#!/usr/bin/env python
# coding: utf-8
# In[1]:
import pandas as pd
#Importing pandas Library
# In[2]:
dataset = pd.read_csv("tips.csv")
# Importing dataset into the varaible as pandas dataframe
# In[3]:
dataset["tip_rate"] = dataset["tip"]/dataset["total_bill"]
# Adding new column tip_rate to the dataset by diving tip and total_bill
# In[4]:
import matplotlib.pyplot as plt
# Importing matplotlib library of python to plot the bar graph
# In[5]:
plt.bar(dataset["day"],dataset["tip_rate"])
# Defining x and y varaibles of the graph
plt.xlabel("days")
plt.ylabel("tip_rate")
# Giving label to the bar graph
plt.show()
# Statement to show the plot
Screenshot of output:-
t:
Screenshots of Code:
Above is the code to calculate display bar graph as asked in the question. The dataset i used was similar to what is asked in question but it has some diffrent values. It would run perfectly on your dataset too.
I have to use this dataset because you haven't provided any dataset.
Explantion:
ScreenShot of the dataset that i used:
If there are some doubts you can ask me in comments.
I hope, I'm clear with my answers. Please Upvote
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