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Define the x-axis and corresponding y-axis values as lists. Plot them on canvas using. Plot() function. Give a name to x-axis and y-axis using. Xlabel() and. Ylabel() functions. Give a title to your plot using. Title() function. Finally, to view your plot, we use. Show() function.
Create your plots and draw them at the end: import matplotlib. Pyplot as plt. Plot(x, y) PLT. Create your plots and draw them as soon as they are created: import matplotlib. Pyplot as PLT from matplotlib import interactive(True) PLT. Plot(x, y) raw_input('press return to continue') PLT.
0:05 4:03 Suggested clip Matplotlib Tutorial 2 | Plotting data from lists using Pilot API YouTubeStart of suggested client of suggested clip Matplotlib Tutorial 2 | Plotting data from lists using Pilot API
Matplotlib: low level, provides lots of freedom. Pandas Visualization: easy to use interface, built on Matplotlib. Seaborne: high-level interface, great default styles. Ggplot: based on R's ggplot2, uses Grammar of Graphics. Plot: can create interactive plots.
1:45 7:20 Suggested clip Python 3 Programming Tutorial — Matplotlib plotting from a CSV YouTubeStart of suggested client of suggested clip Python 3 Programming Tutorial — Matplotlib plotting from a CSV
Using the CSV module in Python, we can import a CSV file, read it, and extract the data from it, such as the x-axis data and the y-axis data. We can then use matplotlib in order to plot the graph of the extracted data. So what we have to do is create a CSV file.
Import the date from CSV file to Excel. Go to the ribbon and click Insert. On selecting graph a blank window will appear, on right-click a drop-down menu appears, from which choose Select Data option. On clicking Select Data option a window will appear like this below. A small window will appear.
1:10 3:49 Suggested clip Introduction to data visualization in Excel 2016 — Importing a CSV fileYouTubeStart of suggested client of suggested clip Introduction to data visualization in Excel 2016 — Importing a CSV file
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