def test_double_cols(csv_path, func_name):
df = pd.read_csv(csv_path, delimiter='|', header=None)
data_shapely_1 = df[0].apply(shapely.wkt.loads)
data_shapely_2 = df[1].apply(shapely.wkt.loads)
data_col1 = gpd.GeoSeries(data_shapely_1)
data_col2 = gpd.GeoSeries(data_shapely_2)
start_time = time.time()
try:
exec("data_col1.%s(data_col2)" % func_name)
except AttributeError:
print("geopandas has no attribute ", func_name)
pass
end_time = time.time()
with open(
output_path + "/geopandas/" + data_num_path + "/" + func_name +
".txt", 'a+') as f:
f.writelines("geopandas %s time is:" % func_name +
str(end_time - start_time) + "\n")
arctern_data_col1 = arctern.GeoSeries(df[0])
arctern_data_col2 = arctern.GeoSeries(df[1])
start_time = time.time()
try:
exec("arctern_data_col1.%s(arctern_data_col2)" % func_name)
except AttributeError:
print("arctern has no attribute ", func_name)
pass
end_time = time.time()
with open(
output_path + "/arctern/" + data_num_path + "/" + func_name +
".txt", 'a+') as f:
f.writelines("arctern %s time is:" % func_name +
str(end_time - start_time) + "\n")
def test_simplify_preserve_topology(csv_path, func_name):
df = pd.read_csv(csv_path, delimiter='|', header=None)
data_shapely = df[0].apply(shapely.wkt.loads)
data = gpd.GeoSeries(data_shapely)
start_time = time.time()
try:
exec("data.simplify(1, preserve_topology=True)")
except AttributeError:
print("geopandas has no attribute ", func_name)
pass
end_time = time.time()
with open(
output_path + "/geopandas/" + data_num_path + "/" + func_name +
".txt", 'a+') as f:
f.writelines("geopandas %s time is:" % func_name +
str(end_time - start_time) + "\n")
arctern_data = arctern.GeoSeries(df[0])
start_time = time.time()
try:
exec("arctern_data.simplify_preserve_to_pology(1)")
except AttributeError:
print("arctern has no attribute ", func_name)
pass
end_time = time.time()
with open(
output_path + "/arctern/" + data_num_path + "/" + func_name +
".txt", 'a+') as f:
f.writelines("arctern %s time is:" % func_name +
str(end_time - start_time) + "\n")
def test_buffer(csv_path, func_name):
df = pd.read_csv(csv_path, delimiter='|', header=None)
data_shapely = df[0].apply(shapely.wkt.loads)
data = gpd.GeoSeries(data_shapely)
start_time = time.time()
try:
exec("data.buffer(1.2, resolution=30)")
except AttributeError:
print("geopandas has no attribute ", func_name)
pass
end_time = time.time()
with open(
output_path + "/geopandas/" + data_num_path + "/" + func_name +
".txt", 'a+') as f:
f.writelines("geopandas %s time is:" % func_name +
str(end_time - start_time) + "\n")
arctern_data = arctern.GeoSeries(df[0])
start_time = time.time()
try:
exec("arctern_data.buffer(1.2).to_wkt()")
except AttributeError:
print("arctern has no attribute ", func_name)
pass
end_time = time.time()
with open(
output_path + "/arctern/" + data_num_path + "/" + func_name +
".txt", 'a+') as f:
f.writelines("arctern %s time is:" % func_name +
str(end_time - start_time) + "\n")
def test_single_col_2(csv_path, func_name):
df = pd.read_csv(csv_path, delimiter='|', header=None)
print("geopandas has no attribute ", func_name)
arctern_data = arctern.GeoSeries(df[0])
start_time = time.time()
try:
exec("arctern_data.%s()" % func_name)
except AttributeError:
print("arctern has no attribute ", func_name)
pass
end_time = time.time()
with open(
output_path + "/arctern/" + data_num_path + "/" + func_name +
".txt", 'a+') as f:
f.writelines("arctern %s time is:" % func_name +
str(end_time - start_time) + "\n")