export pandas dataframe as excel
df.to_excel(r'C:UsersRonDesktopFile_Name.xlsx', index = False)
#if you omit the file path (must also omit 'r') and
#enter only file_name.xlsx, it will save to your default file location,
# that is, where the file you're reading from is located.write multiple df to excel pandas
# Create a Pandas Excel writer using XlsxWriter as the engine.
with pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter') as writer:
# Write each dataframe to a different worksheet.
final_df.to_excel(writer, sheet_name='Sheet1')
df_unigrams.to_excel(writer, sheet_name='Sheet2')
df_bigrams.to_excel(writer, sheet_name='Sheet3')import excel file in python pandas
import pandas as pd
df = pd.read_excel (r'Path where the Excel file is storedFile name.xlsx')read excel into dataframe python
import pandas as pd
sheet1, sheet2 = None, None
with pd.ExcelFile("PATHFileName.xlsx") as reader:
sheet1 = pd.read_excel(reader, sheet_name='Sheet1')
sheet2 = pd.read_excel(reader, sheet_name='Sheet2')pandas add value to excel column and save
import pandas as pd;
df = pd.read_excel("./YourExcel.xlsx");
YourDataInAList = [12.34,17.56,12.45];
df = df.append({"ColumnName": YourDataInAList}, ignore_index=True)
df.to_excel("./YourNewExcel.xlsx",index=False);read excel file using pandas in python
import sqlite3
import pandas as pd
from sqlalchemy import create_engine
# Read Excel file or sheets using pandas
# Setup code :)
file = "location of Excel file..."
engine = create_engine('sqlite://', echo=False)
df = pd.read_excel(file, sheet_name=sheetname)
df.to_sql("test", engine, if_exists="replace", index=False)
results = engine.execute("Select * from test")
final = pd.DataFrame(results, columns=df.columns)Copyright © 2021 Codeinu
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