Merge pull request avinashkranjan#542 from ELITA04/enhance_data_visualization

Enhancing Data Visualization Scripts avinashkranjan#515

Author: avinashkranjan

Data-Visualization/Bar Plotting/program.py

@@ -0,0 +1,41 @@
+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-Visualization/BarChart/RevisedBarChart.png

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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-Visualization/BarChart/bar_chart.py

@@ -0,0 +1,29 @@
+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-Visualization/BubbleChart/BubbleChart.png

@@ -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()