4 examples of 'pandas hist title' in Python

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88def plot_hist(axes, data, xlabel=None, log=False, avg=True, median=True, bins=None, **kwargs):
89 time_max = max(data)
90 time_min = min(data)
91 time_avg = np.average(data)
92 time_median = np.median(data)
93 if bins is None:
94 bins = time_max - time_min + 1
95 hist = axes.hist(data, bins=bins, log=log, **kwargs)
96 if avg:
97 axes.axvline(x=time_avg, alpha=0.7, linestyle="dotted", color="blue", label="avg = {}".format(time_avg))
98 if median:
99 axes.axvline(x=time_median, alpha=0.7, linestyle="dotted", color="green", label="median = {}".format(time_median))
100 axes.set_ylabel("count" + ("\n(log)" if log else ""))
101 axes.set_xlabel("time" if xlabel is None else xlabel)
102 axes.xaxis.set_major_locator(ticker.MaxNLocator())
103 if avg or median:
104 axes.legend(loc="best")
105 return hist
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95def fig_hist(da, bins, title, condi=None, outside=(False, True),
96 colors=('#8ecbad', '#b3ffd9')):
97 density, edges = dens_hist(da, bins, outside)
98
99 if condi is None:
100 fig = draw_hist(edges, density)
101 else:
102 density2, edges2 = dens_hist(da[condi], bins, outside)
103
104 bar1 = go.Bar(
105 y=edges2, x=density2, orientation='h',
106 marker=dict(color='black', line=dict(color='black'))
107 )
108 bar2 = go.Bar(
109 y=edges, x=density, orientation='h',
110 marker=dict(
111 color='rgba(0,0,0,0)',
112 line=dict(color='white', width=1)
113 )
114 )
115 fig = go.Figure(data=[bar1, bar2])
116
117 density = density2
118 edges = edges2
119
120 format_hist(fig, bins, edges, density, title, outside, colors)
121
122 return fig
134def compare_hist(hist, bins, like, x, figname, discrete=False):
135 """Plot and save a figure comparing the histogram with the
136 probability.
137
138 :Parameters:
139 - `samples`: random variables.
140 - `like`: probability values.
141 - `bins`: histogram bins.
142 - `x`: values at which like is computed.
143 - `figname`: Name of figure to save.
144 """
145 ax = P.subplot(111)
146 width = 0.9*(bins[1]-bins[0])
147 ax.bar(bins, hist, width)
148 P.setp(ax.patches, alpha=.5)
149 if discrete:
150 ax.plot(x, like, 'k', linestyle='steps')
151 else:
152 ax.plot(x, like, 'k')
153 P.savefig('figs/' + figname)
154 P.close()
113def pandas_group_hist_plot(df, var, group, x_name, y_name, folder='figures', save=True):
114 plt.figure(figsize=(8, 5))
115 g = sns.FacetGrid(df, hue=group, height=5, aspect=1)
116 g.map(sns.distplot, var)
117 g.add_legend()
118 plt.xlabel(x_name)
119 plt.ylabel(y_name)
120 plt.tight_layout()
121 if save:
122 plt.savefig("{0}/{1}_hist.pdf".format(folder, y_name), format="pdf")
123 else:
124 plt.show()
125 plt.close()

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