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Migrated code from Matplotlib to Plotly #2

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Migrated code from Matplotlib to Plotly #2

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59 changes: 25 additions & 34 deletions data/Fidas_dashboard.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -33,8 +33,8 @@
"%matplotlib ipympl\n",
"import matplotlib.pyplot as plt\n",
"from IPython.display import display, HTML, FileLink\n",
"display(HTML(\"<style>.jp-Cell {padding: 0 !important; }</style>\"))\n",
"display(HTML(\"<style>.jp-Notebook {padding: 0 !important; }</style>\"))\n",
"# display(HTML(\"<style>.jp-Cell {padding: 0 !important; }</style>\"))\n",
"# display(HTML(\"<style>.jp-Notebook {padding: 0 !important; }</style>\"))\n",
"from netCDF4 import Dataset\n",
"import datetime\n",
"import dateutil\n",
Expand Down Expand Up @@ -98,17 +98,6 @@
{
"cell_type": "code",
"execution_count": 5,
"id": "49ce0634-1853-445d-b0b2-82809edb61e7",
"metadata": {},
"outputs": [],
"source": [
"#----------------------------------------------------------------------------------------------------------------\n",
"#***Classes and widgets for the time series tab***"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "144ed1c6-c2dc-4285-955f-25393df1756f",
"metadata": {
"tags": []
Expand Down Expand Up @@ -169,7 +158,7 @@
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": 6,
"id": "560d141b-6b7b-4442-b8b1-6d36b6b59ecb",
"metadata": {},
"outputs": [],
Expand Down Expand Up @@ -232,6 +221,8 @@
" ax = self.ax.twinx()\n",
" ax._Fidas_dashboard_description = b.description\n",
" self.axes.append(ax)\n",
" if i == 1:\n",
" ax.spines['right'].set_position(('outward', 0))\n",
" if i == 2:\n",
" ax.spines['right'].set_position(('outward', 50))\n",
" if i == 3:\n",
Expand Down Expand Up @@ -276,7 +267,7 @@
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": 7,
"id": "4640948b-cff0-4f39-a589-5d4cbabda737",
"metadata": {},
"outputs": [],
Expand All @@ -288,7 +279,7 @@
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": 8,
"id": "3742c3da-6126-4608-9654-a2305d066910",
"metadata": {},
"outputs": [],
Expand All @@ -303,7 +294,7 @@
},
{
"cell_type": "code",
"execution_count": 10,
"execution_count": 9,
"id": "ccc11162-824c-475d-91f5-18d7d3044f8e",
"metadata": {},
"outputs": [],
Expand All @@ -325,7 +316,7 @@
},
{
"cell_type": "code",
"execution_count": 11,
"execution_count": 10,
"id": "b818dd03-4bed-40bc-8088-9ff0d81dac79",
"metadata": {},
"outputs": [],
Expand All @@ -348,7 +339,7 @@
},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": 11,
"id": "34d2529c-d678-4bc9-bcc5-75871be6f00d",
"metadata": {},
"outputs": [],
Expand All @@ -361,7 +352,7 @@
},
{
"cell_type": "code",
"execution_count": 13,
"execution_count": 12,
"id": "cf49e63b-65aa-4751-a1b0-5a59e312eded",
"metadata": {},
"outputs": [],
Expand All @@ -372,7 +363,7 @@
},
{
"cell_type": "code",
"execution_count": 14,
"execution_count": 13,
"id": "d516d469-b9e0-453a-aec6-16d66e813260",
"metadata": {},
"outputs": [],
Expand Down Expand Up @@ -416,7 +407,7 @@
},
{
"cell_type": "code",
"execution_count": 15,
"execution_count": 14,
"id": "1fad0edc-8a39-44c7-be26-3fb2064985ac",
"metadata": {},
"outputs": [],
Expand All @@ -426,7 +417,7 @@
},
{
"cell_type": "code",
"execution_count": 16,
"execution_count": 15,
"id": "bd8571dd-4c6f-4d46-9290-923de41dff77",
"metadata": {
"tags": []
Expand Down Expand Up @@ -566,7 +557,7 @@
},
{
"cell_type": "code",
"execution_count": 17,
"execution_count": 16,
"id": "da33c743-1954-432a-9b8a-79ff9c676c0f",
"metadata": {},
"outputs": [],
Expand All @@ -577,7 +568,7 @@
},
{
"cell_type": "code",
"execution_count": 18,
"execution_count": 17,
"id": "015aed93-6148-45a6-a469-269107471d5a",
"metadata": {},
"outputs": [],
Expand All @@ -588,7 +579,7 @@
},
{
"cell_type": "code",
"execution_count": 19,
"execution_count": 18,
"id": "1c9189ba-678e-41da-b658-e75393ba640b",
"metadata": {},
"outputs": [],
Expand All @@ -615,7 +606,7 @@
},
{
"cell_type": "code",
"execution_count": 20,
"execution_count": 19,
"id": "bf9b4523-9cb0-4a40-a97b-92229dc01888",
"metadata": {},
"outputs": [],
Expand All @@ -642,7 +633,7 @@
},
{
"cell_type": "code",
"execution_count": 21,
"execution_count": 20,
"id": "abfc4e41-a195-4b42-b315-099f569c4ce3",
"metadata": {},
"outputs": [],
Expand All @@ -652,7 +643,7 @@
},
{
"cell_type": "code",
"execution_count": 22,
"execution_count": 21,
"id": "458256ba-3814-443a-86b7-9fe84a23782b",
"metadata": {},
"outputs": [],
Expand All @@ -663,7 +654,7 @@
},
{
"cell_type": "code",
"execution_count": 23,
"execution_count": 22,
"id": "525010df-7614-4cbe-9b52-da7f7c487585",
"metadata": {},
"outputs": [],
Expand Down Expand Up @@ -694,7 +685,7 @@
},
{
"cell_type": "code",
"execution_count": 24,
"execution_count": 23,
"id": "1b725b95-002f-4e94-9d3b-b320865eab2a",
"metadata": {},
"outputs": [],
Expand All @@ -705,14 +696,14 @@
},
{
"cell_type": "code",
"execution_count": 25,
"execution_count": 24,
"id": "cff760c5-e180-486d-b6a0-f76e93a69640",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "faaecf1adc554d6c834ce3896bd22ff1",
"model_id": "50e76cfb937c47aba7b9b012305509fc",
"version_major": 2,
"version_minor": 0
},
Expand Down Expand Up @@ -752,7 +743,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.2"
"version": "3.7.5"
}
},
"nbformat": 4,
Expand Down
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