Converting a List of Pandas Series to a single Pandas DataFrame - python-3.x

Question

I am using statsmodels.api on my data set. I have a list of panda series. The panda series has key value pairs. The keys are the names of the columns and the values contain the data. But, I have a list of series where the keys (column names) are repeated. I want to save all of the values from the list of pandas series to a single dataframe where the column names are the keys of the panda series. All of the series in the list have the same keys. I want to save them as a single data frame so that I can export the dataframe as a CSV. Any idea how I can save the keys as my column names of the df and then have the values fill the rest of the information.
Each series in the list returns something like this:
index 0 of the list: <class 'pandas.core.series.Series'>
height 23
weight 10
size 45
amount 9
index 1 of the list: <class 'pandas.core.series.Series'>
height 11
weight 99
size 25
amount 410
index 2 of the list: <class 'pandas.core.series.Series'>
height 3
weight 0
size 115
amount 92
I would like to be able to read a dataframe such that these values are saved as the following:
DataFrame:
height weight size amount
23 10 45 9
11 11 25 410
3 3 115 92

Answer 1

pd.DataFrame(data=your_list_of_series)
When creating a new DataFrame, pandas will accept a list of series for the data argument. The indices of your series will become the column names of the DataFrame.

Answer 2

Not the most efficient way, but this does the trick:
import pandas as pd
series_list =[ pd.Series({ 'height': 23,
'weight': 10,
'size': 45,
'amount': 9
}),
pd.Series({ 'height': 11,
'weight': 99,
'size': 25,
'amount': 410
}),
pd.Series({ 'height': 3,
'weight': 0,
'size': 115,
'amount': 92
})
]
pd.DataFrame( [series.to_dict() for series in series_list] )

Answer 3

Did you try just calling pd.DataFrame() on the list of series? That should just work.
import pandas as pd
series_list = [
pd.Series({
'height': 23,
'weight': 10,
'size': 45,
'amount': 9
}),
pd.Series({
'height': 11,
'weight': 99,
'size': 25,
'amount': 410
}),
pd.Series({
'height': 3,
'weight': 0,
'size': 115,
'amount': 92
})
]
df = pd.DataFrame(series_list)
print(df)
df.to_csv('path/to/save/foo.csv')
Output:
height weight size amount
0 23 10 45 9
1 11 99 25 410
2 3 0 115 92