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  • Create interactive chart with matplotlib and ipywidgets

    Apr 18, 2021 · 7 min read · ipywidgets python matplotlib  ·
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    Create interactive chart with matplotlib and ipywidgets

    ipywidgets are interactive HTML elements that can be used in Jupyter Notebooks to interact with outputs such as tables and charts. This article briefly introduces ipywidgets and uses them to change the rolling day period in a chart for the rolling average of deaths from covid-19.

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Eric Callanan

Lifelong learner, Software Engineering Manager, Passionate, Curious
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SWIFTUI 69 PYTHON 28 SWIFT 13 PANDAS 12 PATH 12 BAR-CHART 10 MVVM 8 MATPLOTLIB 7 PLOTLY 7 ANIMATION 6 CANVAS 6 CHART 6 COVID-19 5 SHAPE 5
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2D2 3D2 ACTIVITY-RING1 ADDCURVE1 AI1 ALGORITHM1 ANGULARGRADIENT1 ANIMATABLEDATA4 ANIMATION6 AREA-CHART1 ARRAY1 ARRAYSLICE1 ASYNC3 ASYNC-LET1 AWAIT3 AXIS2 BAR-CHART10 BUTTON1 BUTTONSTYLE1 CANCEL1 CANVAS6 CARD1 CHART6 CHATGPT1 CIRCLE1 COLOR1 COMPACTMAP1 CONCAT1 COVID2 COVID-195 CROSS-PRODUCT1 DATAFRAME3 DEPENDENCY-INJECTION1 DI1 DICTIONARY1 DIVISION1 DOT-PRODUCT1 ENUMERATE1 FIBONACCI1 FILE1 FILTER1 FLATMAP1 FLIP1 FLOOR1 FOREACH1 FORM1 GEOMETRYREADER1 GEOPANDAS1 GEOPLOT1 HSTACK1 ILOC1 IMAGE2 INDEX1 IPYWIDGETS1 ITERATE1 JSON2 JSONDECODER1 LINE-CHART4 LIST1 LOC1 LOOP1 MACOS1 MAP1 MAPVALUES1 MATHPLOTLIB4 MATPLOTLIB7 MATTHEW1 MINIMAX3 MODAL1 MONTY-HALL3 MVVM8 NAVIGATION2 NAVIGATIONSPLITVIEW1 NSSAVEPANEL1 PALETTE1 PANDAS12 PATH12 PERFORMANCE2 PHOTO1 PIE-CHART1 PLOTLY7 POLYGON1 PREFIX1 PROBABILITY3 PROGRESS1 PROGRESSVIEW1 PUZZLE1 PYTHON28 QR-CODE1 RECURSION1 REDUCE1 ROMAN-NUMERALS1 SCROLL1 SHADING1 SHAPE5 SLIDER2 SPEED1 STAR3 STYLE1 SWIFT13 SWIFTLINT1 SWIFTUI69 TABULAR-DATA1 TABVIEW1 TASK3 TDD4 TEXT2 TIC-TAC-TOE5 TIMELINEVIEW4 TIMING1 UI-TESTING1 UNIT-TEST1 UNIT-TESTING1 USERDEFAULTS1 VECTOR4 VECTORARITHMETIC4 VSTACK1 WHEEL1 WHERE1 ZIP1 ZSTACK1
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