append dictionary to data frame

Question

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?

Asked By: cs0815

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Source

Answer 1

You don’t assign the value to the result.

output = pd.DataFrame()
output = output.append(dictionary, ignore_index=True)
print(output.head())

Answered By: alex

Answer 2

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())

Answered By: K. Do

Answer 3

I always do it this way because this syntax is less confusing for me.
I believe concat method is recommended though.

df = pd.DataFrame({'col1': [1, 2], 'col2': [3, 4]})
>>>df 
col1  col2
0     1     3
1     2     4

d={'col1': 5, 'col2': 6} 
df.loc[len(df)]=d

>>>df 
col1  col2
0     1     3
1     2     4
2     5     6

Note that iloc method won’t work this way.

Answered By: pawelek69420

append dictionary to data frame

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