Customize Your Plot
Now we will look at how you can diversify and improve the presentation of your graphs. This will improve the perception of the graph and can also be useful when creating presentations and other documents with data analysis.
Let's start by adding headings to the graph:
python
You can also change the style of the time series chart. If you want the graph to be not a solid line but consist of dots, then change the value of the linestyle argument to "dotted":
python
And finally, let's figure out how to change the chart's color scheme. You have a huge selection of colormaps, a complete list of which is on the official matplotlib website.
To change the color palette, you just need to change the value of the colormap argument to the name of the palette you are interested in:
python
Swipe to start coding
Visualize the dataset pr_air_quality.csv.
- Read the
csvfile. - Initialize a line plot for the
"value"column ofdf. Set"dotted"linestyleand"cool"colormap. - Add plot title
"Air quality analysis". - Add labels on the axis:
"Datetime"on the x-axis and"Value"on the y-axis.
Oplossing
Schakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande optiesBedankt voor je feedback!
Schakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande opties