Python matplotlib.ticker.PercentFormatter() Examples
The following are 10
code examples of matplotlib.ticker.PercentFormatter().
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Example #1
Source File: test_ticker.py From python3_ios with BSD 3-Clause "New" or "Revised" License | 5 votes |
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
Example #2
Source File: test_ticker.py From python3_ios with BSD 3-Clause "New" or "Revised" License | 5 votes |
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
Example #3
Source File: testelementplot.py From holoviews with BSD 3-Clause "New" or "Revised" License | 5 votes |
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)
Example #4
Source File: testelementplot.py From holoviews with BSD 3-Clause "New" or "Revised" License | 5 votes |
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)
Example #5
Source File: testelementplot.py From holoviews with BSD 3-Clause "New" or "Revised" License | 5 votes |
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)
Example #6
Source File: rl_train.py From pairstrade-fyp-2019 with MIT License | 5 votes |
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
Example #7
Source File: test_ticker.py From coffeegrindsize with MIT License | 5 votes |
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
Example #8
Source File: test_ticker.py From coffeegrindsize with MIT License | 5 votes |
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
Example #9
Source File: test_ticker.py From twitter-stock-recommendation with MIT License | 5 votes |
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
Example #10
Source File: test_ticker.py From twitter-stock-recommendation with MIT License | 5 votes |
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