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fix(plots/waveform1d): pandas import clean up, export curves with none skipped

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wyzula-jan
2024-02-25 18:06:33 +01:00
parent f06e652b82
commit 35cd4fd6f1
1 changed files with 6 additions and 10 deletions
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16
bec_widgets/widgets/plots/waveform1d.py
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@ -5,7 +5,7 @@ from typing import Literal, Optional, Any
import numpy as np import numpy as np
import pyqtgraph as pg import pyqtgraph as pg
from pydantic import Field, BaseModel, field_validator, ValidationError from pydantic import Field, BaseModel, ValidationError
from pyqtgraph import mkBrush from pyqtgraph import mkBrush
from qtpy import QtCore from qtpy import QtCore
from qtpy.QtCore import Signal as pyqtSignal from qtpy.QtCore import Signal as pyqtSignal
@ -17,11 +17,6 @@ from bec_lib.scan_data import ScanData
from bec_widgets.utils import Colors, ConnectionConfig, BECConnector, EntryValidator from bec_widgets.utils import Colors, ConnectionConfig, BECConnector, EntryValidator
from bec_widgets.widgets.plots import BECPlotBase, WidgetConfig from bec_widgets.widgets.plots import BECPlotBase, WidgetConfig
try:
import pandas as pd
except ImportError:
pd = None
class SignalData(BaseModel): class SignalData(BaseModel):
"""The data configuration of a signal in the 1D waveform widget for x and y axis.""" """The data configuration of a signal in the 1D waveform widget for x and y axis."""
@ -703,10 +698,11 @@ class BECWaveform1D(BECPlotBase):
for curve in self.curves: for curve in self.curves:
x_data, y_data = curve.get_data() x_data, y_data = curve.get_data()
if output == "dict": if x_data is not None or y_data is not None:
data[curve.name()] = {"x": x_data.tolist(), "y": y_data.tolist()} if output == "dict":
elif output == "pandas" and pd is not None: data[curve.name()] = {"x": x_data.tolist(), "y": y_data.tolist()}
data[curve.name()] = pd.DataFrame({"x": x_data, "y": y_data}) elif output == "pandas" and pd is not None:
data[curve.name()] = pd.DataFrame({"x": x_data, "y": y_data})
if output == "pandas" and pd is not None: if output == "pandas" and pd is not None:
combined_data = pd.concat( combined_data = pd.concat(