Pandas dataframe.info() function is used to get the concise summary of the dataframe. It prints information of dataframe which include the index dtype and columns, non-null values and memory usage. It is used when doing exploratory analysis of DataFrame. It is used to get a quick overview of datasets of the given dataframe.
Syntax
DataFrame.info(verbose=None, buf=None, max_cols=None, memory_usage=None, null_counts=None)Parameters:
- verbose: It is optional.It is used to indicate wether to print full summary or not.
- buf: It is optional.It is used for where to send the output. By default sys.stdout. If you need to further process the output then pass the writeable buffer.
- max_cols: It is used to determine wether to print full summary or short summary. By default the setting in
pandas.options.display.max_info_columnsis used here. - memory_usage: It is used to specify whether total memory usage of the DataFrame elements should be displayed or not.
- show_counts: It is used to specify wether to show null counts or not.
Return:
It does not return any value it just print the information of the given dataframe.
Example
# import pandas as pd
import pandas as pd
name=['Jack','Monica','Alice','Joey','Rahul','Rohit'] #creating a dataframe
total_marks=[97,93,89,84,78,75]
df=pd.DataFrame({'Name':name,'Total_Marks':total_marks})
df.info()# print the full summaryOutput:
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 6 entries, 0 to 5
Data columns (total 2 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 Name 6 non-null object
1 Total_Marks 6 non-null int64
dtypes: int64(1),object(1)
memory usage: 224.0+bytes- Log in to post comments