THIS LIBRARY IS NOW OUT OF DATE. PLEASE USE WQChartPy AS IT IS BY THE ORIGINAL AUTHOR AND MUCH MORE ROBUST.
This script plots a piper diagram of water chemisty. It includes an ArcGIS Toolbox for use in ArcGIS Pro.
This script was taken from Peeters 2014 in Groundwater
@article {GWAT:GWAT12118,
author = {Peeters, Luk},
title = {A Background Color Scheme for Piper Plots to Spatially Visualize Hydrochemical Patterns},
journal = {Groundwater},
volume = {52},
number = {1},
publisher = {Blackwell Publishing Ltd},
issn = {1745-6584},
url = {http://dx.doi.org/10.1111/gwat.12118},
doi = {10.1111/gwat.12118},
pages = {2--6},
year = {2014},
}Please refer to the original publication for licensing guidelines.
pip install https://github.com/inkenbrandt/Peeters_Piper/zipball/master import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from peeters_piper.peeter_piper import piper
filename = "examples/GW20130314-0057-s02_additional_field.csv"
df = pd.read_csv(filename)
# Plot example data
# Piper plot
fig = plt.figure()
markers = ["s", "o", "^", "v", "+", "x"]
arrays = []
for i, (label, group_df) in enumerate(df.groupby("additional-field")):
arr = group_df.iloc[:, 2:10].values
arrays.append(
[
arr,
{
"label": label,
"marker": markers[i],
"edgecolor": "k",
"linewidth": 0.3,
"facecolor": "none",
},
]
)
rgb = piper(arrays, "title", use_color=True, fig=fig)
plt.legend()
fig.savefig(filename + "_piper_plot.png", dpi=120)