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import glob
all_data = pd.DataFrame()
path = 'C:\\Users\\Admin\\Desktop\\Notebook\\Week 38 Trip Data\\*.xlsx'
for f in glob.glob(path):
df = pd.read_excel(f, sheet_name=None)
cdf = pd.concat(df.values())
all_data = (all_data.append(cdf,ignore_index=True))
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#1. Create a pandas excel writer instance and name the excel file
xlwriter = pd.ExcelWriter('Customer_Details.xlsx')
#NB: If you don't include a file path like 'C:\Users\Ron\Desktop\File_Name.xlsx'
# It will save to your default folder, that is,
#where the file you're reading from is located.
#2. Write each dataframe to a worksheet with a name
dfName.to_excel(xlwriter, sheet_name = 'Name', index = False)
dfAddress.to_excel(xlwriter, sheet_name = 'Address', index = False)
dfContact.to_excel(xlwriter, sheet_name = 'Contact', index = False)
#3. Close the instance
xlwriter.close()
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# Write multiple DataFrames to Excel files
with pd.ExcelWriter('pandas_to_excel.xlsx') as writer:
df.to_excel(writer, sheet_name='sheet1')
df2.to_excel(writer, sheet_name='sheet2')
# Append to an existing Excel file
path = 'pandas_to_excel.xlsx'
with pd.ExcelWriter(path) as writer:
writer.book = openpyxl.load_workbook(path)
df.to_excel(writer, sheet_name='new_sheet1')
df2.to_excel(writer, sheet_name='new_sheet2')
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import glob
all_data = pd.DataFrame()
path = 'd:/projects/chassis/data/*.xlsx'
for f in glob.glob(path):
df = pd.read_excel(f, sheet_name=None, ignore_index=True, skiprows=6, usecols=8)
cdf = pd.concat(df.values())
all_data = all_data.append(cdf,ignore_index=True)
print(all_data)