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matplotlib hist adjustment
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import numpy as np | |
import pandas as pd | |
import matplotlib.pyplot as plt | |
np.random.seed(209313920) | |
x = np.random.randint(1, 4, 500) | |
# we can see that the histgram x-ticks seems insensible when the | |
# range of values is small | |
print('A histogram of 500 int64 numbers between 1 and 3') | |
# print(x) | |
plt.hist(x, bins=3, rwidth=0.5) | |
plt.show() | |
# but for a larger range | |
x = np.random.randint(1, 301, 500) | |
print('A histogram of 500 int64 numbers between 1 and 300') | |
plt.hist(x, bins=100, rwidth=0.5) | |
plt.show() | |
# In order to adjust the histogram with small number of bins we specify | |
# the xticks of the plot as show bellow | |
x = np.random.randint(1, 4, 500) | |
# but when we | |
print('A histogram of 500 int64 numbers between 1 and 3') | |
# print(x) | |
plt.hist(x, bins=range(1,5), rwidth=0.5, align='left') | |
plt.xticks(range(7)) | |
plt.show() |
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