PYTHON PROGRAM TO PLOT GROUPED BAR PLOT..

Published: 01 January 1970
on channel: PythonEnthusiasts

#PYTHON PROGRAM TO IMPLEMENT GROUPED BAR PLOT

1. load iris dataset
2. Groupby species(setosa,versicolor,virginica)
3. find the mean of all the 4 features(sepal length,sepal width,petal length,petal width) with species as index
4. plot the bar chart accordingly

import matplotlib.pyplot as plt
import pandas as pd

df_species_flower = pd.read_csv('C:\Vinuthna\python_enthu\iris.csv')

#REFREAMED DATAFRAME BASED ON MEAN OF ALL FEATURES AND GROUPED BY SPECIES
avg_species_df = df_species_flower.groupby('species').mean().reset_index()
print(avg_species_df)

plt.bar(x=[0,5,10],height=avg_species_df['sepal_length'],width=0.3,color='green')
plt.bar(x=[0.3,5.3,10.3],height=avg_species_df['sepal_width'],width=0.3,color='red')
plt.bar(x=[0.6,5.6,10.6],height=avg_species_df['petal_length'],width=0.3,color='cyan')
plt.bar(x=[0.9,5.9,10.9],height=avg_species_df['petal_width'],width=0.3,color='blue')
plt.xlabel("SPECIES")
plt.ylabel("MEAN OF FLOWER DIMENSIONS")
plt.title("IRIS DATASET GROUPED BAR PLOT")
plt.legend(['sepal length','sepal width','petal length','petal_width'])

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