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My Python
# Lucas Conklin
# 5772707
import csv
import statistics
def readCSVIntoDictionary(f_name):
data = []
with open(f_name) as f:
reader = csv.reader(f)
for row in reader:
if not data:
for index in range(len(row)):
data.append([])
for index in range(len(row)):
data[index].append(float(row[index]))
f.close()
return data
features = readCSVIntoDictionary("C:\\Users\\lucas\\Downloads\\pima.csv")
row = readCSVIntoDictionary("C:\\Users\\lucas\\Downloads\\pima.csv")
def find_median_and_SD(data, feature):
med = statistics.median(data[feature])
rounded_med = round(med, 4)
st_dev = statistics.stdev(data[feature])
rounded_st_dev = round(st_dev, 5)
return rounded_med, rounded_st_dev
for i in range(0, len(features)):
(median, standard_deviation) = find_median_and_SD(features, i)
print(f'Feature {i} Median: {median} Standard Deviation: {standard_deviation}')
for feature in range(len(features)-1):
valid_data = []
for i in range(len(features[-1])):
current_feat = features[-1][i]
target_feature = 0
if target_feature == current_feat:
valid_data.append(features[feature][i])
print(statistics.median(valid_data))
print(statistics.stdev(valid_data))
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How could this code work if zero_indices were made into a for loop instead of zero_indices = [i for i in range(len(last_column)) if last_column[i] == 0]
def find_nonzero_indices(col):
nonzero_indices = [];
for i in range(len(col)):
if col[i] != 0 :
nonzero_indices.append(i)
return nonzero_indices
features = readCSVIntoDictionary("C:\\Users\\lucas\\Downloads\\pima.csv")
last_column = features[-1]
zero_indices = [i for i in range(len(last_column)) if last_column[i] == 0]
for i in range(len(features[0])):
if i not in zero_indices:
valid_data = [];
for j in range(len(features[-1]):
valid_data.append(features[j][i])
median, stdev = find_median_and_SD(features, i)
print(f"Feature {i} Median: {median} Standard Deviation: {stdev}")
for zero_index in zero_indices:
valid_data = [];
for j in range(len(features[-1]):
if features[j][zero_index] != 0:
valid_data.append(features[j][zero_index])
if valid_data:
avg = sum(valid_data)/len(valid_data)
print(f"Average of non-zero values in row {zero_index}: {avg}")
else:
print(f"There are no non-zero values in row {zero_index}")
How could this code work without
zero_indices = [i for i in range(len(last_column)) if last_column[i] == 0]
def find_nonzero_indices(col):
nonzero_indices = [];
for i in range(len(col)):
if col[i] != 0 :
nonzero_indices.append(i)
return nonzero_indices
features = readCSVIntoDictionary("C:\\Users\\lucas\\Downloads\\pima.csv")
last_column = features[-1]
zero_indices = [i for i in range(len(last_column)) if last_column[i] == 0]
for i in range(len(features[0])):
if i not in zero_indices:
valid_data = [];
for j in range(len(features[-1]):
valid_data.append(features[j][i])
median, stdev = find_median_and_SD(features, i)
print(f"Feature {i} Median: {median} Standard Deviation: {stdev}")
for zero_index in zero_indices:
valid_data = [];
for j in range(len(features[-1]):
if features[j][zero_index] != 0:
valid_data.append(features[j][zero_index])
if valid_data:
avg = sum(valid_data)/len(valid_data)
print(f"Average of non-zero values in row {zero_index}: {avg}")
else:
print(f"There are no non-zero values in row {zero_index}")
How could this be done without the zip() function or enumerate?
How could this code work if zero_indices were made into a for loop instead of zero_indices = [i for i in range(len(last_column)) if last_column[i] == 0]
def find_nonzero_indices(col):
nonzero_indices = [];
for i in range(len(col)):
if col[i] != 0 :
nonzero_indices.append(i)
return nonzero_indices
features = readCSVIntoDictionary("C:\\Users\\lucas\\Downloads\\pima.csv")
last_column = features[-1]
zero_indices = [i for i in range(len(last_column)) if last_column[i] == 0]
for i in range(len(features[0])):
if i not in zero_indices:
valid_data = [];
for j in range(len(features[-1]):
valid_data.append(features[j][i])
median, stdev = find_median_and_SD(features, i)
print(f"Feature {i} Median: {median} Standard Deviation: {stdev}")
for zero_index in zero_indices:
valid_data = [];
for j in range(len(features[-1]):
if features[j][zero_index] != 0:
valid_data.append(features[j][zero_index])
if valid_data:
avg = sum(valid_data)/len(valid_data)
print(f"Average of non-zero values in row {zero_index}: {avg}")
else:
print(f"There are no non-zero values in row {zero_index}")
How could this code work without
zero_indices = [i for i in range(len(last_column)) if last_column[i] == 0]
def find_nonzero_indices(col):
nonzero_indices = [];
for i in range(len(col)):
if col[i] != 0 :
nonzero_indices.append(i)
return nonzero_indices
features = readCSVIntoDictionary("C:\\Users\\lucas\\Downloads\\pima.csv")
last_column = features[-1]
zero_indices = [i for i in range(len(last_column)) if last_column[i] == 0]
for i in range(len(features[0])):
if i not in zero_indices:
valid_data = [];
for j in range(len(features[-1]):
valid_data.append(features[j][i])
median, stdev = find_median_and_SD(features, i)
print(f"Feature {i} Median: {median} Standard Deviation: {stdev}")
for zero_index in zero_indices:
valid_data = [];
for j in range(len(features[-1]):
if features[j][zero_index] != 0:
valid_data.append(features[j][zero_index])
if valid_data:
avg = sum(valid_data)/len(valid_data)
print(f"Average of non-zero values in row {zero_index}: {avg}")
else:
print(f"There are no non-zero values in row {zero_index}")
How could this be done without the zip() function or enumerate?
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