89 lines
2.8 KiB
Python
89 lines
2.8 KiB
Python
### Util library for interacting with csv files
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import csv
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def readerWithFunction(filepath, function, arg=None):
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"""Read from a csv and execute a function using each row. Return a sequential list of all values returned by the function.
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filepath -- the path of the csv we're reading\n
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function -- the function we're executing once per row\n
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arg -- if the function takes an additional argument, we pass arg (default None)\n
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"""
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with open(filepath, newline="") as file:
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reader = csv.reader(file, delimiter=",")
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value = []
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for row in reader:
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if arg == None:
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value.append(function(row))
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else:
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value.append(function(row, arg))
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file.close()
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return value
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def dictWriter(filepath, dict, flag="w"):
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"""Completely rewrite a csv using the values in a single dictionary.
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filepath -- the path of the csv, whether or not it exists\n
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dict -- the dictionary to pull all values from\n
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flag -- flag for open() (default "w")\n
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"w" will also activate writeheader()\n
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"""
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with open(filepath, flag, newline="") as file:
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dictWriter = csv.DictWriter(file, fieldnames=dict.keys(), delimiter=",")
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if flag == "w":
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dictWriter.writeheader()
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dictWriter.writerow(dict)
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file.close()
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def dictReaderFirstRow(filepath):
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"""Get a dictionary of the first (non-header) row of values in a csv
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filepath -- the path of the csv\n
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"""
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with open(filepath, newline="") as file:
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dict = {}
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dictReader = csv.DictReader(file)
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for row in dictReader:
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firstRow = True
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if firstRow:
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dict = row
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firstRow = False
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file.close()
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return dict
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def dictReaderMultiRow(filepath, idName):
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"""Get a dictionary of dictionaries of the (non-header) row of values in a csv
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filepath -- the path of the csv\n
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idName -- the property in the header of the csv to use as each key of the resulting dictionary\n
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"""
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with open(filepath, newline="") as file:
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dict = {}
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dictReader = csv.DictReader(file)
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for row in dictReader:
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dict[row[idName]] = row
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file.close()
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return dict
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def getIndexOfField(filepath, field):
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"""Get the index (column number) of a field in a csv.
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filepath -- the path of the csv we're searching\n
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field -- the field string we're looking for\n
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"""
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return readerWithFunction(filepath, sub_getIndexOfField, field)[0]
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def sub_getIndexOfField(row, field):
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"""Helper function for getIndexOfField() that can be passed to readerWithFunction().
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row - the array representation of a csv row (presumably the fields row)\n
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field - the field string we're looking for\n
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"""
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return row.index(field)
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