<filename>user_setup.py
# Set your own paths, that is forever yours (will not be changed with updates on other scripts)

from pathlib import Path
import matplotlib as plt
import matplotlib.cm

# ----------------------------------------------------------------------------------------------
# Fill in the locations of your folders using the variables below (Henning's files as examples)
# ----------------------------------------------------------------------------------------------
# Raw data (text files):
raw_data = Path(r'C:\Users\hennika\OneDrive - NTNU\PhD\Results\Cycling\Raw_files')

# Database where the imported cells will be (when saved as pickle)
database = Path(r'C:\Users\hennika\OneDrive - NTNU\PhD\Results\Cycling\Pickles')

# (Default) Location to where the exported data will be (possible to override)
exported_data = Path(r'C:/Users/hennika/OneDrive - NTNU/PhD/Results/Cycling/Exported')

# (Default) Location to where plots will be saved (possible to override)
plots = Path(r'C:\Users\hennika\OneDrive - NTNU\PhD\Results\Cycling\Plots')

# Histogram size for calculating differential capacity
# Should be significantly larger than the largest step in potential values.
hist_size = 0.02    # Henning uses currently 0.02

#colors_qual = 'Dark2'
colors_qual = plt.cm.Dark2(range(0, 8, 1))
<filename>user_setup.py
# Set your own paths, that is forever yours (will not be changed with updates on other scripts)

from pathlib import Path
import matplotlib as plt
import matplotlib.cm

# ----------------------------------------------------------------------------------------------
# Fill in the locations of your folders using the variables below (Henning's files as examples)
# ----------------------------------------------------------------------------------------------
# Raw data (text files):
raw_data = Path(r'C:\Users\hennika\OneDrive - NTNU\PhD\Results\Cycling\Raw_files')

# Database where the imported cells will be (when saved as pickle)
database = Path(r'C:\Users\hennika\OneDrive - NTNU\PhD\Results\Cycling\Pickles')

# (Default) Location to where the exported data will be (possible to override)
exported_data = Path(r'C:/Users/hennika/OneDrive - NTNU/PhD/Results/Cycling/Exported')

# (Default) Location to where plots will be saved (possible to override)
plots = Path(r'C:\Users\hennika\OneDrive - NTNU\PhD\Results\Cycling\Plots')

# Histogram size for calculating differential capacity
# Should be significantly larger than the largest step in potential values.
hist_size = 0.02    # Henning uses currently 0.02

#colors_qual = 'Dark2'
colors_qual = plt.cm.Dark2(range(0, 8, 1))
# Set your own paths, that is forever yours (will not be changed with updates on other scripts) # ---------------------------------------------------------------------------------------------- # Fill in the locations of your folders using the variables below (Henning's files as examples) # ---------------------------------------------------------------------------------------------- # Raw data (text files): # Database where the imported cells will be (when saved as pickle) # (Default) Location to where the exported data will be (possible to override) # (Default) Location to where plots will be saved (possible to override) # Histogram size for calculating differential capacity # Should be significantly larger than the largest step in potential values. # Henning uses currently 0.02 #colors_qual = 'Dark2'