Raymond
Pandas DataFrame Plot - Scatter and Hexbin Chart
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In this article I'm going to show you some examples about plotting scatter and hexbin chart with Pandas DataFrame. I'm using Jupyter Notebook as IDE/code execution environment.
Hexbin chart is a pcolor of a 2-D histogram with hexagonal cell and can be more informative compared with Scatter chart.
Prepare the data
Use the following code snippet to create a Pandas DataFrame object in memory:
import pandas as pd import numpy as np data = [] n = 10000 x = np.random.standard_normal(n) y = 2.0 + 3.0 * x + 4.0 * np.random.standard_normal(n) df = pd.DataFrame() df['x'] = x df['y'] = y df
The above code populates a dataframe like the following table:
x | y | |
---|---|---|
0 | -0.326429 | -2.236740 |
1 | 0.454832 | -2.747080 |
2 | 0.132723 | 4.515384 |
3 | -0.437708 | 3.494672 |
4 | -0.264059 | -3.256577 |
... | ... | ... |
9995 | 0.068648 | 4.059994 |
9996 | 0.993274 | 2.318345 |
9997 | -0.895868 | -4.447368 |
9998 | 0.422794 | 6.256481 |
9999 | 0.441044 | 7.309338 |
10000 rows × 2 columns
Scatter chart
plt =df.plot(kind='scatter',x='x', y='y')
The above code snippet plots the following chart:
Hexbin
plt =df.plot(kind='hexbin',x='x', bins='log',y='y')
For log function is used for creating bins. The chart looks like the following screenshot:
The deeper the color, the higher the density.
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