How to generate BAR plot using pandas DataFrame?
DATA VISUALIZATION DATA CLEANING PYTHON DATA MUNGING MACHINE LEARNING RECIPES PANDAS CHEATSHEET     ALL TAGS

# 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

```
```

#### Relevant Projects

##### NLP and Deep Learning For Fake News Classification in Python
In this project you will use Python to implement various machine learning methods( RNN, LSTM, GRU) for fake news classification.

##### Time Series Python Project using Greykite and Neural Prophet
In this time series project, you will forecast Walmart sales over time using the powerful, fast, and flexible time series forecasting library Greykite that helps automate time series problems.

##### Creating your own embeddings using Glove and Word2vec
We all at some point in time wished to create our own language as a child! But what if certain words always cooccur with another in a corpus? Thus you can make your own model which will understand which word goes with which one, which words are often coming together etc. This all can be done by building a custom embeddings model which we create in this project

##### Census Income Data Set Project - Predict Adult Census Income
Use the Adult Income dataset to predict whether income exceeds 50K yr based on census data.

##### Loan Eligibility Prediction using Gradient Boosting Classifier
This data science in python project predicts if a loan should be given to an applicant or not. We predict if the customer is eligible for loan based on several factors like credit score and past history.

##### Data Science Project on Wine Quality Prediction in R
In this R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.

##### Image Segmentation using Mask R-CNN with Tensorflow
In this Deep Learning Project on Image Segmentation Python, you will learn how to implement the Mask R-CNN model for early fire detection.

##### Predict Credit Default | Give Me Some Credit Kaggle
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.

##### Human Activity Recognition Using Multiclass Classification in Python
In this human activity recognition project, we use multiclass classification machine learning techniques to analyse fitness dataset from a smartphone tracker.

##### PySpark Tutorial - Learn to use Apache Spark with Python
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.