test bokeh app

config.ini

@@ -16,3 +16,4 @@ satellite_sst_buoy_1x1 = '/gws/nopw/j04/orchestra/ESAcci_sst_v2.1_coarse/v2.1_at
 satellite_sst_buoy_2x2 = '/gws/nopw/j04/orchestra/ESAcci_sst_v2.1_coarse/v2.1_atbuoy_2x2/'
 
 time_series = '/gws/nopw/j04/orchestra/ESAcci_sst_v2.1_coarse/time_series_ESAcci_sst/'
+

sst_tools/plot_sst.py

@@ -20,6 +20,7 @@ def plot_sst_map(sst_data, ax, vmin=None, vmax=None, cbar=True):
         ax: axes to plot the data
         vmin: minimum value of the color scale
         vmax: maximum value of the color scale
+        cbar: If True include colour bar
 
         Returns
         -------
@@ -37,8 +38,7 @@ def plot_sst_map(sst_data, ax, vmin=None, vmax=None, cbar=True):
         cax, kw = colorbar.make_axes(ax, location='bottom', pad=0.001, aspect=30)
         cb = plt.colorbar(im, cax=cax, **kw) # orientation="horizontal")
         cb.set_label(label='CCI SST temperature normalised ($^{\circ}$C)',
-                 size='medium', weight='bold')
-
+                     size='medium', weight='bold')
     gl = ax.gridlines(crs=crs.PlateCarree(),
                       draw_labels=True,
                       linewidth=2, color='gray', alpha=0.5, linestyle='--')
@@ -107,3 +107,36 @@ def plot_stats_on_salem_map(ds, var, t, lon_xinterval=0.5, lat_yinterval=0.5):
     sm.set_lonlat_contours(xinterval=lon_xinterval, yinterval=lat_yinterval)
     sm.set_cmap(cmap)
     return sm
+
+
+def plot_time_series(data_dic,
+                     name_one, name_two,
+                     variable,
+                     label_one, label_two,
+                     axs):
+    """
+    Plot time series of data
+        Parameters
+        ----------
+        data_dic_one: dictionary with the data resolution 1
+        data_dic_two: dictionary with the data resolution 2
+        name_one: file name (e.g. '1M_1x1', '1Y_1x1' or 'QS-JAN_1x1')
+        name_two: file name (e.g. '1M_2x2', '1Y_2x2' or 'QS-JAN_2x2')
+        variable: variable to plot from the data_dic columns
+                  (e.g. weighted_analysed_sst_diff_mean)
+        label_one: variable label for data 1 (e.g. SST diff 1x1)
+        label_two: variable label for data 2 (e.g. SST diff 2x2)
+        axs: axes to plot the data on
+        legend: True if legend wanted
+        """
+
+    # Gathering data to plot
+    time = data_dic[name_one][0].time
+
+    var_1 = data_dic[name_one][0][variable]
+    var_2 = data_dic[name_two][0][variable]
+
+    axs.plot(time, var_1, label=label_one)
+    axs.plot(time, var_2, label=label_two)
+
+    return {}