Scatter plot from csv file in python
While you can use the Show
data.csv
plots.py
output How it Works
read_csv() reads the csv file into a Pandas Dataframe The dataframe plot method is a wrapper around matplotlib's plot and is documented here Notice that we can get different kind of plots by adjusting the Scatter Plot in Python using Pandas and MatplotlibIn this tutorial we will learn to create a Scatter Plot in Python using Matplotlib and Pandas. We will use matplotlib.pyplot()’s plt.scatter() to create the scatter plot What is a Scatter Plot?Scatter Plot also known as scatter plots graph, scatter graphs, scatter chart, scatter diagram is used to show the relationship between two sets of values represented by a dot. It helps in finding the co-relation between the values and also help in identifying the outliers. Scatter Plots are an effective way of Data Visualisation in Python. The syntax and the parameters of matplotlib.pyplot.scatterThe syntax of plt.scatter() is :-
And the parameters are:-
Creating a Simple Scatter Plot in Python using MatplotlibWe can create a simple scatter plot in Python by passing x and y values to plt.scatter():-
This code will create a simple scatter plot in python. We can also use seaborn style to create seaborn scatter plot. Customizing the Scatter Plots in Python MatplotlibWe can customize the scatter plot by passing certain arguments in plt.scatter(). Some of the commonly used options to customize the scatter plot in python are as under:-
Creating a Simple Scatter Plot using Seaborn Style in Python
Adding colors to the scatter plot in Python depending on the valueWe can also add scatter color by value to the matplotlib scatter plots. Let us assume that y values in the above random data for matplotlib scatter plots represent rating on the scale of 1-10. Now, we can pass a list of color having values 1-10
Now, in the above scatter plot, each marker is different shade of grey depending upon the value (1-10). Using cmap to set colors of the Scatter Plots in PythonInstead of using the black color we can set some other color by passing cmap argument in plt.scatter(). Also we can set the label for the colorbar using the below python code. cmap can take the following values. You can read more about color maps to have different scatter plot colors for values here.
You can use any of these colors to make your scatter plot more colorful. This surely adds to data visualisation.
So, by using cmap we have converted our simple scatter plot in to colorful scatter plot. These matplotlib scatter plots help a lot in data visualisation. Now the scatter plot has colors as per the values. Creating a Scatter plot using Python Pandas and MatplotlibNow we will create a Matplotlib Scatter Plot from a CSV. For this I have grabbed the CSV from Corey Schaffer’s tutorial on Scatter Plots in Matplotlib from here. The said example data file is about the views, likes and like/dislike ratio on the trending tutorial videos. Here we will plot this real time data as a scatter plot in Python. We will use pandas read_csv to extract the data from the csv and plot it. Now I have downloaded the said csv file and saved it as ‘scatter_plot_data.csv’ and have used the following code to create the scatter plot in matplotlib using python and pandas.
Creating a Logged Scatter Plot in PythonSo, here you will see that our scatter plot has an outlier, as one of the videos has 40 lakh views. Due to this, the data is congested on the lower left of the scatter plot. We can either remove the outlier or instead of plotting it on the x and y scale we can plot it on the log scale using the following code.
Finally we can integrate the like/dislike ratios in our scatter plot by using scatter plot colors on the basis of value of like/dislike ratio using colorbar.
Matplotlib Video Tutorial SeriesWe are glad to inform you that we are coming up with the Video Tutorial Series of Matplotlib on Youtube. Check it out below.
Table of Contents of Matplotlib Tutorial in Python Matplotlib Tutorial in Python | Chapter 1 | Introduction Matplotlib Tutorial in Python | Chapter 2 | Extracting Data from CSVs and plotting Bar Charts Pie Charts in Python | Matplotlib Tutorial in Python | Chapter 3 Matplotlib Stack Plots/Bars | Matplotlib Tutorial in Python | Chapter 4 Filling Area on Line Plots | Matplotlib Tutorial in Python | Chapter 5 Python Histograms | Matplotlib Tutorial in Python | Chapter 6 Scatter Plotting in Python | Matplotlib Tutorial | Chapter 7 Plot Time Series in Python | Matplotlib Tutorial | Chapter 8 Python Realtime Plotting | Matplotlib Tutorial | Chapter 9 Matplotlib Subplot in Python | Matplotlib Tutorial | Chapter 10 Python Candlestick Chart | Matplotlib Tutorial | Chapter 11 If you have liked our tutorial, there are various ways to support us, the easiest is to share this post. You can also follow us on facebook, twitter and youtube. In case of any query, you can leave the comment below. You can support us through patreon. How do you scatter plot a csv file in Python?Make a list of columns that have to be extracted.. Use read_csv() method to extract the CSV file data into a data frame.. Print the exracted data.. Plot the data frame using plot() method.. To display the figure, use show() method.. How do you plot a graph from CSV in Python?MatPlotLib with Python. Set the figure size and adjust the padding between and around the subplots.. Make a list of headers of the . CSV file.. Read the CSV file with headers.. Set the index and plot the dataframe.. To display the figure, use show() method.. How do I read a csv file in Matplotlib?Read A CSV File Using Python. Using the CSV Library. import csv with open("./bwq.csv", 'r') as file: csvreader = csv.reader(file) for row in csvreader: print(row) Here we are importing the csv library in order to use the . ... . Using the Pandas Library. import pandas as pd data = pd.read_csv("bwq.csv") data.. How do I convert a CSV file to a graph?How to Graph a CSV File in Excel. Open your CSV file in MS Excel. Video of the Day.. Select the data cells you would like to graph by clicking on the corner cell and dragging the cursor to the far corner. Release the mouse button.. |