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Don't think about one perfect solution. Instead, start thinking about choosing an option out of the many you have to solve problems.
I coach people to develop the Resolving Discipline that turns them into independent programmers.
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If you are trying to solve a problem with programming, you may have several solutions to get the same result.
A basic idea that we don't get at the beginning because we look for that perfect solution.
It doesn’t exist.
It would be best to start thinking about choosing the "one" option, not "the" option.
Let’s say that we are facing the following problem: visualise two variables with a scatterplot.
import pandas as pd
df = pd.read_csv('https://raw.githubusercontent.com/mwaskom/seaborn-data/master/tips.csv')
df.head()
In Python, you’ve got 3 libraries that can make a scatterplot:
matplotlibseabornplotlyLet’s observe the differences:
import matplotlib.pyplot as plt
plt.scatter(x='total_bill', y='tip', data=df)
import seaborn as sns
sns.scatterplot(x='total_bill', y='tip', data=df)
import plotly.express as px
px.scatter(data_frame=df, x='total_bill', y='tip')
matplotlib allows you to create custom plots, but you need to write more code.seaborn automates the plot so that you don’t need to write more lines. For example, seaborn added the x & y axis labels by default. matplotlib didn’t.plotly allows you to interact with the plot. Give it a try and hover the mouse over the points.If you are to make a plot for an online post, you may like to use plotly due to its interactivity. Nevertheless, you wouldn’t use it if you were writing a paper article.
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