Data Visualisation

Data Visualisation/Bar Chart/BarChart.py

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+import plotly.graph_objects as go
+import numpy as np
+
+np.random.seed(42)
+
+# declaring size of arr
+size = 7
+
+x = [f'Product {i}' for i in range(size)]
+y = np.random.randint(low=0, high=100, size=size)
+
+# creating the Bar Chart
+fig = go.Figure(go.Bar(
+    x=x,
+    y=y,
+    text=y,
+    textposition='outside',
+    marker_color='indianred',
+    hovertemplate="%{x} : %{y} <extra></extra>",
+    showlegend=False,
+))
+
+# Modifying the tickangle of the xaxis, and adjusting width and height of the image
+fig.layout.template = 'plotly_dark'
+# Hiding y-axis labels
+layout_yaxis_visible = False
+layout_yaxis_showticklabels = False
+fig.update_layout(
+    xaxis_title='X Axis Title',
+    yaxis_title='Y Axis Title',
+    xaxis_tickangle=-45,
+    autosize=False,
+    width=600,
+    height=600,
+    margin=dict(l=50, r=50, b=100, t=100, pad=4)
+)
+# Removing the background grid and the Y-axis labels
+fig.update_yaxes(showgrid=False, showticklabels=False)
+
+fig.show()

Data Visualisation/Bubble Chart/BubbleChart.py

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+import plotly.graph_objects as go
+import numpy as np
+
+np.random.seed(1)
+
+# declaring size of arr
+size = 10
+size_arr = np.random.randint(low=50, high=600, size=size)
+
+x = np.random.randint(low=0, high=30, size=size)
+y = np.random.randint(low=0, high=20, size=size)
+
+fig = go.Figure(data=[go.Scatter(
+    x=x,
+    y=y,
+    mode='markers',
+    marker=dict(
+        size=size_arr,
+        sizemode='area',
+        sizeref=2.*max(size_arr)/(40.**2),
+        sizemin=4
+    ),
+    hovertemplate=" x : %{x} <br> y : %{y} <br>"
+)])
+
+# Adjusting width and height of the image
+fig.layout.template = 'plotly_dark'
+fig.update_layout(
+    title='Bubble Chart',
+    xaxis_title='X Axis Title',
+    yaxis_title='Y Axis Title',
+    autosize=False,
+    width=600,
+    height=600,
+    margin=dict(l=50, r=50, b=100, t=100, pad=4)
+)
+
+
+fig.show()

Data Visualisation/Contour Plots/ContourPlots.py

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+import plotly.graph_objects as go
+import numpy as np
+
+# X , Y , Z cordinates
+x_cord = np.arange(0, 50, 2)
+y_cord = np.arange(0, 50, 2)
+z_function = np.sin((x_cord + y_cord)/2)
+
+fig = go.Figure(data=go.Contour(x=x_cord,
+                                y=y_cord,
+                                z=z_function,
+                                colorscale='darkmint',
+                                contours=dict(
+                                    showlabels=False,  # show labels on contours
+                                    labelfont=dict(  # label font properties
+                                        size=12,
+                                        color='white',
+                                    )
+                                ),
+                                colorbar=dict(
+                                    thickness=25,
+                                    thicknessmode='pixels',
+                                    len=1.0,
+                                    lenmode='fraction',
+                                    outlinewidth=0,
+                                    title='Title',
+                                    titleside='right',
+                                    titlefont=dict(
+                                        size=14,
+                                        family='Arial, sans-serif')
+
+                                ),
+
+                                )
+                )
+
+fig.update_layout(
+    title='Contour Plot',
+    xaxis_title='X Axis Title',
+    yaxis_title='Y Axis Title',
+    autosize=False,
+    width=900,
+    height=600,
+    margin=dict(l=50, r=50, b=100, t=100, pad=4)
+)
+
+fig.layout.template = 'plotly_dark'
+fig.show()

Data Visualisation/Funnel Chart/FunnelChart.py

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+from plotly import graph_objects as go
+
+fig = go.Figure()
+
+fig.add_trace(go.Funnel(
+    name='India',
+    y=["McDonalds", "Dominoz", "PizzaHut",
+        "Subway", "MadOverDonuts", "Keventers"],
+    x=[150, 140, 40, 50, 40, 20],
+    textposition="inside",
+    textinfo="value+percent initial"))
+
+fig.add_trace(go.Funnel(
+    name='Bangladesh',
+    orientation="h",
+    y=["McDonalds", "Dominoz", "PizzaHut", "Subway"],
+    x=[50, 60, 40, 30],
+    textposition="inside",
+    textinfo="value+percent previous"))
+
+fig.add_trace(go.Funnel(
+    name='SriLanka',
+    orientation="h",
+    y=["McDonalds", "Dominoz", "PizzaHut", "Subway", "MadOverDonuts"],
+    x=[90, 70, 50, 30, 10],
+    textposition="outside",
+    textinfo="value+percent total"))
+
+fig.update_layout(
+    title="Funnel Chart for Food Sales in Asian Countries",
+    showlegend=True
+)
+fig.layout.template = 'plotly_dark'
+fig.show()

Data Visualisation/Heat Map/HeatMap.py

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+import plotly.express as px
+import numpy as np
+
+np.random.seed(42)
+
+# declaring the size of an array
+rows = 5
+columns = 3
+
+data = np.random.randint(low=0, high=50, size=(columns, rows))
+
+fig = px.imshow(data,
+                labels=dict(x="X Axis Title", y="Y Axis Title",
+                            color="Productivity"),
+                x=[f'Product {i}' for i in range(rows)],
+                y=[f'Type {i}' for i in range(columns)],
+                )
+
+# Modifying the tickangle of the xaxis, and adjusting width and height of the image
+fig.layout.template = 'plotly_dark'
+fig.update_xaxes(side="top")
+fig.update_layout(
+    title='Heat Map ',
+    xaxis_tickangle=-45,
+    autosize=False,
+    width=600,
+    height=600,
+    margin=dict(l=50, r=50, b=100, t=100, pad=4)
+)
+fig.show()

Data Visualisation/Histogram Plot/HistogramPlot.py

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+import plotly.express as px
+import numpy as np
+
+np.random.seed(0)
+
+# declaring size of arr
+size = 50
+
+data = np.random.randint(low=0, high=150, size=size)
+# create the bins
+fig = px.histogram(x=data, labels={'x': 'data', 'y': 'count'})
+
+fig.layout.template = 'plotly_dark'
+fig.update_layout(
+    title='Histogram',
+    xaxis_title='X Axis Title',
+    yaxis_title='Y Axis Title',
+    autosize=False,
+    width=600,
+    height=600,
+    margin=dict(l=50, r=50, b=100, t=100, pad=4)
+)
+fig.show()

Data Visualisation/Line Chart/LineChart.py

@@ -0,0 +1,33 @@
+import plotly.graph_objects as go
+import numpy as np
+
+
+def create_line_chart(x_data, y_data):
+    fig = go.Figure(data=go.Scatter(x=x_data, y=y_data))
+
+    # Modifying the tickangle of the xaxis, and adjusting width and height of the image
+    fig.layout.template = 'plotly_dark'
+    fig.update_layout(
+        title='Line Chart',
+        xaxis_title='X Axis Title',
+        yaxis_title='Y Axis Title',
+        xaxis_tickangle=-45,
+        autosize=False,
+        width=600,
+        height=600,
+        margin=dict(l=50, r=50, b=100, t=100, pad=4)
+    )
+    fig.show()
+
+
+if __name__ == "__main__":
+    np.random.seed(42)
+
+    # Generating sample data
+    x_data = np.arange(10)
+    y_data = x_data ** 2
+
+    try:
+        create_line_chart(x_data, y_data)
+    except Exception as e:
+        print("An error occurred:", str(e))

Data Visualisation/Pie Chart/PieChart.py

@@ -0,0 +1,28 @@
+import plotly.graph_objects as go
+import numpy as np
+
+np.random.seed(42)
+
+# declaring size of arr
+size = 7
+
+x = [f'Product {i}' for i in range(size)]
+y = np.random.randint(low=0, high=100, size=size)
+
+# creating a Pie Chart
+fig = go.Figure(data=[go.Pie(labels=x, values=y)])
+
+# Adjusting width and height of the image
+fig.layout.template = 'plotly_dark'
+# To display labels with the percentage
+fig.update_traces(textposition='inside', textinfo='percent+label')
+fig.update_layout(
+    title='Pie Chart',
+    xaxis_title='X Axis Title',
+    yaxis_title='Y Axis Title',
+    autosize=False,
+    width=600,
+    height=600,
+    margin=dict(l=50, r=50, b=100, t=100, pad=4)
+)
+fig.show()

Data Visualisation/Scatter Plot/ScatterPlot.py

@@ -0,0 +1,25 @@
+import plotly.express as px
+import numpy as np
+
+np.random.seed(42)
+
+# declaring size of arr
+size = 100
+
+x = np.random.randint(low=0, high=100, size=size)
+y = np.random.randint(low=0, high=100, size=size)
+
+fig = px.scatter(x=x, y=y)
+
+# Adjusting width and height of the image
+fig.layout.template = 'plotly_dark'
+fig.update_layout(
+    title='Scatter Plot',
+    xaxis_title='X Axis Title',
+    yaxis_title='Y Axis Title',
+    autosize=False,
+    width=600,
+    height=600,
+    margin=dict(l=50, r=50, b=100, t=100, pad=4)
+)
+fig.show()

Data Visualisation/Ternary Plots/TernaryPlots.py

@@ -0,0 +1,30 @@
+import plotly.express as px
+import plotly.graph_objects as go
+
+df = px.data.election()
+
+fig = go.Figure(go.Scatterternary({
+    'mode': 'markers',
+    'a': df['Joly'],
+    'b': df['Coderre'],
+    'c': df['Bergeron'],
+    'marker': {
+        'color': 'green',
+        'size': 14,
+    },
+
+}))
+fig.update_layout({
+    'title': 'Ternary Scatter Plot',
+    'ternary':
+        {
+            'sum': 1,
+            'aaxis': {'title': 'Joly', 'min': 0.01, 'linewidth': 2, 'ticks': 'outside'},
+            'baxis': {'title': 'Coderre', 'min': 0.01, 'linewidth': 2, 'ticks': 'outside'},
+            'caxis': {'title': 'Bergeron', 'min': 0.01, 'linewidth': 2, 'ticks': 'outside'}
+        },
+    'showlegend': False
+})
+
+fig.layout.template = 'plotly_dark'
+fig.show()

Data Visualisation/Waterfall Chart/WaterfallChart.py

@@ -0,0 +1,25 @@
+import plotly.express as px
+import plotly.graph_objects as go
+
+fig = go.Figure(go.Waterfall(
+    name="20",
+    orientation="v",
+    measure=["relative", "relative", "relative",
+             "relative", "relative", "total"],
+    x=["Exp1", "Exp2", "Exp3", "Exp4", "Exp5", "Exp6"],
+    textposition="outside",
+    text=["100", "50", "130", "200", "40", "Total"],
+    y=[100, +50, 130, 200, 40, 0],
+    connector={"line": {"color": "rgb(63, 63, 63)"}},
+    increasing={"marker": {"color": "green"}},
+    totals={"marker": {"color": "blue"}}
+))
+
+fig.update_layout(
+    title="Waterfall Chart",
+    showlegend=True,
+    xaxis_title='X Axis Title',
+    yaxis_title='Y Axis Title',
+)
+fig.layout.template = 'plotly_dark'
+fig.show()