"We should have never left the command line."
Shellplot is the plotting package that you didn't know you needed. Plotting, straight outta the command line.
Please take a look at the documentation, which contains many examples.
$ pip install shellplot
Shellplot loosely replicates the matplotlib API, offering both a figure and functional api. It currently supports scatter, line, histogram, bar and boxplots, with many options to customize the figure. It's as easy as:
>>> import shellplot as plt
>>> df = plt.load_dataset("penguins")
>>> plt.plot(df["bill_length_mm"], df["flipper_length_mm"], color=df["species"])
flipper_length_mm
232┤ o oo oo o o o
| oo o o o
| oooo
| o oooo ooo oo o
| oo oooo oo o o o o o
217┤ o o oo ooooo ooo o
| o o o ooooo o o*oo
| o oo + oooo oooo * *
| + oooo o o * *
| ++ o * ** **
202┤ + + * ** ** *
| + ++++ + + * ** ****
| ++ +++ +++ +++ + ** ** ***** **
| +++ ++++ ++ ++ + *+** * ***
| + + ++++++++++ ++++ *+*** * *
187┤+ + + ++ +++++++*+ * * ** *
| ++ ++++++ + +++ *
| + ++ + + + * *
| + ++ + * + Adelie
| + + * Chinstrap
172┤ + o Gentoo
└┬----------┬---------┬----------┬----------┬----------┬------
32 37 42 47 52 57
bill_length_mm
Shellplot also provides a convenient integration with pandas. Simply set the pandas plotting backend to shellplot:
>>> import pandas as pd
>>> pd.set_option("plotting.backend", "shellplot")
Please refer to pandas visualisation page for further details.
This project has been set up using PyScaffold 3.2.3. For details and usage information on PyScaffold see https://pyscaffold.org/.