["python","python-3.x","pandas","dataframe"]
append dictionary to data frame

I have a function, which returns a dictionary like this: {'truth': 185.179993, 'day1': 197.22307753038834, 'day2': 197.26118010160317, 'day3': 197.19846975345905, 'day4': 197.1490578795196, 'day5': 197.37179265011116} I am trying to append this dictionary to a dataframe like so: output = pd.DataFrame() output.append(dictionary, ignore_index=True) print(output.head()) Unfortunately, the printing of the dataframe results in an empty dataframe. Any ideas?
The previous answer (user alex, answered Aug 9 2018 at 20:09) now triggers a warning saying that appending to a dataframe will be deprecated in a future version. A way to do it is to transform the dictionary to a dataframe and the concatenate the dataframes: output = pd.DataFrame() df_dictionary = pd.DataFrame([dictionary]) output = pd.concat([output, df_dictionary], ignore_index=True) print(output.head())