How to plot with (raw) pandas and without Jupyter notebook-CodePudding

I am aware that pandas offer the opportunity to visualize data with plots. Most of the examples I can find and even pandas docu itself use Jupyter Notebook examples.

This code doesn't work in a row python shell.

#!/usr/bin/env python3
import pandas as pd

df = pd.DataFrame({'A': range(100)})

obj = df.hist(column='A')
# array([[<AxesSubplot:title={'center':'A'}>]], dtype=object)

How can I "show" that? This scripts runs not in an IDE. It runs in a Python 3.9.10 shell interpreter in Windows "Dos-Box" on Windows 10.

Installing jupyter or transfering the data to an external service is not an option in my case.

CodePudding user response：

Try something like this

df = pd.DataFrame({'A': list(range(100))})

df.plot(kind='line')

CodePudding user response：

Simple example:

import numpy as np
import matplotlib.pyplot as plt

data = [1, 2, 2, 2, 4, 1, 2]

counts, bins = np.histogram(data)
plt.hist(bins[:-1], bins, weights=counts)

plt.show()