remove plot function

requirements.txt

@@ -1,5 +1,4 @@
 numpy
 requests
 pandas
-matplotlib
 sphinx

timeseriesql/tests/timeseries_test.py

@@ -460,10 +460,4 @@ def test_invalid_index(self):
         # out of bounds stop date index
         out_of_bounds_date = np.datetime64(int(t1.time[0] - 86400), "s")
         new_t = t1[out_of_bounds_date:np.timedelta64(3, "m")]
-        self.assertEqual(len(new_t), 0)
-
-    def test_matplotlib(self):
-        t1, t2, t3 = self.basic_timeseries
-
-        t1.plot(legend=True)
-        self.assertEqual(1, len(plt.get_fignums()))
+        self.assertEqual(len(new_t), 0)

timeseriesql/timeseries.py

@@ -604,93 +604,6 @@ def rolling_window(self, size, stepsize=1):
         collection.chunks = (TimeChunk(slice(i, i+size), slice(None, None, None)) for i in range(0, len(self)-size+1, stepsize))
         return collection
 
-    def plot(self, ax=None, legend=True, **kwargs):
-        """Plot charts using sane time series defaults with Matplotlib.
-
-        Parameters
-        ----------
-        ax : matplotlib.axes.Axes
-            an Axes to plot against.  One will be created if not included
-        legend: Boolean
-            Decision to generate a legend
-
-        Returns
-        -------
-        None
-
-        Example
-        -------
-        cpu.plot()
-        >>>
-        """
-
-        import matplotlib.pyplot as plt
-        from matplotlib.dates import (
-            DayLocator,
-            HourLocator,
-            MonthLocator,
-            YearLocator,
-            MinuteLocator,
-            DateFormatter,
-        )
-
-        date_index = self.time.dt
-        if ax is None:
-            fig = plt.figure(1)
-            fig.autofmt_xdate()
-            ax = fig.add_subplot(111)
-
-        window = (date_index[-1] - date_index[0]).astype(int)
-
-        xlabel = ""
-        if window <= 3600:
-            minor_locator = MinuteLocator()
-            minor_formatter = DateFormatter("%M")
-            major_locator = HourLocator()
-            major_formatter = DateFormatter("\n%Y-%m-%d %H:%M")
-            xlabel = "Minute"
-        elif window <= 86400:
-            minor_locator = HourLocator()
-            minor_formatter = DateFormatter("%H:%M")
-            major_locator = DayLocator()
-            major_formatter = DateFormatter("\n%Y-%m-%d")
-            xlabel = "Hour"
-        elif window <= (7 * 86400):
-            minor_locator = HourLocator(interval=6)
-            minor_formatter = DateFormatter("%H:%M")
-            major_locator = DayLocator()
-            major_formatter = DateFormatter("\n%Y-%m-%d")
-            xlabel = "Hour"
-        elif window <= (60 * 86400):
-            interval = 1
-            if len(date_index) > 30:
-                interval = 2
-            minor_locator = DayLocator(interval=interval)
-            minor_formatter = DateFormatter("%m-%d")
-            major_locator = YearLocator()
-            major_formatter = DateFormatter("\n%Y")
-            xlabel = "Day"
-        else:
-            minor_locator = MonthLocator()
-            minor_formatter = DateFormatter("%B")
-            major_locator = YearLocator()
-            major_formatter = DateFormatter("\n%Y")
-            xlabel = "Month"
-
-        ax.xaxis.set_minor_locator(minor_locator)
-        ax.xaxis.set_minor_formatter(minor_formatter)
-        ax.xaxis.set_major_locator(major_locator)
-        ax.xaxis.set_major_formatter(major_formatter)
-        ax.fmt_xdata = DateFormatter("%Y-%m-%d %H:%M:%S")
-
-        ax.set_title(self._generate_title(), fontsize=18)
-        ax.set_xlabel = xlabel
-        # OPTION: plot each stream separate axs?
-        # OPTION: markers/events/annotations
-        ax.plot(date_index, self.data, **kwargs)
-        if legend:
-            labels = self._generate_labels()
-            ax.legend(title="Streams", labels=labels[:5])
 
     def copy(self):
         """Override the copy method to include the labels