Viewing a matrix of scatterplots
If you don't have many variables in your dataset, it is a good idea to view all the possible scatterplots for your data. You can do this with one function call from either seaborn or pandas. These functions display a matrix of plots with kernel density estimation plots or histograms on the diagonal.
How to do it...
- Imports the following:
import pandas as pd from dautil import data from dautil import ts import matplotlib.pyplot as plt import seaborn as sns import matplotlib as mpl
- Load the weather data with the following lines:
df = data.Weather.load() df = ts.groupby_yday(df).mean() df.columns = [data.Weather.get_header(c) for c in df.columns]
- Plot with the Seaborn
pairplot()
function, which plots histograms on the diagonal ...
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