4 examples of 'seaborn time series' in Python

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20def 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()
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8def 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
169def plot_series(self, timeseries, **kwargs):
170 out = super(TimeSeriesAxes, self).plot_series(timeseries, **kwargs)
171 self._init_epoch_from_array(timeseries)
172 return out
164def 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()

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