heatmap_digitizer is a python package for extracting numerical data from heatmap images.
Use the package manager pip to install heatmap_digitizer.
pip install heatmap_digitizerOn terminal (Recommended)
# Pops up a window. After following instructions within the window, creates a csv file.
python3 -m heatmap_digitizer file_name.png
# Same as above, but at the end read and plot the csv file.
python3 -m heatmap_digitizer --plot file_name.png # -p or --plot
# Uses an example image and plot the csv file at the end.
python3 -m heatmap_digitizer -e -p # -e or --example
# Help option
python3 -m heatmap_digitizer --helpOn Python
from heatmap_digitizer import HeatmapDigitizer
# Help function
print(help(HeatmapDigitizer))
# Pops up a window. After following instructions within the window, creates a csv file.
example = HeatmapDigitizer("file_name.png")
example.connect()
# Same as above, but at the end read and plot the csv file.
example = HeatmapDigitizer("file_name.png")
example.heatmap_plot = True
example.connect()
# Uses an example image and plot the csv file at the end.
example = HeatmapDigitizer("example")
example.connect()After generating the csv file, you can read and plot it with Python.
# An example of how to read the generated csv file as a dataframe:
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sb
fig, ax = plt.subplots(1, figsize=(800 / 96, 800 / 96), dpi=96)
example = pd.read_csv("file_name.csv", index_col=0)
example.columns = np.around(example.columns.astype(float), decimals=2)
example.index = np.around(example.index, decimals=2)
average = example.mean().mean()
heat_map = sb.heatmap(example, center=average, annot=False, cbar=True,
cbar_kws={'label': 'values'}, ax=ax, square=True)
ax.set_xlabel('x coordinate')
ax.set_ylabel('y coordinate')
ax.set_title('An example plot using the generated csv file.')
plt.show()