I am trying to concatenate along 2 columns in pandas. The code :
import pandas as pd
import numpy as np
from statsmodels import api as sm
import pandas_datareader.data as web
import datetime
start = datetime.datetime(2015,2,12)
end = datetime.datetime.today()
df = web.get_data_yahoo(['F', '^GSPC'], start, end)
df1 = df.concat(columns=[F['Close'], gspc['Close']], axis=1)
But I am getting the following error:
AttributeError: 'DataFrame' object has no attribute 'concat'
You need to use pd.concat([df1, df2]), because df.concat() doesn't exist.
I'll make you an example:
import pandas as pd
df1 = pd.DataFrame(zip(list('bcdfg'), list('aeiou')), columns=['consonants', 'vowels'])
df2 = pd.DataFrame(range(5), columns=['numbers'])
consonants vowels
0 b a
1 c e
2 d i
3 f o
4 g u
numbers
0 0
1 1
2 2
3 3
4 4
pd.concat([df1, df2], axis=1)
consonants vowels numbers
0 b a 0
1 c e 1
2 d i 2
3 f o 3
4 g u 4
pd.DataFrame() to concatenate. Like this: df3 = pd.concat([df1, df2])As Nicolas mentioned, concat is a top-level function and doesn't have an equivalent pd.DataFrame method. Other than checking the documentation, you can check if there's a concat method by:
import pandas as pd
hasattr(pd.DataFrame, 'concat') # False
hasattr(pd, 'concat') # True
The following are the list of top-level functions that don't have an equivalent pd.DataFrame method:
from inspect import getmembers, isfunction
{n for n,_ in getmembers(pd, isfunction)} - set(dir(pd.DataFrame)) - set(dir(pd.Series))
bdate_range, date_range, interval_range, period_range, timedelta_rangeconcatcrosstabcut, qcutget_dummiesinfer_freqjson_normalizelreshapemerge_asof, merge_orderedread_clipboard, read_csv, read_excel, read_feather, read_fwf, read_gbq, read_hdf, read_html, read_json, read_orc, read_parquet,
read_pickle, read_sas, read_spss, read_sql, read_sql_query,
read_sql_table, read_stata, read_table, read_xmlset_eng_float_formatshow_versionstestto_datetime, to_numeric, to_timedeltawide_to_long