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Matplotlib Tutorial: Matplotlib Plot Examples
3 min readNov 18, 2020
Matplotlib is a Python library used for plotting. Plots enable us to visualize data in graphical representation.
Matplotlib is a widely used Python based library; it is used to create 2d Plots and graphs. It plays an important role in visualizing and serve as an important part for an Exploratory Data Analysis (EDA) step.
Types of Plots in Matplotlib Python:
- Scatter Plot
- Histograms
- Line Charts
- Bar Chart
- Pie Chart
Import libraries and Load Dataset.
We use Titanic and Iris Datasets for visualization. In order to read CSV file we need to import pandas library in python and matplotlib for plotting.
import pandas as pd
import matplotlib.pyplot as plt#Read Titanic Datasettest = pd.read_csv('../input/test.csv')
train = pd.read_csv('../input/train.csv')#Read Titanic Datasetiris=pd.read_csv("iris.csv")
1) Scatter Plot:
Scatter plots are used to observe relationship between variables. It uses dots to represent their relationship.
