Graphing Charts in Python
Python Line Charts
Customizing the x and y labels are a simple way to make the graph more notable, and these filters share much in common with other customizations in the chart:
Code:
import pandas as pd
df = pd.read_excel('world_population_growth.xlsx')
df.plot( 'Year' , 'Population' )
plt.xlabel('Year', fontweight='bold', color = 'orange', fontsize='17', horizontalalignment='center', rotation=45)
plt.ylabel('Population (billions)', fontweight='bold', color = 'orange', fontsize='17', horizontalalignment='center')
Explanation:
fontweight is similar to Word’s bold
color can be anything you’d like from here (https://matplotlib.org/stable/gallery/color/named_colors.html)
fontsize can be adjusted however you like
horizontalalignment is the placement of the label
rotation is how much you’d like the text shifted, if it was 90 then the x label would be in the same format as the default y label positioning
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