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How to Write Multiple Data Frames in an Excel Sheet
Do data scientists use Excel?How do I merge two data frames in Python Pandas?Excel formula questionIs Excel sufficient for data science?Create new data frames from existing data frame based on unique column valuesCombine Pandas DataFrames with year columnsHow do I compare columns in different data frames?Spearmanr on two pandas dataframesExcel All Possible Combinations for MacOSCategorical data into numeric in excel
$begingroup$
I have multiple data frames with same column names. I want to write them together to an excel sheet stacked vertically on top of each other. And between each, there will be a text occupying a row. This is what I have in mind.
I tried the pandas.ExcelWriter() method, but each dataframe overwrites the previous frame in the sheet, instead of appending.
Note that, I still need multiple sheets for different dataframe, but also multiple dataframes on each sheet. Is it possible? Or any other python library which can dynamically generate the excel sheet from pandas dataframes?
pandas dataframe excel data.table
$endgroup$
add a comment |
$begingroup$
I have multiple data frames with same column names. I want to write them together to an excel sheet stacked vertically on top of each other. And between each, there will be a text occupying a row. This is what I have in mind.
I tried the pandas.ExcelWriter() method, but each dataframe overwrites the previous frame in the sheet, instead of appending.
Note that, I still need multiple sheets for different dataframe, but also multiple dataframes on each sheet. Is it possible? Or any other python library which can dynamically generate the excel sheet from pandas dataframes?
pandas dataframe excel data.table
$endgroup$
add a comment |
$begingroup$
I have multiple data frames with same column names. I want to write them together to an excel sheet stacked vertically on top of each other. And between each, there will be a text occupying a row. This is what I have in mind.
I tried the pandas.ExcelWriter() method, but each dataframe overwrites the previous frame in the sheet, instead of appending.
Note that, I still need multiple sheets for different dataframe, but also multiple dataframes on each sheet. Is it possible? Or any other python library which can dynamically generate the excel sheet from pandas dataframes?
pandas dataframe excel data.table
$endgroup$
I have multiple data frames with same column names. I want to write them together to an excel sheet stacked vertically on top of each other. And between each, there will be a text occupying a row. This is what I have in mind.
I tried the pandas.ExcelWriter() method, but each dataframe overwrites the previous frame in the sheet, instead of appending.
Note that, I still need multiple sheets for different dataframe, but also multiple dataframes on each sheet. Is it possible? Or any other python library which can dynamically generate the excel sheet from pandas dataframes?
pandas dataframe excel data.table
pandas dataframe excel data.table
edited 4 hours ago
Della
asked 4 hours ago
DellaDella
1104
1104
add a comment |
add a comment |
3 Answers
3
active
oldest
votes
$begingroup$
Several dataframes to same sheet from here and here with selected sheet:
# Position the dataframes in the worksheet.
df1.to_excel(writer, sheet_name='Sheet1') # Default position, cell A1.
df2.to_excel(writer, sheet_name='Sheet1', startcol=3)
df3.to_excel(writer, sheet_name='Sheet1', startrow=6)
New contributor
$endgroup$
add a comment |
$begingroup$
an example to write in same sheet:
import pandas as pd
data1 = """
class precision recall
<18 0.0125 12
18-24 0.0250 16
25-34 0.00350 4
"""
data2 = """
class precision recall
<18 0 0
18-24 0.25 6
25-34 0.35 5
"""
#create 2 df for sample
df1 = pd.read_csv(pd.compat.StringIO(data1), sep='s+')
df1.name = "Dataframe1"
df2 = pd.read_csv(pd.compat.StringIO(data2), sep='s+')
df2.name = "Dataframe2"
print(df1);print(df2)
writer = pd.ExcelWriter('e:\test.xlsx',engine='xlsxwriter')
workbook=writer.book
worksheet=workbook.add_worksheet('Result')
writer.sheets['Result'] = worksheet
worksheet.write_string(0, 0, df1.name)
df1.to_excel(writer,sheet_name='Result',startrow=1 , startcol=0)
worksheet.write_string(df1.shape[0] + 4, 0, df2.name)
df2.to_excel(writer,sheet_name='Result',startrow=df1.shape[0] + 5, startcol=0)
output:
if you want to write in different sheets:
import pandas as pd
# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('e:\test.xlsx', engine='xlsxwriter')
# Write each dataframe to a different worksheet. you could write different string like above if you want
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
# Close the Pandas Excel writer and output the Excel file.
writer.save()
New contributor
$endgroup$
add a comment |
$begingroup$
You can open the excel editor and write to it and then save
writer = pd.ExcelWriter('test.xlsx', engine='xlsxwriter')
data.to_excel(writer, sheet_name='Sheet1',
encoding='utf-8', index=False)
writer.save()
Please refer this answer https://stackoverflow.com/questions/34744863/python-how-to-use-excelwriter-to-write-into-an-existing-worksheet
$endgroup$
add a comment |
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3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
Several dataframes to same sheet from here and here with selected sheet:
# Position the dataframes in the worksheet.
df1.to_excel(writer, sheet_name='Sheet1') # Default position, cell A1.
df2.to_excel(writer, sheet_name='Sheet1', startcol=3)
df3.to_excel(writer, sheet_name='Sheet1', startrow=6)
New contributor
$endgroup$
add a comment |
$begingroup$
Several dataframes to same sheet from here and here with selected sheet:
# Position the dataframes in the worksheet.
df1.to_excel(writer, sheet_name='Sheet1') # Default position, cell A1.
df2.to_excel(writer, sheet_name='Sheet1', startcol=3)
df3.to_excel(writer, sheet_name='Sheet1', startrow=6)
New contributor
$endgroup$
add a comment |
$begingroup$
Several dataframes to same sheet from here and here with selected sheet:
# Position the dataframes in the worksheet.
df1.to_excel(writer, sheet_name='Sheet1') # Default position, cell A1.
df2.to_excel(writer, sheet_name='Sheet1', startcol=3)
df3.to_excel(writer, sheet_name='Sheet1', startrow=6)
New contributor
$endgroup$
Several dataframes to same sheet from here and here with selected sheet:
# Position the dataframes in the worksheet.
df1.to_excel(writer, sheet_name='Sheet1') # Default position, cell A1.
df2.to_excel(writer, sheet_name='Sheet1', startcol=3)
df3.to_excel(writer, sheet_name='Sheet1', startrow=6)
New contributor
New contributor
answered 1 hour ago
chacidchacid
414
414
New contributor
New contributor
add a comment |
add a comment |
$begingroup$
an example to write in same sheet:
import pandas as pd
data1 = """
class precision recall
<18 0.0125 12
18-24 0.0250 16
25-34 0.00350 4
"""
data2 = """
class precision recall
<18 0 0
18-24 0.25 6
25-34 0.35 5
"""
#create 2 df for sample
df1 = pd.read_csv(pd.compat.StringIO(data1), sep='s+')
df1.name = "Dataframe1"
df2 = pd.read_csv(pd.compat.StringIO(data2), sep='s+')
df2.name = "Dataframe2"
print(df1);print(df2)
writer = pd.ExcelWriter('e:\test.xlsx',engine='xlsxwriter')
workbook=writer.book
worksheet=workbook.add_worksheet('Result')
writer.sheets['Result'] = worksheet
worksheet.write_string(0, 0, df1.name)
df1.to_excel(writer,sheet_name='Result',startrow=1 , startcol=0)
worksheet.write_string(df1.shape[0] + 4, 0, df2.name)
df2.to_excel(writer,sheet_name='Result',startrow=df1.shape[0] + 5, startcol=0)
output:
if you want to write in different sheets:
import pandas as pd
# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('e:\test.xlsx', engine='xlsxwriter')
# Write each dataframe to a different worksheet. you could write different string like above if you want
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
# Close the Pandas Excel writer and output the Excel file.
writer.save()
New contributor
$endgroup$
add a comment |
$begingroup$
an example to write in same sheet:
import pandas as pd
data1 = """
class precision recall
<18 0.0125 12
18-24 0.0250 16
25-34 0.00350 4
"""
data2 = """
class precision recall
<18 0 0
18-24 0.25 6
25-34 0.35 5
"""
#create 2 df for sample
df1 = pd.read_csv(pd.compat.StringIO(data1), sep='s+')
df1.name = "Dataframe1"
df2 = pd.read_csv(pd.compat.StringIO(data2), sep='s+')
df2.name = "Dataframe2"
print(df1);print(df2)
writer = pd.ExcelWriter('e:\test.xlsx',engine='xlsxwriter')
workbook=writer.book
worksheet=workbook.add_worksheet('Result')
writer.sheets['Result'] = worksheet
worksheet.write_string(0, 0, df1.name)
df1.to_excel(writer,sheet_name='Result',startrow=1 , startcol=0)
worksheet.write_string(df1.shape[0] + 4, 0, df2.name)
df2.to_excel(writer,sheet_name='Result',startrow=df1.shape[0] + 5, startcol=0)
output:
if you want to write in different sheets:
import pandas as pd
# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('e:\test.xlsx', engine='xlsxwriter')
# Write each dataframe to a different worksheet. you could write different string like above if you want
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
# Close the Pandas Excel writer and output the Excel file.
writer.save()
New contributor
$endgroup$
add a comment |
$begingroup$
an example to write in same sheet:
import pandas as pd
data1 = """
class precision recall
<18 0.0125 12
18-24 0.0250 16
25-34 0.00350 4
"""
data2 = """
class precision recall
<18 0 0
18-24 0.25 6
25-34 0.35 5
"""
#create 2 df for sample
df1 = pd.read_csv(pd.compat.StringIO(data1), sep='s+')
df1.name = "Dataframe1"
df2 = pd.read_csv(pd.compat.StringIO(data2), sep='s+')
df2.name = "Dataframe2"
print(df1);print(df2)
writer = pd.ExcelWriter('e:\test.xlsx',engine='xlsxwriter')
workbook=writer.book
worksheet=workbook.add_worksheet('Result')
writer.sheets['Result'] = worksheet
worksheet.write_string(0, 0, df1.name)
df1.to_excel(writer,sheet_name='Result',startrow=1 , startcol=0)
worksheet.write_string(df1.shape[0] + 4, 0, df2.name)
df2.to_excel(writer,sheet_name='Result',startrow=df1.shape[0] + 5, startcol=0)
output:
if you want to write in different sheets:
import pandas as pd
# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('e:\test.xlsx', engine='xlsxwriter')
# Write each dataframe to a different worksheet. you could write different string like above if you want
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
# Close the Pandas Excel writer and output the Excel file.
writer.save()
New contributor
$endgroup$
an example to write in same sheet:
import pandas as pd
data1 = """
class precision recall
<18 0.0125 12
18-24 0.0250 16
25-34 0.00350 4
"""
data2 = """
class precision recall
<18 0 0
18-24 0.25 6
25-34 0.35 5
"""
#create 2 df for sample
df1 = pd.read_csv(pd.compat.StringIO(data1), sep='s+')
df1.name = "Dataframe1"
df2 = pd.read_csv(pd.compat.StringIO(data2), sep='s+')
df2.name = "Dataframe2"
print(df1);print(df2)
writer = pd.ExcelWriter('e:\test.xlsx',engine='xlsxwriter')
workbook=writer.book
worksheet=workbook.add_worksheet('Result')
writer.sheets['Result'] = worksheet
worksheet.write_string(0, 0, df1.name)
df1.to_excel(writer,sheet_name='Result',startrow=1 , startcol=0)
worksheet.write_string(df1.shape[0] + 4, 0, df2.name)
df2.to_excel(writer,sheet_name='Result',startrow=df1.shape[0] + 5, startcol=0)
output:
if you want to write in different sheets:
import pandas as pd
# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('e:\test.xlsx', engine='xlsxwriter')
# Write each dataframe to a different worksheet. you could write different string like above if you want
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
# Close the Pandas Excel writer and output the Excel file.
writer.save()
New contributor
New contributor
answered 59 mins ago
FrenchyFrenchy
1213
1213
New contributor
New contributor
add a comment |
add a comment |
$begingroup$
You can open the excel editor and write to it and then save
writer = pd.ExcelWriter('test.xlsx', engine='xlsxwriter')
data.to_excel(writer, sheet_name='Sheet1',
encoding='utf-8', index=False)
writer.save()
Please refer this answer https://stackoverflow.com/questions/34744863/python-how-to-use-excelwriter-to-write-into-an-existing-worksheet
$endgroup$
add a comment |
$begingroup$
You can open the excel editor and write to it and then save
writer = pd.ExcelWriter('test.xlsx', engine='xlsxwriter')
data.to_excel(writer, sheet_name='Sheet1',
encoding='utf-8', index=False)
writer.save()
Please refer this answer https://stackoverflow.com/questions/34744863/python-how-to-use-excelwriter-to-write-into-an-existing-worksheet
$endgroup$
add a comment |
$begingroup$
You can open the excel editor and write to it and then save
writer = pd.ExcelWriter('test.xlsx', engine='xlsxwriter')
data.to_excel(writer, sheet_name='Sheet1',
encoding='utf-8', index=False)
writer.save()
Please refer this answer https://stackoverflow.com/questions/34744863/python-how-to-use-excelwriter-to-write-into-an-existing-worksheet
$endgroup$
You can open the excel editor and write to it and then save
writer = pd.ExcelWriter('test.xlsx', engine='xlsxwriter')
data.to_excel(writer, sheet_name='Sheet1',
encoding='utf-8', index=False)
writer.save()
Please refer this answer https://stackoverflow.com/questions/34744863/python-how-to-use-excelwriter-to-write-into-an-existing-worksheet
answered 34 mins ago
ItachiItachi
1613
1613
add a comment |
add a comment |
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