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month_bar_plot.py
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month_bar_plot.py
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import streamlit as st
import plotly.graph_objects as go
import pandas as pd
TITLE = 'Monthly Sentiment Analysis'
X_AXIS = 'Month'
Y_AXIS = 'Tweet Count'
LINE_WIDTH = 3
POS_LINE_COLOR = 'rgb(67,230,167)'
NEG_LINE_COLOR = 'rgb(230,100,120)'
NEU_LINE_COLOR = 'rgb(167,167,167)'
SOM_POS_LINE_COLOR = 'lightskyblue'
SOM_NEG_LINE_COLOR = 'palevioletred'
TEXT_COLOR = 'rgb(200,200,200)'
LEGEND_BACKG_COLOR = 'rgb(100,110,120)'
POS_HOVER_TEXT_BACKG_COLOR = "teal"
NEG_HOVER_TEXT_BACKG_COLOR = "crimson"
NEU_HOVER_TEXT_BACKG_COLOR = "slategrey"
ALL_HOVER_TEXT_BACKG_COLOR = "silver"
# List of number of positive,negative and neutral sentiments
num_pos_tweets_mons=[17320,24901,17282,45726,33884]
num_som_pos_tweets_mons=[9984,13384,9185,26946,19835]
num_neg_tweets_mons=[9628,12315,9050,28333,19614]
num_som_neg_tweets_mons=[7160,8715,6092,19372,14082]
num_neut_tweets_mons=[24466,31275,21933,69854,73772]
# This Grpah is to show Month-wise number of Positive, Negative and Neutral Sentiments
months = ['Mar','Apr', 'May', 'Jun','Jul'] # List of Months
fig = go.Figure() # Calling Figure Class
# Adding Traces
# Adding trace for Positive Sentiment
def positive(fig):
fig.add_trace(go.Bar(
x=months,
y=num_pos_tweets_mons,
name='Positive Sentiment',
marker_color=POS_LINE_COLOR
))
fig.update_layout(hoverlabel=dict(
bgcolor=POS_HOVER_TEXT_BACKG_COLOR,
))
# Adding trace for Somewhat Positive Sentiment
def some_positive(fig):
fig.add_trace(go.Bar(
x=months,
y=num_som_pos_tweets_mons,
name='Somewhat Positive Sentiment',
marker_color=SOM_POS_LINE_COLOR
))
# Adding trace for Negative Sentiment
def negative(fig):
fig.add_trace(go.Bar(
x=months,
y=num_neg_tweets_mons,
name='Negative Sentiment',
marker_color=NEG_LINE_COLOR
))
fig.update_layout(hoverlabel=dict(
bgcolor=NEG_HOVER_TEXT_BACKG_COLOR,
))
# Adding trace for Somewhat Negative Sentiment
def some_negative(fig):
fig.add_trace(go.Bar(
x=months,
y=num_som_neg_tweets_mons,
name='Somewhat Negative Sentiment',
marker_color=SOM_NEG_LINE_COLOR
))
# Adding traces for Neutral Sentiment
def neutral(fig):
fig.add_trace(go.Bar(
x=months,
y=num_neut_tweets_mons,
name='Neutral Sentiment',
marker_color=NEU_LINE_COLOR
))
fig.update_layout(hoverlabel=dict(
bgcolor=NEU_HOVER_TEXT_BACKG_COLOR,
))
# Here we modify the tickangle of the xaxis, resulting in rotated labels.
# Changed the background plot color of the graph as well as the paper to Black.
# Changed the font style , size and color.
def plot(theme='plotly_dark'):
pass
def main(theme='plotly_dark', height=650, width=850, sentiment_picker='All'):
#st.title('IBM Hack Challenge 2020')
fig = go.Figure()
global TEXT_COLOR, LEGEND_BACKG_COLOR, NEU_LINE_COLOR, POS_LINE_COLOR, NEG_LINE_COLOR, SOM_POS_LINE_COLOR, SOM_NEG_LINE_COLOR,PLOT_BG_COLOR
if theme == 'plotly':
# global TEXT_COLOR, LEGEND_BACKG_COLOR, NEU_LINE_COLOR, POS_LINE_COLOR, NEG_LINE_COLOR
TEXT_COLOR = 'rgb(100,100,100)'
LEGEND_BACKG_COLOR = 'rgb(200,210,220)'
NEU_LINE_COLOR = 'rgb(97,97,97)'
POS_LINE_COLOR = 'rgb(42,128,97)'
NEG_LINE_COLOR = 'rgb(229,57,53)'
SOM_POS_LINE_COLOR = 'lightgreen'
SOM_NEG_LINE_COLOR = 'orange'
PLOT_BG_COLOR = 'rgb(240,240,240)'
theme = 'plotly'
# st.write(LEGEND_BACKG_COLOR)
else:
POS_LINE_COLOR = 'rgb(67,230,167)'
NEG_LINE_COLOR = 'rgb(230,100,120)'
NEU_LINE_COLOR = 'rgb(167,167,167)'
SOM_POS_LINE_COLOR = 'lightskyblue'
SOM_NEG_LINE_COLOR = 'palevioletred'
TEXT_COLOR = 'rgb(200,200,200)'
LEGEND_BACKG_COLOR = 'rgb(100,110,120)'
PLOT_BG_COLOR = 'rgb(16,16,16)'
theme = 'plotly_dark'
#sentiment_picker = st.selectbox(label='Pick sentiment for analysis data',
# options=('Positive', 'Somewhat Positive', 'Negative', 'Somewhat Negative', 'Neutral', 'All'),
# index=0)
if sentiment_picker == 'Positive':
positive(fig)
elif sentiment_picker == 'Somewhat Positive':
some_positive(fig)
elif sentiment_picker == 'Negative':
negative(fig)
elif sentiment_picker == 'Somewhat Negative':
some_negative(fig)
elif sentiment_picker == 'Neutral':
neutral(fig)
else:
positive(fig)
some_positive(fig)
negative(fig)
some_negative(fig)
neutral(fig)
fig.update_layout(hoverlabel=dict(
bgcolor=ALL_HOVER_TEXT_BACKG_COLOR,
))
fig.update_layout(title=TITLE,
xaxis_title=X_AXIS,
yaxis_title=Y_AXIS,
barmode='group', xaxis_tickangle=-45,
# showgrid=False,
template=theme,
font=dict(
family="Courier New, monospace",
size=18,
color=TEXT_COLOR
),
showlegend=True,
legend_title_text='Sentiment',
legend=dict(x=0,
y=1,
traceorder="normal",
font=dict(
family="sans-serif",
size=12,
color="black"),
bgcolor=LEGEND_BACKG_COLOR,
bordercolor="beige",
borderwidth=1
),
height=height,
width=width,
margin=dict(
l=50,
r=50,
b=100,
t=100,
pad=4
),
hovermode='x',
hoverlabel=dict(
font_size=16
))
return st.plotly_chart(fig)
# plot()
if __name__ == '__main__':
main()