本文整理匯總了Python中matplotlib.ticker.PercentFormatter方法的典型用法代碼示例。如果您正苦於以下問題：Python ticker.PercentFormatter方法的具體用法？Python ticker.PercentFormatter怎麽用？Python ticker.PercentFormatter使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類matplotlib.ticker的用法示例。
在下文中一共展示了ticker.PercentFormatter方法的6個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_basic
# 需要導入模塊: from matplotlib import ticker [as 別名]
# 或者: from matplotlib.ticker import PercentFormatter [as 別名]
def test_basic(self, xmax, decimals, symbol,
x, display_range, expected):
formatter = mticker.PercentFormatter(xmax, decimals, symbol)
with matplotlib.rc_context(rc={'text.usetex': False}):
assert formatter.format_pct(x, display_range) == expected 示例2: test_latex
# 需要導入模塊: from matplotlib import ticker [as 別名]
# 或者: from matplotlib.ticker import PercentFormatter [as 別名]
def test_latex(self, is_latex, usetex, expected):
fmt = mticker.PercentFormatter(symbol='\\{t}%', is_latex=is_latex)
with matplotlib.rc_context(rc={'text.usetex': usetex}):
assert fmt.format_pct(50, 100) == expected 示例3: test_element_xformatter_instance
# 需要導入模塊: from matplotlib import ticker [as 別名]
# 或者: from matplotlib.ticker import PercentFormatter [as 別名]
def test_element_xformatter_instance(self):
formatter = PercentFormatter()
curve = Curve(range(10)).options(xformatter=formatter)
plot = mpl_renderer.get_plot(curve)
xaxis = plot.handles['axis'].xaxis
xformatter = xaxis.get_major_formatter()
self.assertIs(xformatter, formatter) 示例4: test_element_yformatter_instance
# 需要導入模塊: from matplotlib import ticker [as 別名]
# 或者: from matplotlib.ticker import PercentFormatter [as 別名]
def test_element_yformatter_instance(self):
formatter = PercentFormatter()
curve = Curve(range(10)).options(yformatter=formatter)
plot = mpl_renderer.get_plot(curve)
yaxis = plot.handles['axis'].yaxis
yformatter = yaxis.get_major_formatter()
self.assertIs(yformatter, formatter) 示例5: test_element_zformatter_instance
# 需要導入模塊: from matplotlib import ticker [as 別名]
# 或者: from matplotlib.ticker import PercentFormatter [as 別名]
def test_element_zformatter_instance(self):
formatter = PercentFormatter()
curve = Scatter3D([]).options(zformatter=formatter)
plot = mpl_renderer.get_plot(curve)
zaxis = plot.handles['axis'].zaxis
zformatter = zaxis.get_major_formatter()
self.assertIs(zformatter, formatter) 示例6: plot_rs_dist_overlap
# 需要導入模塊: from matplotlib import ticker [as 別名]
# 或者: from matplotlib.ticker import PercentFormatter [as 別名]
def plot_rs_dist_overlap(rs, fig_title, mean=False, median=False, color=None, methodName=None):
return_in_percent = np.array(rs) / rl_constants.initial_cash
# stat = plt.hist(return_in_percent, bins=30, weights=np.ones(len(return_in_percent)) / len(return_in_percent))
y, binEdges = np.histogram(return_in_percent, bins=50, density=True)
bincenters = 0.5*(binEdges[1:]+binEdges[:-1])
plt.plot(bincenters,y,'-', color=color, label=methodName)
mean_stat = return_in_percent.mean()
median_stat = np.median(return_in_percent)
if mean:
plt.axvline(mean_stat, color=color, linestyle='dashed', linewidth=1, label=methodName+' Mean: {:.3f}'.format(mean_stat))
if median:
plt.axvline(median_stat, color=color, linestyle='dashed', linewidth=1, label=methodName+' Median: {:.3f}'.format(median_stat))
plt.gcf().set_size_inches(14, 7)
# plt.gca().yaxis.set_major_formatter(PercentFormatter(1))
plt.gca().xaxis.set_major_formatter(PercentFormatter(1))
if len(fig_title) != 0:
plt.suptitle(fig_title)
plt.xlabel('return')
plt.ylabel('density of the distribution of all pairs')
plt.legend(loc='upper right')
# print(stat)
_logger.info('Number of pairs:', len(return_in_percent))
_logger.info('Mean return over all pairs: {:.4f}'.format(np.mean(return_in_percent)))
# global batch_id to keep track of the progress