Python uses pandas and xlsxwriter to read and write xlsx files

-Pastoral- 2020-11-13 08:02:40
python uses pandas xlsxwriter read


existing xlsx The documents are as follows :

 

1. Before reading n Line up all the data

# coding: utf-8
import pandas as pd
# 1. Before reading n Line up all the data
df = pd.read_excel('school.xlsx')# Read xlsx First of all sheet
data1 = df.head(7) # Before reading 7 All the data of the row ,dataFrame structure
data2 = df.values #list form , Read all the data in the table
print(" Get all the values :\n{0}".format(data1)) # Format output
print(" Get all the values :\n{0}".format(data2)) # Format output 


2. Read specific lines , Specific columns

# coding: utf-8
import pandas as pd
# 2. Read specific lines , Specific columns
df = pd.read_excel('school.xlsx') # Read xlsx First of all sheet
data1 = df.ix[0].values # Read all the data in the first row ,0 The first line , No header
data2 = df.ix[1,1] # Read the specified row and column position data
data3 = df.ix[[1,2]].values # Read specified multiple lines
data4 = df.ix[:,[0]].values # Read all rows of the specified column
#data4 = df[u'class'].values # ditto
data5 = df.ix[:,[u'class',u'name']].values # Read all rows of the specified key value column
print(" data :\n{0}".format(data1))
print(" data :\n{0}".format(data2))
print(" data :\n{0}".format(data3))
print(" data :\n{0}".format(data4))
print(" data :\n{0}".format(data5))


3. obtain xlsx File line number , All column names

# coding: utf-8
import pandas as pd
# 3. obtain xlsx File line number , All column names
df = pd.read_excel('school.xlsx') # Read xlsx First of all sheet
print(" Output line number list {}".format(df.index.values)) # obtain xlsx All line numbers of the file
print(" Output column header {}".format(df.columns.values)) # All column names


4. Read xlsx Data conversion to dictionary

# coding: utf-8
import pandas as pd
# 4. Read xlsx Data conversion to dictionary
df = pd.read_excel('school.xlsx') # Read xlsx First of all sheet
test_data=[]
for i in df.index.values:# Get the index of the line number , And traverse it :
# according to i For each row of data And make use of to_dict Turn it into a dictionary
row_data=df.ix[i,['id','name','class','data','stature']].to_dict()
test_data.append(row_data)
print(" The final data is :{0}".format(test_data))


5. Write xlsx file

#coding: utf-8
import xlsxwriter
# Create Workbook
file_name = "first_book.xlsx"
workbook = xlsxwriter.Workbook(file_name)
# Create sheet
worksheet = workbook.add_worksheet('sheet1')
# Write cells
worksheet.write(0, 0, 'id')
worksheet.write(0,1, 'name')
worksheet.write(0,2, 'class')
worksheet.write(0,3, 'data')
# Writing lines
worksheet.write_row(1, 0, [1, 2, 3])
# Write a column , Among them D Need to be capitalized
worksheet.write_column('D2', ['a', 'b', 'c'])
# Close workbook
workbook.close()

Written in xlsx The documents are as follows :

版权声明
本文为[-Pastoral-]所创,转载请带上原文链接,感谢

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