[FIXED] Write Dataframe into ODS format

Issue

I am reading a .xlxs file using pandas library and extracting the dataframe. Now I am trying to create a file with .ods extension and write the dataframe into it using pyexcel_ods library. Here is my code :--

import pandas as pd
from pyexcel_ods import save_data
from collections import OrderedDict

self.current_df = pd.read_excel('filename')
data = OrderedDict()
data.update(df)
save_data("as.ods", data)

It is throwing Error

{TypeError}'int' object is not iterable

Feel free to ask for more code.

Note :-- I am using Python 3.

Solution

Soham try this, I think the issue with your solution is that the save_data function from py_ods is not getting the data in the format that it needs.

The explanation is in the comments.

# coding: utf-8

import pandas as pd
from pyexcel_ods import save_data
from collections import OrderedDict

def save_ods_from_excel(excel_file, target_ods_file):
    # First read into dataframe
    df = pd.read_excel(excel_file)
    # Change everything to string since we're just writing
    df = df.astype(str)
    # Initiliaze data to be written as an empty list, as pyods needs a list to write
    whole_data_list = []
    # Initiliaze the empty dict() for the data
    d = OrderedDict()
    # Write the columns first to be the first entries 
    whole_data_list.append(list(df.columns))
    # loop through data frame and update the data list
    for index, row in df.iterrows():
        whole_data_list.append(list(row.values))
    # Populate dict() with updated data list
    d.update({"Moved sheet": whole_data_list})
    # Finally call save_data() from pyods to store the ods file
    save_data(target_ods_file, d)

Tried the above with this data from microsoft

>>> save_ods_from_excel('/Users/gkm/Downloads/Financial Sample.xlsx', '/tmp/sample-financial.ods')

More info the pyexcel ods docs

Answered By - Gideon Maina