python - returned objects by read_csv in Pandas -


i using read_csv method in pandas input multiple .csv files. print out objects returned read_csv, , curious differences in output:

for example, 1 printout is:

<class 'pandas.core.frame.dataframe'> int64index: 10 entries, 0 9 data columns (total 5 columns): col_1           10  non-null values col_2           10  non-null values col_3           10  non-null values col_4           10  non-null values col_5           10  non-null values dtypes: int64(5)

while 1 simply:

   col_a  col_b  col_c  col_d  col_e  col_f 0      1      1      1 183227      1 181913 1      2      1      1 183234      1 183003 ...

how should interpret differences in these outputs? why second file not result in dataframe object?

they both dataframes. if output longer few rows, pandas displays summary information in first format won't fill screen.

if want full display, can use .to_string() method on dataframe. is, if df, dataframe, can print df.to_string() see data, if it's long.


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