def test_data_velib_simulation(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__",
LogFile="temp_hal_log2.txt")
fold = os.path.abspath(os.path.split(__file__)[0])
data = os.path.join(fold, "data")
for speed in (10, 15):
for bike in (1, 2, 3, 5, 10):
df = DataVelibCollect.to_df(data)
dfp, dfs = DataVelibCollect.simulate(df,
bike,
speed,
fLOG=fLOG)
dfp.to_csv("out_simul_bike_nb{0}_sp{1}_path.txt".format(
bike, speed),
sep="\t",
index=False)
dfs.to_csv("out_simul_bike_nb{0}_sp{1}_data.txt".format(
bike, speed),
sep="\t",
index=False)
if __name__ != "__main__":
return
def test_data_velib_simulation(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__",
LogFile="temp_hal_log2.txt")
fold = os.path.abspath(os.path.split(__file__)[0])
data = os.path.join(fold, "data")
for speed in (10, 15):
for bike in (1, 2, 3, 5, 10):
df = DataVelibCollect.to_df(data)
dfp, dfs = DataVelibCollect.simulate(
df, bike, speed, fLOG=fLOG)
dfp.to_csv(
"out_simul_bike_nb{0}_sp{1}_path.txt".format(
bike,
speed),
sep="\t",
index=False)
dfs.to_csv(
"out_simul_bike_nb{0}_sp{1}_data.txt".format(
bike,
speed),
sep="\t",
index=False)
if __name__ != "__main__":
return
def test_data_velib_animation(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__",
LogFile="temp_hal_log2.txt")
fold = os.path.abspath(os.path.split(__file__)[0])
data = os.path.join(fold, "data")
if "travis" in sys.executable:
return
try:
from JSAnimation import IPython_display
except ImportError:
import pymyinstall
pymyinstall.ModuleInstall(
"JSAnimation",
"github",
"jakevdp").install(
temp_folder="c:\\temp")
df = DataVelibCollect.to_df(data)
anime = DataVelibCollect.js_animation(df)
from JSAnimation import HTMLWriter
wr = HTMLWriter(embed_frames=False)
anime.save(os.path.join(fold, "out_animation.html"), writer=wr)
def test_data_velib_animation(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__",
LogFile="temp_hal_log2.txt")
fold = os.path.abspath(os.path.split(__file__)[0])
data = os.path.join(fold, "data")
if "travis" in sys.executable:
return
from pymyinstall.installhelper.install_cmd_helper import is_conda_distribution
if is_conda_distribution():
# not tested on anaconda
return
df = DataVelibCollect.to_df(data)
DataVelibCollect.js_animation(df)
def test_data_velib_animation(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__",
LogFile="temp_hal_log2.txt")
fold = os.path.abspath(os.path.split(__file__)[0])
data = os.path.join(fold, "data")
if "travis" in sys.executable:
return
from pymyinstall.installhelper.install_cmd_helper import is_conda_distribution
if is_conda_distribution():
# not tested on anaconda
return
df = DataVelibCollect.to_df(data)
DataVelibCollect.js_animation(df)
def test_data_velib_contract(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__",
LogFile="temp_hal_log2.txt")
fold = os.path.abspath(os.path.split(__file__)[0])
data = os.path.join(fold, "data")
df = DataVelibCollect.to_df(data)
# fLOG(df.head())
assert len(df) > 0
stations = df[["name", "lat", "lng"]]
gr = stations.groupby(["name", "lat", "lng"], as_index=False).sum()
# fLOG(gr.head())
assert len(gr) >= 30
df.to_csv(os.path.join(fold, "out_data.txt"), sep="\t", index=False)
dt = datetime.datetime(2014, 5, 22, 11, 49, 27, 523164)
sub = df[df["collect_date"] == dt]
fig, ax, plt = DataVelibCollect.draw(sub)
def test_data_velib_contract(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__",
LogFile="temp_hal_log2.txt")
fold = os.path.abspath(os.path.split(__file__)[0])
data = os.path.join(fold, "data")
df = DataVelibCollect.to_df(data)
# fLOG(df.head())
assert len(df) > 0
stations = df[["name", "lat", "lng"]]
gr = stations.groupby(["name", "lat", "lng"], as_index=False).sum()
# fLOG(gr.head())
assert len(gr) >= 30
df.to_csv(os.path.join(fold, "out_data.txt"), sep="\t", index=False)
dt = datetime.datetime(2014, 5, 22, 11, 49, 27, 523164)
sub = df[df["collect_date"] == dt]
fig, ax, plt = DataVelibCollect.draw(sub)