How to Create a Dataframe Using Describe in Python
To create a dataframe using describe in Python, you can use the describe() function from the pandas library.
The following example shows how to create a dataframe using describe in Python.
Using describe() Function
We can use the describe() function to generate descriptive statistics of a dataframe.
Suppose we have the following dataframe:
# Import pandas library
import pandas as pd
# Create dataframe
df = pd.DataFrame({"A": [89, 74, 85], "B": [25, 62, 63], "C": [12, 23, 22]})
# Use describe() function
df_stat = df.describe()
# Show statistical values
print(df_stat)
Output: 👇️
A B C
count 3.000000 3.000000 3.000000
mean 82.666667 50.000000 19.000000
std 7.767453 21.656408 6.082763
min 74.000000 25.000000 12.000000
25% 79.500000 43.500000 17.000000
50% 85.000000 62.000000 22.000000
75% 87.000000 62.500000 22.500000
max 89.000000 63.000000 23.000000
In this example, we use the describe() function to generate descriptive statistics for the dataframe df.
The output shows the statistical values for the dataframe, including count, mean, standard deviation, minimum, 25th percentile, median, 75th percentile, and maximum.
Conclusion
We can use the describe() function from the pandas library to create a dataframe using describe in Python.