Python
Python is a dynamic programming language particularly suited for mathematical applications (similar to the R Project).
Starting an Interactive Python Session
Start an interactive python session with the command
python from a terminal. In some environments, both python
version 2 and version 3 are installed, and the command
python3 should be used to ensure the latest Python is
used.
$ python
Python 3.9.10 (main, Jan 15 2022, 11:48:04)
[Clang 13.0.0 (clang-1300.0.29.3)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> print("Hello World")
Hello World
>>> Use the command quit() to exit.
Seaborn
Seaborn
is one useful graphing library. Install with
pip install seaborn.
Histogram
histplot
creates a histogram.
import seaborn as sns
import matplotlib
import matplotlib.pyplot as plt
import pandas as pd
sns.set_theme()
column = "flipper_length_mm"
data = sns.load_dataset("penguins")
# data = pd.read_csv("data.csv")
# data = pd.DataFrame(data={column: [0,1,2]})
axes = sns.histplot(data, x=column, kde=True)
axes.ticklabel_format(style='plain')
axes.get_xaxis().set_major_formatter(matplotlib.ticker.StrMethodFormatter('{x:,.0f}'))
axes.get_yaxis().set_major_formatter(matplotlib.ticker.StrMethodFormatter('{x:,.0f}'))
plt.xticks(rotation=45)
plt.tight_layout()
plt.savefig('image.png')
plt.show()Empirical Cumulative Distribution Function
ecdfplot
creates an empirical
Cumulative Distribution Function (eCDF) graph.
import seaborn as sns
import matplotlib
import matplotlib.pyplot as plt
import pandas as pd
sns.set_theme()
column = "flipper_length_mm"
data = sns.load_dataset("penguins")
# data = pd.read_csv("data.csv")
# data = pd.DataFrame(data={column: [0,1,2]})
axes = sns.ecdfplot(data, x=column)
axes.ticklabel_format(style='plain')
axes.get_xaxis().set_major_formatter(matplotlib.ticker.StrMethodFormatter('{x:,.0f}'))
axes.get_yaxis().set_major_formatter(matplotlib.ticker.StrMethodFormatter('{x:,.0f}'))
plt.xticks(rotation=45)
plt.tight_layout()
plt.savefig('image.png')
plt.show()