How to generate BAR plot using pandas DataFrame?
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How to generate BAR plot using pandas DataFrame?

How to generate BAR plot using pandas DataFrame?

This recipe helps you generate BAR plot using pandas DataFrame

Recipe Objective

visualizing a dataset give us a overall view of the data. It gives various statistical description about the data.

So this is the recipe on how we can generate BAR plot using pandas DataFrame. .

Step 1 - Importing Library

import pandas as pd import matplotlib.pyplot as plt import numpy as np

We have only imported pandas, numpy and matplotlib.pyplot which is needed.

Step 2 - Creating DataFrame

We have created a Dictionary and passed it through pd.DataFrame to create dataframe with different features. raw_data = {"first_name": ["Jason", "Molly", "Tina", "Jake", "Amy"], "pre_score": [4, 24, 31, 2, 3], "mid_score": [25, 94, 57, 62, 70], "post_score": [5, 43, 23, 23, 51]} df = pd.DataFrame(raw_data, columns = ["first_name", "pre_score", "mid_score", "post_score"]) print(df)

Step 3 - Creating Bar Plot

We have done various steps to plot bar graph. First we have assigned labels to the bar, then the y and horizontal position of the the bar. Bar graph is ploted by the function plt.barh and finally labelling the x, y axis and the graph. Molly = df.ix[1, 1:] Tina = df.ix[2, 1:] bar_labels = ["Pre Score", "Mid Score", "Post Score"] plt.figure(figsize=(8,6)) y_pos = np.arange(len(Molly)) y_pos = [x for x in y_pos] plt.yticks(y_pos, bar_labels, fontsize=10) plt.barh(y_pos, Molly, align="center", alpha=0.4, color="#263F13") plt.barh(y_pos, -Tina, align="center", alpha=0.4, color="#77A61D") plt.xlabel("Tina"s Score: Light Green. Molly"s Score: Dark Green") plt.title("Comparison of Molly and Tina"s Score") plt.ylim([-1,len(Molly)+0.1]) plt.xlim([-max(Tina)-10, max(Tina)+10]) plt.grid(); plt.show() So the output comes as


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