![]() ![]() starting with “s3://”, and “gcs://”) the key-value pairs areįorwarded to fsspec.open. For HTTP(S) URLs the key-value pairsĪre forwarded to as header options. storage_options dict, optionalĮxtra options that make sense for a particular storage connection, e.g. mode, default ‘w’įile mode to use (write or append). datetime_format str, default Noneįormat string for datetime objects written into Excel files. NOTE: can only be passed as a keywordįormat string for dates written into Excel files (e.g. engine str (optional)Įngine to use for writing. Otherwise, call close() to saveĪnd close any opened file handles. The writer should be used as a context manager. See DataFrame.to_excel for typical usage. ExcelWriter ( path, engine = None, date_format = None, datetime_format = None, mode = 'w', storage_options = None, if_sheet_exists = None, engine_kwargs = None ) #Ĭlass for writing DataFrame objects into excel sheets. Index_length = max(df.index.map(_to_str).map(text_length).max(), text_length(df.index.name)) If index: # If the index column is being exported # Compute column width of index column (if enabled) lumn_dimensions.width = column_length * length_factor + margin ![]() # Set width of column to (column_length + margin) # Column index is +1 if we also export the index columnĬol_idx = df.columns.get_loc(column_name) # Convert the value of the columns to string and select theĬolumn_length = max(df.apply(_to_str).map(text_length).max(), text_length(column_name)) + 5 # Compute & set column width for each column _to_str = functools.partial(_to_str_for_length, decimals=decimals) Return str(Decimal(v).quantize(Decimal('1.' + '0' * decimals)).normalize())ĭef auto_adjust_xlsx_column_width(df, writer, sheet_name, margin=3, length_factor=1.0, decimals=3, index=False): Like str() but rounds decimals to predefined length Get the effective text length in characters, taking into account newlines I may be a bit late to the party but this code works when using 'openpyxl' as your engine, sometimes pip install xlsxwriter wont solve the issue. It gets DataFrame and lets you to style it very easily.īy default the columns width is auto-adjusting.įor example: from StyleFrame import StyleFrameĭf = pd.DataFrame( is written as sheet')Ĭall example: writer = write_to_excel(writer, dataframe, "Statistical_Analysis") There is a nice package that I started to use recently called StyleFrame. ![]()
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