requirements.txt

app.py

@@ -0,0 +1,167 @@
+import math
+
+import pandas as pd
+
+import gradio as gr
+import datetime
+import numpy as np
+
+
+def get_time():
+    return datetime.datetime.now()
+
+
+plot_end_1 = 2 * math.pi
+plot_end_2 = 2 * math.pi
+plot_end_3 = 2 * math.pi
+
+
+def get_plot_v1(period_v1=1,xscale_v1 = 1,yscale_v1 = 1):
+    global plot_end_1
+    x = np.arange(plot_end_1 - 2 * math.pi, plot_end_1, 0.02)
+    #y = np.sin(2 * math.pi * period_v1 * x)
+    y = 2.02
+    vMean = 2.02
+    vPp = 0
+    #y = np.float64(0.5)   
+    update = gr.LinePlot.update(
+        value=pd.DataFrame({"x": x, "y": y}),
+        x="x",
+        y="y",
+        title= f"V mean = {vMean},Vpp = {vPp}" ,
+        width=500,
+        height=350,
+        y_lim= [ -4,4],
+        y_title = 'V'
+    )
+    plot_end_1 += 2 * math.pi
+    if plot_end_1 > 1000:
+        plot_end_1 = 2 * math.pi
+    return update
+
+def get_plot_i1(period_i1=1,xscale_i1 = 1,yscale_i1 = 1):
+    global plot_end_2
+    x = np.arange(plot_end_2 - 2 * math.pi, plot_end_2, 0.02)
+    #y = np.sin(2 * math.pi * period_i1 * x)
+    #y = 0
+    iMean = 0
+    iPp = 0
+    y = np.float64(0)   
+    update = gr.LinePlot.update(
+        value=pd.DataFrame({"x": x, "y": y}),
+        x="x",
+        y="y",
+        title= f"I mean = {iMean},Ipp = {iPp}" ,
+        width=500,
+        height=350,
+        y_lim= [ -100,100],
+        y_title = 'mA'
+    )
+    plot_end_2 += 2 * math.pi
+    if plot_end_2 > 1000:
+        plot_end_2 = 2 * math.pi
+    return update
+
+def get_plot_3(period_3=1,xscale_3 = 1,yscale_3 = 1):
+    global plot_end_3
+    x = np.arange(plot_end_3 - 2 * math.pi, plot_end_3, 0.02)
+    y = 0
+    #y = np.sin(2 * math.pi * period_3 * x)
+    xMean = 0
+    xPp = 0
+    #y = np.float64(0.5)   
+    update = gr.LinePlot.update(
+        value=pd.DataFrame({"x": x, "y": y}),
+        x="x",
+        y="y",
+        title= f" Mean Value = {xMean}, PP value = {xPp}" ,
+        width=600,
+        height=350,
+        y_lim= [ -4,4],
+        y_title = 'V'
+    )
+    plot_end_3 += 2 * math.pi
+    if plot_end_3 > 1000:
+        plot_end_3 = 2 * math.pi
+    return update
+
+
+with gr.Blocks() as demo:
+    with gr.Row():
+        with gr.Column():
+            gr.Textbox(
+                "Voltage Channel 1",
+                label="",
+            )
+            period_v1 = gr.Slider(
+                label="Period of plot", value=1, minimum=0, maximum=10, step=1
+            )
+            xscale_v1 = gr.Slider(
+                label="xscale", value=1, minimum=0, maximum=10, step=1
+            )
+            yscale_v1 = gr.Slider(
+                label="yscale", value=1, minimum=0, maximum=10, step=1
+            )
+
+            plot_v1 = gr.LinePlot(show_label= False )
+
+        with gr.Column():
+            gr.Textbox(
+                "Current Channel 1",
+                label="",
+            )
+            period_i1 = gr.Slider(
+                label="Period of plot", value=1, minimum=0, maximum=10, step=1
+            )
+            xscale_i1 = gr.Slider(
+                label="xscale", value=1, minimum=0, maximum=10, step=1
+            )
+            yscale_i1 = gr.Slider(
+                label="yscale", value=1, minimum=0, maximum=10, step=1
+            )
+
+            plot_i1 = gr.LinePlot(show_label= False )
+
+    with gr.Row():
+        with gr.Column():
+            #gr.inputs.Toggle(default=False, label="Select option A or B")
+            gr.Dropdown(
+             ["Voltage Channel 2","Current channel 2"], type = "index", multiselect= False, label="Select I or V")
+            # gr.Textbox(
+            #     "I/V Channel 2",
+            #     label="",
+            # )
+            period_3 = gr.Slider(
+                label="Period of plot", value=1, minimum=0, maximum=10, step=1
+            )
+            xscale_3 = gr.Slider(
+                label="xscale", value=1, minimum=0, maximum=10, step=1
+            )
+            yscale_3 = gr.Slider(
+                label="yscale", value=1, minimum=0, maximum=10, step=1
+            )
+
+            plot_3 = gr.LinePlot(show_label= False )
+
+ 
+    demo.load(lambda: datetime.datetime.now(), None, every=1)
+    dep1 = demo.load(get_plot_i1, None, plot_i1, every=1)
+    period_i1.change(get_plot_i1, period_i1, plot_i1, every=1, cancels=[dep1])
+    xscale_i1.change(get_plot_i1, xscale_i1, plot_i1, every=1, cancels=[dep1])
+    yscale_i1.change(get_plot_i1, yscale_i1, plot_i1, every=1, cancels=[dep1])
+
+
+    demo.load(lambda: datetime.datetime.now(), None, every=1)
+    dep = demo.load(get_plot_v1, None, plot_v1, every=1)
+    period_v1.change(get_plot_v1, period_v1, plot_v1, every=1, cancels=[dep])
+    xscale_v1.change(get_plot_v1, xscale_v1, plot_v1, every=1, cancels=[dep])
+    yscale_v1.change(get_plot_v1, yscale_v1, plot_v1, every=1, cancels=[dep])
+
+    demo.load(lambda: datetime.datetime.now(), None, every=1)
+    dep2 = demo.load(get_plot_3, None, plot_3, every=1)
+    period_3.change(get_plot_3, period_3, plot_3, every=1, cancels=[dep2])
+    xscale_3.change(get_plot_3, xscale_3, plot_3, every=1, cancels=[dep2])
+    yscale_3.change(get_plot_3, yscale_3, plot_3, every=1, cancels=[dep2])
+
+if __name__ == "__main__":
+    demo.queue().launch(debug = True)