(Chilkat2-Python) CSV Set Column Name

Demonstrates how to set the name of a column in a CSV.

Chilkat2 Python Downloads install with pip pip3 install chilkat2 or download... Python Module for Windows, Linux, Alpine Linux, MacOS, Solaris

import chilkat2

# We have the following CSV...

# permalink,company,numEmps,category,city,state,fundedDate,raisedAmt,raisedCurrency,round
# lifelock,LifeLock,,web,Tempe,AZ,1-May-07,6850000,USD,b
# mycityfaces,MyCityFaces,7,web,Scottsdale,AZ,1-Jan-08,50000,USD,seed
# flypaper,Flypaper,,web,Phoenix,AZ,1-Feb-08,3000000,USD,a
# infusionsoft,Infusionsoft,105,software,Gilbert,AZ,1-Oct-07,9000000,USD,a
# gauto,gAuto,4,web,Scottsdale,AZ,1-Jan-08,250000,USD,seed

bCrlf = True
sb = chilkat2.StringBuilder()
sb.AppendLine("permalink,company,numEmps,category,city,state,fundedDate,raisedAmt,raisedCurrency,round",bCrlf)
sb.AppendLine("lifelock,LifeLock,,web,Tempe,AZ,1-May-07,6850000,USD,b",bCrlf)
sb.AppendLine("mycityfaces,MyCityFaces,7,web,Scottsdale,AZ,1-Jan-08,50000,USD,seed",bCrlf)
sb.AppendLine("flypaper,Flypaper,,web,Phoenix,AZ,1-Feb-08,3000000,USD,a",bCrlf)
sb.AppendLine("infusionsoft,Infusionsoft,105,software,Gilbert,AZ,1-Oct-07,9000000,USD,a",bCrlf)
sb.AppendLine("gauto,gAuto,4,web,Scottsdale,AZ,1-Jan-08,250000,USD,seed",bCrlf)

csv = chilkat2.Csv()

csv.HasColumnNames = True
success = csv.LoadFromString(sb.GetAsString())

# Get each column name..
numCols = csv.NumColumns
i = 0
while i < numCols :
    print(csv.GetColumnName(i))
    i = i + 1

print("---")

# Change the "numEmps" column name to "employeeCount"
success = csv.SetColumnName(2,"employeeCount")

numCols = csv.NumColumns
i = 0
while i < numCols :
    print(csv.GetColumnName(i))
    i = i + 1

# Use the updated column name...
print("---")
print(csv.GetCellByName(3,"employeeCount"))

# Output should be:

# permalink
# company
# numEmps
# category
# city
# state
# fundedDate
# raisedAmt
# raisedCurrency
# round
# ---
# permalink
# company
# employeeCount
# category
# city
# state
# fundedDate
# raisedAmt
# raisedCurrency
# round
# ---
# 105