How to change the format of .describe() output?

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I put .describe() to a Dataframe, the output doesn't look nice. I want the output to show the whole number and not be simplified with exponentials.

Input:

df["A"].describe()

How the output looks like:

count    6.000000e+01
mean     7.123568e+04
std      2.144483e+05
min      1.000000e+02
25%      2.770080e+03
50%      1.557920e+04
75%      4.348470e+04
max      1.592640e+06
Name: A, dtype: float64

Expected Output:

count    60.0
mean     7123.568
std      214448.3
min      100.0000
25%      2770.080
50%      15579.20
75%      43484.70
max      1592640.0
Name: A, dtype: float64

You can change the float_format of pandas in pandas set_option

import pandas as pd
import numpy as np

pd.set_option('display.float_format', lambda x: '%.5f' % x)

data = pd.DataFrame()

data['X'] = (np.random.rand(1000, ) + 10000000) * 0.587

data['X'].describe()

# Output 
count      1000.00000
mean    5870000.47894
std           0.28447
min     5870000.00037
25%     5870000.23637
50%     5870000.45799
75%     5870000.71652
max     5870000.99774
Name: X, dtype: float64

Or without using set_option use apply over the output series like this

import pandas as pd
import numpy as np

data = pd.DataFrame()

data['X'] = np.random.rand(1000, ) + 10000000 * 0.587

data['X'].describe().apply("{0:.5f}".format)

#output

count       1000.00000
mean     5870000.48955
std            0.29247
min      5870000.00350
25%      5870000.22416
50%      5870000.50163
75%      5870000.73457
max      5870000.99995

pandas.DataFrame.describe — pandas 1.1.0 documentation, 'all' : All columns of the input will be included in the output. Series([1, 2, 3]) >>> s.describe() count 3.0 mean 2.0 std 1.0 min 1.0 25% 1.5 50% 2.0 75% 2.5 max� Note that SQL.PNO has a format ten spaces wide. You can change this format with the FORMAT clause of TTITLE (or BTITLE). Example 4-22 Formatting a System-Maintained Value in a Title. To close up the space between the word PAGE: and the page number, reenter the TTITLE command as shown:

try to set the float format for the output you get using pandas

import pandas as pd

pd.set_option('display.float_format', lambda x: '%.3f' % x)

Python, Pandas describe() is used to view some basic statistical details like percentile, mean, To download the data set used in following example, click here. As shown in the output image, Statistical description of dataframe was� Text output format. The text format organizes the AWS CLI output into tab-delimited lines. It works well with traditional Unix text tools such as grep, sed, and awk, and the text processing performed by PowerShell. The text output format follows the basic structure shown below. The columns are sorted alphabetically by the corresponding key

you can use

df["A"].describe(include=['category'])

Run Calculations and Summary Statistics on Pandas Dataframes , Each data structure has its own set of methods, based on how the data The output of .describe() is provided in a nicely formatted dataframe. The output file has a great format however is there a way to add an extra column that contains the actual target-seq (sequence of the matched hit)? Such that the fields are: query id, subject id, % identity, alignment length, mismatches, gap opens, q. start, q. end, s. start, s. end, evalue, bit score, sequence Thanks! TJC

Pandas DataFrame: describe() function, 'all' : All columns of the input will be included in the output. A list-like of dtypes : Limits the results to the provided data types. To limit the result to� The str.format() method of strings help a user to get a fancier Output User can do all the string handling by using string slicing and concatenation operations to create any layout that user wants. The string type has some methods that perform useful operations for padding strings to a given column width.

DESCRIBE TABLE — Snowflake Documentation, If a masking policy is not set on the column, Snowflake returns NULL . To post- process the output of this command, you can use the RESULT_SCAN function, which treats the output as a table that can be queried. Create an example table :. format style changes the output display format in the Command Window to the format specified by style. example format , by itself, resets the output format to the default, which is the short, fixed-decimal format for floating-point notation and loose line spacing for all output lines.

Output: Sep/15/2018 And here is how you can get the month only: print(x.strftime('%B')) Output: September Let us display the year: print(x.strftime('%Y')) Output: 2018 In this example we have used the format code %Y. Notice that the Y is in uppercase. Now write it in lowercase: print(x.strftime('%y')) Output: 18 This time, the century has been

Comments
  • Possible duplicate of How do I print entire number in Python from describe() function?
  • Hi thank you so much both methods works! I have something to clarify, for using set_option, does it means that if i used set_option, calling .describe() multiple times, output will have always 5 decimal places ?
  • if you use set_option and changed the float_format pandas will display float in the provided float_format throughout the code