TheAlgorithms · Oct 22, 2023 · Oct 22, 2023 · Oct 22, 2023 · Oct 22, 2023 · Oct 22, 2023
diff --git a/Data Visualisation/Bar Chart/BarChart.py b/Data Visualisation/Bar Chart/BarChart.py
@@ -0,0 +1,42 @@
+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()
diff --git a/Data Visualisation/Bubble Chart/BubbleChart.py b/Data Visualisation/Bubble Chart/BubbleChart.py
@@ -0,0 +1,43 @@
+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=2.0 * max(size_arr) / (40.0**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()
diff --git a/Data Visualisation/Contour Plots/ContourPlots.py b/Data Visualisation/Contour Plots/ContourPlots.py
@@ -0,0 +1,46 @@
+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()
diff --git a/Data Visualisation/Funnel Chart/FunnelChart.py b/Data Visualisation/Funnel Chart/FunnelChart.py
@@ -0,0 +1,41 @@
+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()
diff --git a/Data Visualisation/Heat Map/HeatMap.py b/Data Visualisation/Heat Map/HeatMap.py
@@ -0,0 +1,30 @@
+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()
diff --git a/Data Visualisation/Histogram Plot/HistogramPlot.py b/Data Visualisation/Histogram Plot/HistogramPlot.py
@@ -0,0 +1,23 @@
+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()
diff --git a/Data Visualisation/Line Chart/LineChart.py b/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))
diff --git a/Data Visualisation/Pie Chart/PieChart.py b/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()
diff --git a/Data Visualisation/Scatter Plot/ScatterPlot.py b/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()
diff --git a/Data Visualisation/Ternary Plots/TernaryPlots.py b/Data Visualisation/Ternary Plots/TernaryPlots.py
@@ -0,0 +1,44 @@
+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()
diff --git a/Data Visualisation/Waterfall Chart/WaterfallChart.py b/Data Visualisation/Waterfall Chart/WaterfallChart.py
@@ -0,0 +1,26 @@
+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()