["python","pandas","dataframe","concatenation"]
Concatenate a list of pandas dataframes together

I have a list of Pandas dataframes that I would like to combine into one Pandas dataframe. I am using Python 2.7.10 and Pandas 0.16.2 I created the list of dataframes from: import pandas as pd dfs = [] sqlall = "select * from mytable" for chunk in pd.read_sql_query(sqlall , cnxn, chunksize=10000): dfs.append(chunk) This returns a list of dataframes type(dfs[0]) Out[6]: pandas.core.frame.DataFrame type(dfs) Out[7]: list len(dfs) Out[8]: 408 Here is some sample data # sample dataframes d1 = pd.DataFrame({'one' : [1., 2., 3., 4.], 'two' : [4., 3., 2., 1.]}) d2 = pd.DataFrame({'one' : [5., 6., 7., 8.], 'two' : [9., 10., 11., 12.]}) d3 = pd.DataFrame({'one' : [15., 16., 17., 18.], 'two' : [19., 10., 11., 12.]}) # list of dataframes mydfs = [d1, d2, d3] I would like to combine d1, d2, and d3 into one pandas dataframe. Alternatively, a method of reading a large-ish table directly into a dataframe when using the chunksize option would be very helpful.
Given that all the dataframes have the same columns, you can simply concat them: import pandas as pd df = pd.concat(list_of_dataframes)