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Updated to handle new update correctly #2

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866c327
Updated to work with new update
JeppeSchildt Mar 20, 2025
9ca6bec
updated to fit w/ original
JeppeSchildt Mar 21, 2025
5d9e266
updated to reflect original path for data
JeppeSchildt Mar 21, 2025
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51 changes: 25 additions & 26 deletions Code/strong.py
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Original file line number Diff line number Diff line change
@@ -1,27 +1,37 @@
import pandas as pd
import numpy as np
#import matplotlib
#matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
import matplotlib.colors as mcolors
import datetime as dt
from simple_term_menu import TerminalMenu

df = pd.read_csv ('./Data/strong.csv')

df['Reps'] = pd.to_numeric(df['Reps'], errors='coerce')
df['Weight (kg)'] = pd.to_numeric(df['Weight (kg)'], errors='coerce')
df = df.dropna(subset=['Reps'])
df = df.dropna(subset=['Weight (kg)'])


#Num: 0 1 2 3 4 5 6 7 8 9 10 11
Keys = ["Date","Workout Name","Duration","Exercise Name","Set Order","Weight","Reps","Distance","Seconds","Notes","Workout Notes","RPE"]
Keys = ["Workout #","Date","Workout Name","Duration (sec)","Exercise Name","Set Order","Weight (kg)","Reps","RPE","Distance (meters)","Seconds","Notes","Workout Notes"]
# User list comprehension to create a list of lists from Dataframe rows
list_of_rows = [list(row) for row in df.values]


list_of_dict = []
for workout in list_of_rows:
workout_dict = {}
for key_index,data in enumerate(workout):
if Keys[key_index] == 'Weight':
if Keys[key_index] == 'Weight (kg)':
workout_dict[Keys[key_index]] = float(data)
elif Keys[key_index] == 'Reps':
workout_dict[Keys[key_index]] = int(data)
else:
workout_dict[Keys[key_index]] = data
list_of_dict.append(workout_dict)
#print(list_of_dict)
all_workouts = list_of_dict
all_exercise_names = list(set([i["Exercise Name"] for i in all_workouts]))
# 1RM
Expand All @@ -33,22 +43,21 @@ def OneRepMax(weight,reps):
def total_volume(with_plot = True):
volume_of_every_workout = []
current_date = all_workouts[0]['Date']
total_volume_of_current_workout = 0
total_volume_of_current_workout = 0
for workout in all_workouts:
if workout['Date'] != current_date:
volume_of_every_workout.append({'Date':current_date,'Total Volume':total_volume_of_current_workout})
total_volume_of_current_workout = 0
current_date = workout['Date']
total_volume_of_current_workout += workout["Weight"] * workout["Reps"]
total_volume_of_current_workout += workout["Weight (kg)"] * workout["Reps"]
if total_volume_of_current_workout != 0:
volume_of_every_workout.append({'Date':current_date,'Total Volume':total_volume_of_current_workout})
if with_plot:
x_axis = []
y_axis = []
for i in volume_of_every_workout:
x_axis.append( dt.datetime.fromisoformat( i["Date"] ))
x_axis.append(dt.datetime.strptime(i["Date"],"%d-%m-%Y %H:%M"))
y_axis.append( i["Total Volume"] )

clist = [(0, "red"), (0.125, "red"), (0.25, "orange"), (0.5, "green"),
(0.7, "green"), (0.75, "blue"), (1, "blue")]
rvb = mcolors.LinearSegmentedColormap.from_list("", clist)
Expand All @@ -69,8 +78,6 @@ def total_volume(with_plot = True):
return volume_of_every_workout




# Best set over time per given exercise
def best_set(exercise_name = "Snatch (Barbell)", with_plot = True):
best_sets = []
Expand All @@ -83,15 +90,15 @@ def best_set(exercise_name = "Snatch (Barbell)", with_plot = True):
best_sets.append({"Date":current_date, "1RM":current_best_set})
current_best_set = 0
current_date = workout["Date"]
if current_best_set <= OneRepMax(workout['Weight'],workout['Reps']):
current_best_set = OneRepMax(workout['Weight'],workout['Reps'])
if current_best_set <= OneRepMax(workout['Weight (kg)'],workout['Reps']):
current_best_set = OneRepMax(workout['Weight (kg)'],workout['Reps'])
if current_best_set != 0:
best_sets.append({"Date":current_date, "1RM":current_best_set})
if with_plot:
x_axis = []
y_axis = []
for i in best_sets:
x_axis.append( dt.datetime.fromisoformat( i["Date"] ))
x_axis.append(dt.datetime.strptime(i["Date"],"%d-%m-%Y %H:%M"))
y_axis.append( i["1RM"] )
plt.style.use('dark_background')
plt.rcParams["figure.figsize"] = (12,7)
Expand All @@ -109,7 +116,6 @@ def best_set(exercise_name = "Snatch (Barbell)", with_plot = True):
return best_sets



# Total volume over time per given exercise
def total_volume_per_exercise(exercise_name = "Snatch (Barbell)", with_plot = True):
volume_of_every_set = []
Expand All @@ -122,14 +128,14 @@ def total_volume_per_exercise(exercise_name = "Snatch (Barbell)", with_plot = Tr
volume_of_every_set.append({"Date":current_date, "Volume":current_sets_volume})
current_sets_volume = 0
current_date = workout["Date"]
current_sets_volume += workout["Weight"] * workout["Reps"]
current_sets_volume += workout["Weight (kg)"] * workout["Reps"]
if current_sets_volume != 0:
volume_of_every_set.append({"Date":current_date, "Volume":current_sets_volume})
if with_plot:
x_axis = []
y_axis = []
for i in volume_of_every_set:
x_axis.append( dt.datetime.fromisoformat( i["Date"] ))
x_axis.append(dt.datetime.strptime(i["Date"],"%d-%m-%Y %H:%M"))
y_axis.append( i["Volume"] )
plt.style.use('dark_background')
plt.rcParams["figure.figsize"] = (12,7)
Expand All @@ -147,8 +153,6 @@ def total_volume_per_exercise(exercise_name = "Snatch (Barbell)", with_plot = Tr
return volume_of_every_set




# PR progression over time per given exercise
def PR_progression(exercise_name = "Snatch (Barbell)", with_plot = True):
current_PR = 0
Expand All @@ -157,8 +161,8 @@ def PR_progression(exercise_name = "Snatch (Barbell)", with_plot = True):
for workout in all_workouts:
if workout["Exercise Name"] != exercise_name:
continue
if current_PR <= OneRepMax(workout["Weight"],workout["Reps"]):
current_PR = OneRepMax(workout["Weight"],workout["Reps"])
if current_PR <= OneRepMax(workout["Weight (kg)"],workout["Reps"]):
current_PR = OneRepMax(workout["Weight (kg)"],workout["Reps"])
current_date = workout["Date"]

all_PRs.append({"Date":current_date, "PR":current_PR})
Expand All @@ -167,7 +171,7 @@ def PR_progression(exercise_name = "Snatch (Barbell)", with_plot = True):
x_axis = []
y_axis = []
for i in all_PRs:
x_axis.append( dt.datetime.fromisoformat( i["Date"] ))
x_axis.append(dt.datetime.strptime(i["Date"],"%d-%m-%Y %H:%M"))
y_axis.append( i["PR"] )
plt.style.use('dark_background')
plt.rcParams["figure.figsize"] = (12,7)
Expand All @@ -185,9 +189,6 @@ def PR_progression(exercise_name = "Snatch (Barbell)", with_plot = True):
return all_PRs





# Max consecutive reps
def max_consecutive_reps(exercise_name = "Snatch (Barbell)", with_plot = True):
most_reps = []
Expand All @@ -208,7 +209,7 @@ def max_consecutive_reps(exercise_name = "Snatch (Barbell)", with_plot = True):
x_axis = []
y_axis = []
for i in most_reps:
x_axis.append( dt.datetime.fromisoformat( i["Date"] ))
x_axis.append(dt.datetime.strptime(i["Date"],"%d-%m-%Y %H:%M"))
y_axis.append( i["Most Reps"] )
plt.style.use('dark_background')
plt.rcParams["figure.figsize"] = (12,7)
Expand All @@ -225,8 +226,6 @@ def max_consecutive_reps(exercise_name = "Snatch (Barbell)", with_plot = True):
plt.clf()
return most_reps



#total_volume()
#best_set()
#total_volume_per_exercise()
Expand Down
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