Fix RTD

examples/plot_hycom_gdp.py

@@ -18,6 +18,7 @@
 # ---------------
 
 import numpy as np
+import pandas as pd
 import xarray as xr
 import matplotlib.pyplot as plt
 import cartopy.crs as ccrs
@@ -108,14 +109,15 @@
 #
 # The drifter comes as a `csv` file and we read it as :class:`pandas.DataFrame` instance.
 
-drifter = xoa.open_data_sample(
-    "gdp-6203641.csv", header=0, skiprows=[1], parse_dates=[2], index_col=2
+csv_name = xoa.get_data_sample("gdp-6203641.csv")
+drifter = pd.read_csv(
+    csv_name, header=0, skiprows=[1], parse_dates=[0], index_col=0, usecols=[2, 3, 4, 5, 6, 7]
 )
 
 # %%
 # Since the sampling is not that nice, we resample it to 3-hour intervals.
 
-drifter = drifter.resample("3H").mean()
+drifter = drifter.resample("3H").mean(numeric_only=True)
 
 # %%
 # We convert it to and :class:`xarray.Dataset`, fix the time coordinate and decode it.
@@ -204,7 +206,7 @@
 )
 plt.quiverkey(qv, 0.1, 1.06, 0.1, r"0.1 $m\,s^{-1}$", color="k", alpha=1, labelpos="E")
 plt.legend()
-plot_double_minimap(drifter);
+plot_double_minimap(drifter)
 
 # %%
 # The discrepancies between the lagrangian and mean eulerian currents highlight