Basic Matplotlib Scatterplot


This post describes how to draw a basic scatterplot using matplotlib library. Once you understood the function, you can see the next post to customise your scatterplot chart.

This is a basic scatterplot example made with the plot() function of Matplotlib. These arguments are passed to the function:

  • x : x axis coordinates of the data points
  • y : y axis coordinates of the data points
  • data : an object with labelled data
  • linestyle : style of the lines between each point
  • marker : marker style of the points
# libraries
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
 
# Create a dataset:
df=pd.DataFrame({'x_values': range(1,101), 'y_values': np.random.randn(100)*15+range(1,101) })
 
# plot
plt.plot( 'x_values', 'y_values', data=df, linestyle='none', marker='o')
plt.show()

Scatterplot

Heatmap

Correlogram

Bubble

Connected Scatter

2D Density

Contact & Edit

👋 This document is a work by Yan Holtz. Any feedback is highly encouraged. You can fill an issue on Github, drop me a message onTwitter, or send an email pasting yan.holtz.data with gmail.com.

This page is just a jupyter notebook, you can edit it here. Please help me making this website better 🙏!

Violin

Density

Histogram

Boxplot

Ridgeline

Scatterplot

Heatmap

Correlogram

Bubble

Connected Scatter

2D Density

Barplot

Spider / Radar

Wordcloud

Parallel

Lollipop

Circular Barplot

Treemap

Venn Diagram

Donut

Pie Chart

Dendrogram

Circular Packing

Line chart

Area chart

Stacked Area

Streamgraph

Map

Choropleth

Hexbin

Cartogram

Connection

Bubble

Chord Diagram

Network

Sankey

Arc Diagram

Edge Bundling

Colors

Interactivity

Animation with python

Animation

Cheat sheets

Caveats

3D