins' in str(item.message).lower() for item in record)
assert any(res)
# About the ignoring the y aesthetic
gg = ggplot(aes(x='x', y='y'), df) + stat_bin()
with pytest.raises(PlotnineError):
gg.draw_test()
def test_stat_bin():
x = [1, 2, 3]
y = [1, 2, 3]
df = pd.DataFrame({'x': x, 'y': y})
# About the default bins
gg = ggplot(aes(x='x'), df) + stat_bin()
if not six.PY2:
# Test fails on PY2 when all the tests are run,
# but not when only this test module is run
with pytest.warns(None) as record:
gg.draw_test()
res = ('bins' in str(item.message).lower() for item in record)
assert any(res)
# About the ignoring the y aesthetic
gg = ggplot(aes(x='x', y='y'), df) + stat_bin()
with pytest.raises(PlotnineError):
gg.draw_test()
def test_stat_bin():
x = [1, 2, 3]
y = [1, 2, 3]
df = pd.DataFrame({'x': x, 'y': y})
# About the default bins
gg = ggplot(aes(x='x'), df) + stat_bin()
if not six.PY2:
# Test fails on PY2 when all the tests are run,
# but not when only this test module is run
with pytest.warns(None) as record:
gg.draw_test()
res = ('bins' in str(item.message).lower() for item in record)
assert any(res)
# About the ignoring the y aesthetic
gg = ggplot(aes(x='x', y='y'), df) + stat_bin()
with pytest.raises(PlotnineError):
gg.draw_test()
#
# (C) Copyright 2021 Pavel Tisnovsky
#
# All rights reserved. This program and the accompanying materials
# are made available under the terms of the Eclipse Public License v1.0
# which accompanies this distribution, and is available at
# http://www.eclipse.org/legal/epl-v10.html
#
# Contributors:
# Pavel Tisnovsky
#
from plotnine.data import economics
from plotnine import ggplot, aes, geom_bar, stat_bin
g = ggplot(economics) + aes(x="uempmed") + stat_bin(bins=20) + geom_bar()
g.save("15.png")
from plotnine.data import mtcars from plotnine import ggplot, aes, geom_bar, stat_bin print(ggplot(mtcars) + aes(x="hp") + stat_bin(bins=12) + geom_bar())
import numpy as np
import pandas as pd
import statsmodels.api as sm
import statsmodels.formula.api as smf
from itertools import combinations
import plotnine as p
# read data
import ssl
ssl._create_default_https_context = ssl._create_unverified_context
def read_data(file):
return pd.read_stata(
"https://raw.github.com/scunning1975/mixtape/master/" + file)
training_example = read_data("training_example.dta")
p.ggplot(training_example, p.aes(x='age_treat')) + p.stat_bin(bins=10)
p.ggplot(training_example, p.aes(x='age_control')) + p.geom_histogram(bins=10)
