CLIMATE-603 - Default example download to /tmp
Project: http://git-wip-us.apache.org/repos/asf/climate/repo Commit: http://git-wip-us.apache.org/repos/asf/climate/commit/75f8df69 Tree: http://git-wip-us.apache.org/repos/asf/climate/tree/75f8df69 Diff: http://git-wip-us.apache.org/repos/asf/climate/diff/75f8df69 Branch: refs/heads/master Commit: 75f8df695a17e0e13d40c1d1d8870ff6cf0a1ea2 Parents: a0f0615 Author: Michael Joyce <[email protected]> Authored: Mon Mar 16 13:40:24 2015 -0700 Committer: Michael Joyce <[email protected]> Committed: Mon Mar 16 13:40:24 2015 -0700 ---------------------------------------------------------------------- examples/simple_model_to_model_bias.py | 23 ++++++++++------------- 1 file changed, 10 insertions(+), 13 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/climate/blob/75f8df69/examples/simple_model_to_model_bias.py ---------------------------------------------------------------------- diff --git a/examples/simple_model_to_model_bias.py b/examples/simple_model_to_model_bias.py index 32ecf15..635e872 100644 --- a/examples/simple_model_to_model_bias.py +++ b/examples/simple_model_to_model_bias.py @@ -35,24 +35,21 @@ FILE_2 = "AFRICA_UC-WRF311_CTL_ERAINT_MM_50km-rg_1989-2008_tasmax.nc" # Filename for the output image/plot (without file extension) OUTPUT_PLOT = "wrf_bias_compared_to_knmi" -# Download necessary NetCDF files if not present -if path.exists(FILE_1): - pass -else: - urllib.urlretrieve(FILE_LEADER + FILE_1, FILE_1) +FILE_1_PATH = path.join('/tmp', FILE_1) +FILE_2_PATH = path.join('/tmp', FILE_2) -if path.exists(FILE_2): - pass -else: - urllib.urlretrieve(FILE_LEADER + FILE_2, FILE_2) +if not path.exists(FILE_1_PATH): + urllib.urlretrieve(FILE_LEADER + FILE_1, FILE_1_PATH) +if not path.exists(FILE_2_PATH): + urllib.urlretrieve(FILE_LEADER + FILE_2, FILE_2_PATH) """ Step 1: Load Local NetCDF Files into OCW Dataset Objects """ -print("Loading %s into an OCW Dataset Object" % (FILE_1,)) -knmi_dataset = local.load_file(FILE_1, "tasmax") +print("Loading %s into an OCW Dataset Object" % (FILE_1_PATH,)) +knmi_dataset = local.load_file(FILE_1_PATH, "tasmax") print("KNMI_Dataset.values shape: (times, lats, lons) - %s \n" % (knmi_dataset.values.shape,)) -print("Loading %s into an OCW Dataset Object" % (FILE_2,)) -wrf_dataset = local.load_file(FILE_2, "tasmax") +print("Loading %s into an OCW Dataset Object" % (FILE_2_PATH,)) +wrf_dataset = local.load_file(FILE_2_PATH, "tasmax") print("WRF_Dataset.values shape: (times, lats, lons) - %s \n" % (wrf_dataset.values.shape,)) """ Step 2: Temporally Rebin the Data into an Annual Timestep """
