Once Pandas has been installed, you can check if it is is working properly by creating a dataset of randomly distributed values and plotting its histogram.
import pandas as pd # This is always assumed but is included here as an introduction.
import numpy as np
import matplotlib.pyplot as plt
np.random.seed(0)
values = np.random.randn(100) # array of normally distributed random numbers
s = pd.Series(values) # generate a pandas series
s.plot(kind='hist', title='Normally distributed random values') # hist computes distribution
plt.show()
Check some of the data's statistics (mean, standard deviation, etc.)
s.describe()
# Output: count 100.000000
# mean 0.059808
# std 1.012960
# min -2.552990
# 25% -0.643857
# 50% 0.094096
# 75% 0.737077
# max 2.269755
# dtype: float64