4 examples of 'seaborn time series' in Python
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20 def plot_time_series(plot_widget, x, y): 21 plot_widget.canvas.axes.cla() 22 plot_widget.canvas.axes.step(x, y, where='post') 23 plot_widget.canvas.axes.get_xaxis().set_tick_params(labelrotation=45.0) 24 plot_widget.canvas.draw()
8 def plot_data(data, value, time, run, condition, title='', ax=None, ci=95): 9 """ 10 Plot time series data using sns.tsplot 11 12 Params 13 ---------- 14 data (pd.DataFrame): 15 value (str): value column 16 time (str): time column 17 condition (str): sns.tsplot condition 18 title (str): 19 ax (matplotlib axis): 20 """ 21 if isinstance(data, list): 22 data = pd.concat(data, ignore_index=True) 23 sns.set(style="darkgrid", font_scale=1.5) 24 plot = sns.tsplot( 25 data=data, time=time, value=value, unit=run, condition=condition, 26 ax=ax, ci=ci) 27 plt.title(title) 28 return plot
168 @auto_refresh 169 def plot_series(self, timeseries, **kwargs): 170 out = super(TimeSeriesAxes, self).plot_series(timeseries, **kwargs) 171 self._init_epoch_from_array(timeseries) 172 return out
164 def plot_time_series(prices, *names): 165 fig, ax = plt.subplots() 166 167 prices.plot(ax=ax) 168 plotting.style_default(ax, fig, ylabel='Price') 169 170 plt.show()