forked from tirthajyoti/Design-of-experiment-Python
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Read_Write_CSV.py
42 lines (37 loc) · 1.47 KB
/
Read_Write_CSV.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
import csv
# ==========================================================
# Function for reading a CSV file into a dictionary format
# ==========================================================
def read_variables_csv(csvfile):
"""
Builds a Python dictionary object from an input CSV file.
Helper function to read a CSV file on the disk, where user stores the limits/ranges of the process variables.
"""
dict_key={}
try:
with open(csvfile) as f:
reader = csv.DictReader(f)
fields = reader.fieldnames
for field in fields:
lst=[]
with open(csvfile) as f:
reader = csv.DictReader(f)
for row in reader:
lst.append(float(row[field]))
dict_key[field]=lst
return dict_key
except:
print("Error in reading the specified file from the disk. Please make sure it is in current directory.")
return -1
# ===============================================================
# Function for writing the design matrix into an output CSV file
# ===============================================================
def write_csv(df,filename):
"""
Writes a CSV file on to the disk from the internal Pandas DataFrame object i.e. the computed design matrix
"""
try:
filename=filename+'.csv'
df.to_csv(filename)
except:
return -1