pandas read excel
import pandas as pd
pd.read_excel('tmp.xlsx’, sheet_name='Sheet1')pandas read excel
import pandas as pd
pd.read_excel('tmp.xlsx’, sheet_name='Sheet1')pandas read excel
import pandas as pd
pd.read_excel('tmp.xlsx', index_col=0)pandas read from excel
import pandas as pd
pandas.read_excel(io, sheet_name=0, header=0, names=None,
index_col=None, usecols=None,
squeeze=False, dtype=None, engine=None,
converters=None, true_values=None,
false_values=None, skiprows=None,
nrows=None, na_values=None,
keep_default_na=True, verbose=False,
parse_dates=False, date_parser=None,
thousands=None, comment=None,
skipfooter=0, convert_float=True,
mangle_dupe_cols=True, **kwds)
# Example
pd.read_excel('tmp.xlsx', index_col=0)import excel file in python pandas
import pandas as pd
df = pd.read_excel (r'Path where the Excel file is storedFile name.xlsx')pandas excel python
import pandas as pd
# reading in from external file
movies = pd.read_excel('movies.xls')
# prints first five rows
movies.head(n=5)
# prints last five rows
movies.tail(n=5)
# for excel files w/ multiple sheets
movies_sheet1 = pd.read_excel(excel_file, sheetname=0)
movies_sheet2 = pd.read_excel(excel_file, sheetname=1)
movies_sheet2 = pd.read_excel(excel_file, sheetname='name of third sheet')
# sort by column
sorted_by_gross = movies.sort_values(['Gross Earnings'], ascending=False)
# exporting to file
movies.to_excel('output.xlsx')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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