making matplotlib scatter plots from dataframes in Python's pandas

Question

What is the best way to make a series of scatter plots using matplotlib from a pandas dataframe in Python?

For example, if I have a datafr

Answer 1

I will recommend to use an alternative method using seaborn which more powerful tool for data plotting. You can use seaborn scatterplot and define colum 3 as hue and size.

Working code:

import pandas as pd
import seaborn as sns
import numpy as np

#creating sample data 
sample_data={'col_name_1':np.random.rand(20),
      'col_name_2': np.random.rand(20),'col_name_3': np.arange(20)*100}
df= pd.DataFrame(sample_data)
sns.scatterplot(x="col_name_1", y="col_name_2", data=df, hue="col_name_3",size="col_name_3")