问题
I am reading a .csv file, want to extract certain values from it and write these to a new result.csv (B) file. I tried doing this with the code (A), which is only partially working.
In the definition i put all the variables from which i want to eventually extract the matching values out of the .csv file i am reading. (except for "record_id" and "abbreviation", because i will fill these manually)
Now by running code (A), it generates the following output in the result.csv:
Current output
record_id abbreviation patient_id step_count distance ambulation_time velocity cadence normalized_velocity step_time_differential step_length_differential cycle_time_differential step_time step_length step_extremity cycle_time stride_length hh_base_support swing_time stance_time single_supp_time double_supp_time toe_in_out
70520161453 3 292,34 1,67 , 107,8 , 0,004 1,051 0,008 , 96,746 , 1,116 , 2,988 , , , ,
As you can see there are a lot of values missing compared to the desired output (B) as well as some that are shown, but incorrect.
Now the problems i am facing are as follows:
Problem 1
Since i am comparing names in the .csv file i am reading, with the names in my definition (A). Some of them do not exactly match, or get confused with others that partially have the same name.
This is the problem for:
patient_id, velocity, step_time, stride_length, swing_time, stance_time, single_supp_time, double_supp_time, toe_in_out
For example velocity from my definition matches with velocity from the .csv file i am reading, but it also matches with stridevelocitystddev. This is causing the missing value for velocity.
Problem 2
All the following variables contain 2 values instead of 1, for example step_time contains the value 0,558 & 0,554. For all of these variables containing 2 values, i want to calculate the avarage of the two and then only write the average (in this example the average of 0,558 & 0,554 = 0,56) to the result.csv belonging to step_time.
step_time, step_length, cycle_time, stride_length, hh_base_support, swing_time, stance_time, single_supp_time, double_supp_time, toe_in_out
Hopefully someone can help me fix these problems, will be appreciated!
Feel free to play with the export file i am using, you can download it here: CSV export file
(A) Python code
import csv
from collections import defaultdict
from datetime import datetime
data = defaultdict(str)
result = 'path/to/file/result_%s.csv'%datetime.now().strftime('%b-%d-%Y_%H%M')
#Make a list with the predefined variables
definition = ["record_id", "abbreviation", "patient_id", "step_count", "distance", "ambulation_time", "velocity", "cadence", "normalized_velocity", "step_time_differential", "step_length_differential", "cycle_time_differential", "step_time", "step_length", "step_extremity", "cycle_time", "stride_length", "hh_base_support", "swing_time", "stance_time", "single_supp_time", "double_supp_time", "toe_in_out"]
#Read the GaitRite .csv
with open('path/to/file/Export 4.csv', 'r') as f, open(result, 'w') as outfile:
reader = csv.reader(f, delimiter=';')
next(reader, None) # skip the headers
writer = csv.DictWriter(outfile, fieldnames=definition, lineterminator='\n')
writer.writeheader()
#Read the .csv row by row
for row in reader:
for item in definition:
h = item.replace('_', '')
r0 = row[0].lower().replace(' ', '')
if h in r0:
try:
avg = round((float(row[1].replace(',', '.')) + float(row[2].replace(',', '.'))) / 2, 2)
data[item] = avg
except ValueError:
avg = 0 # for cases with entry strings or commas
data[item] = row[1]
data['record_id'] = datetime.now().strftime('%m%d%Y%H%M')
# Write the clean result.csv
writer.writerow(data)
(B) Desired .csv output
record_id abbreviation patient_id step_count distance ambulation_time velocity cadence normalized_velocity step_time_differential step_length_differential cycle_time_differential step_time step_length step_extremity cycle_time stride_length hh_base_support swing_time stance_time single_supp_time double_supp_time toe_in_out
70520161453 25 3 292,34 1,67 175,1 107,8 0,004 1,051 0,008 0,56 97,27 1,11 194,64 4,65 0,47 0,65 0,47 0,18 1,45
来源:https://stackoverflow.com/questions/38206262/python-3-read-from-write-values-to-a-csv