def openData(self, path, concat=False):
"""
It opens the netcdf of the path.
Parameters
----------
path: str or WaterFrame
Path where the file is or WaterFrame object.
concat: bool, optional (concat = False)
It adds the new dataframe to the current dataframe.
Returns
-------
True/False: bool
It indicates if the operation is ok.
"""
self.msg2Statusbar.emit("Opening data")
if isinstance(path, str):
# Obtain type of file
extension = path.split(".")[-1]
# Init ok
ok = False
wf_new = WaterFrame()
if extension == "nc":
ok = wf_new.from_netcdf(path)
elif extension == "pkl":
ok = wf_new.from_pickle(path)
elif extension == "csv":
try:
wf_new = EGIM.from_raw_csv("EMSO-Azores", path)
ok = True
except:
ok = False
if ok:
# Check if we want actual data
if not concat:
self.newWaterFrame()
self.wf.concat(wf_new)
self.msg2TextArea.emit("Working with file {}".format(path))
# Add metadata information into metadataList
self.addMetadata(self.wf.metadata)
# Add other information
self.otherInfoPlainText.setPlainText(repr(self.wf))
# Add data information into dataList
self.addData(self.wf.data)
# Plot QC
self.addQCBarPlot()
self.msg2Statusbar.emit("Ready")
return True
else:
self.msg2Statusbar.emit("Error opening data")
return False
else:
# Path is a WaterFrame
# Check if there is no data in the waterframe
if path.data.empty:
return False
# Check if it is a dataframe of an acoustic data.
# In this case, we are going to delete the previous dataframe.
if "Sequence" in self.wf.data.keys():
self.wf.clear()
self.wf.concat(path)
# Add data information into dataList
self.addData(self.wf.data)
self.addMetadata(self.wf.metadata)
# Plot QC
self.addQCBarPlot()
return True
def open_data(self, path, concat=False):
"""
It opens the netcdf of the path.
Parameters
----------
path: str or WaterFrame
Path where the file is or WaterFrame object.
concat: bool, optional (concat = False)
It adds the new dataframe to the current dataframe.
Returns
-------
True/False: bool
It indicates if the operation is ok.
"""
debug = True # Variable for debug reasons
if debug:
print("In PlotSplitter.open_data():")
print(" - Emit msg2statusbar: Opening data")
self.msg2statusbar.emit("Opening data")
if isinstance(path, str):
if debug:
print(" - path is a string:", path)
# Obtain type of file
extension = path.split(".")[-1]
# Init ok
ok = False # pylint: disable=C0103
wf_new = WaterFrame()
if extension == "nc":
ok = wf_new.from_netcdf(path) # pylint: disable=C0103
elif extension == "pkl":
ok = wf_new.from_pickle(path) # pylint: disable=C0103
if ok:
# Check if we want actual data
if not concat:
self.new_waterframe()
self.wf.concat(wf_new)
self.msg2TextArea.emit("Working with file {}".format(path))
# Add metadata information into metadataList
self.add_metadata(self.wf.metadata)
# Add other information
self.other_info_plain_text.setPlainText(repr(self.wf))
# Add data information into data_list
self.add_data(self.wf.data)
# Plot QC
self.add_qc_bar_plot()
self.msg2statusbar.emit("Ready")
if debug:
print(" - Emit msg2statusbar: Ready")
print(" - Exit from PlotSplitter.open_data()")
return True
else:
self.msg2statusbar.emit("Error opening data")
if debug:
print(" - Emit msg2statusbar: Error opening data")
print(" - Exit from PlotSplitter.open_data()")
return False
else:
# Path is a WaterFrame
if debug:
print(" - path is a WaterFrame")
print(path)
# Check if there is no data in the waterframe
if path.data.empty:
return False
# Check if it is a dataframe of an acoustic data.
# In this case, we are going to delete the previous dataframe.
if "Sequence" in self.wf.data.keys():
self.wf.clear()
self.wf.concat(path)
# Add data information into data_list
self.add_data(self.wf.data)
self.add_metadata(self.wf.metadata)
# Add other information
self.other_info_plain_text.setPlainText(repr(self.wf))
# Plot QC
self.add_qc_bar_plot()
return True
from mooda import WaterFrame
import matplotlib.pyplot as plt
import matplotlib.style as style
style.use('ggplot')
path = r"./docs/example_data/bad_temp.pkl"
wf = WaterFrame()
wf.from_pickle(path)
print(wf.parameters())
wf.reset_flag(key='TEMP')
wf.qcplot('TEMP')
plt.show()
wf.spike_test(key='TEMP', flag=4)
wf.range_test(key='TEMP', flag=2)
wf.flat_test(key='TEMP', flag=3)
wf.flag2flag(key="TEMP")
wf.qcplot('TEMP')
plt.show()
wf.qcbarplot('TEMP')
plt.show()