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Commit d46c524

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Merge pull request avinashkranjan#542 from ELITA04/enhance_data_visualization
Enhancing Data Visualization Scripts avinashkranjan#515 
2 parents e7eec08 + e636fee commit d46c524

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20 files changed

+236
-73
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20 files changed

+236
-73
lines changed

‎Data-Visualization/Bar Plotting/program.py‎

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import plotly.graph_objects as go
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import numpy as np
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np.random.seed(42)
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# declaring size of arr
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size = 7
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x = [f'Product {i}' for i in range(size)]
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y = np.random.randint(low = 0, high = 100, size=size)
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# creating the Bar Chart
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fig = go.Figure(go.Bar(
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x = x,
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y = y,
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text = y,
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textposition='outside',
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marker_color='indianred',
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hovertemplate = "%{x} : %{y} <extra></extra>",
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showlegend = False,
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))
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# Modifying the tickangle of the xaxis, and adjusting width and height of the image
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fig.layout.template = 'plotly_dark'
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#Hiding y-axis labels
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layout_yaxis_visible = False
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layout_yaxis_showticklabels = False
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fig.update_layout(
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xaxis_title = 'X Axis Title',
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yaxis_title = 'Y Axis Title',
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xaxis_tickangle = -45,
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autosize=False,
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width=600,
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height=600,
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margin=dict(l=50, r=50, b=100, t=100, pad=4)
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)
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# Removing the background grid and the Y-axis labels
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fig.update_yaxes(showgrid = False, showticklabels = False)
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fig.show()
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import plotly.graph_objects as go
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import numpy as np
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np.random.seed(1)
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# declaring size of arr
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size = 10
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size_arr = np.random.randint(low = 50, high = 600, size=size)
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x = np.random.randint(low = 0, high = 30, size=size)
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y = np.random.randint(low = 0, high = 20, size=size)
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fig = go.Figure(data=[go.Scatter(
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x = x,
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y = y,
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mode='markers',
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marker=dict(
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size=size_arr,
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sizemode='area',
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sizeref=2.*max(size_arr)/(40.**2),
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sizemin=4
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),
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hovertemplate = " x : %{x} <br> y : %{y} <br>"
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)])
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# Adjusting width and height of the image
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fig.layout.template = 'plotly_dark'
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fig.update_layout(
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title = 'Bubble Chart',
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xaxis_title = 'X Axis Title',
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yaxis_title = 'Y Axis Title',
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autosize=False,
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width=600,
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height=600,
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margin=dict(l=50, r=50, b=100, t=100, pad=4)
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)
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fig.show()
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import plotly.express as px
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import numpy as np
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np.random.seed(42)
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# declaring the size of an array
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rows = 5
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columns = 3
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data = np.random.randint(low = 0, high = 50, size=(columns, rows))
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fig = px.imshow(data,
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labels=dict(x="X Axis Title", y="Y Axis Title", color="Productivity"),
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x=[f'Product {i}' for i in range(rows)],
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y=[f'Type {i}' for i in range(columns)],
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)
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# Modifying the tickangle of the xaxis, and adjusting width and height of the image
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fig.layout.template = 'plotly_dark'
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fig.update_xaxes(side="top")
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fig.update_layout(
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title = 'Heat Map ',
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xaxis_tickangle = -45,
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autosize=False,
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width=600,
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height=600,
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margin=dict(l=50, r=50, b=100, t=100, pad=4)
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)
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fig.show()

‎Data-Visualization/Histogram Plotting/program.py‎

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

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