Plot histogram python

Matplotlib histogram

import matplotlib.pyplot as plt
data = [1.7,1.8,2.0,2.2,2.2,2.3,2.4,2.5,2.5,2.5,2.6,2.6,2.8,
        2.9,3.0,3.1,3.1,3.2,3.3,3.5,3.6,3.7,4.1,4.1,4.2,4.3]
#this histogram has a range from 1 to 4
#and 8 different bins
plt.hist(data, range=(1,4), bins=8)
plt.show()

Plot histogram python

import matplotlib.pyplot as plt	
  	data = [1.7,1.8,2.0,2.2,2.2,2.3,2.4,2.5,2.5,2.5,2.6,2.6,2.8,
    2.9,3.0,3.1,3.1,3.2,3.3,3.5,3.6,3.7,4.1,4.1,4.2,4.3]
  	plt.hist(data)
    plt.title('Histogram of Data')
    plt.xlabel('data')
    plt.ylabel('count')

Plt.hist using bins

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

Source: matplotlib.org

Matplotlib histogram

import pyplot from matplotlib as plt
plt.hist(x, bins=None, range=None, density=False, weights=None, cumulative=False, bottom=None, histtype='bar', align='mid', orientation='vertical', rwidth=None, log=False, color=None, label=None, stacked=False, *, data=None, **kwargs)

How to use histogram in python

import matplotlib.pyplot as plt
import numpy as np
from matplotlib import colors
from matplotlib.ticker import PercentFormatter
 
 
# Creating dataset
np.random.seed(23685752)
N_points = 10000
n_bins = 20
 
# Creating distribution
x = np.random.randn(N_points)
y = .8 ** x + np.random.randn(10000) + 25
legend = ['distribution']
 
# Creating histogram
fig, axs = plt.subplots(1, 1,
                        figsize =(10, 7),
                        tight_layout = True)
 
 
# Remove axes splines
for s in ['top', 'bottom', 'left', 'right']:
    axs.spines[s].set_visible(False)
 
# Remove x, y ticks
axs.xaxis.set_ticks_position('none')
axs.yaxis.set_ticks_position('none')
   
# Add padding between axes and labels
axs.xaxis.set_tick_params(pad = 5)
axs.yaxis.set_tick_params(pad = 10)
 
# Add x, y gridlines
axs.grid(b = True, color ='grey',
        linestyle ='-.', linewidth = 0.5,
        alpha = 0.6)
 
# Add Text watermark
fig.text(0.9, 0.15, 'Jeeteshgavande30',
         fontsize = 12,
         color ='red',
         ha ='right',
         va ='bottom',
         alpha = 0.7)
 
# Creating histogram
N, bins, patches = axs.hist(x, bins = n_bins)
 
# Setting color
fracs = ((N**(1 / 5)) / N.max())
norm = colors.Normalize(fracs.min(), fracs.max())
 
for thisfrac, thispatch in zip(fracs, patches):
    color = plt.cm.viridis(norm(thisfrac))
    thispatch.set_facecolor(color)
 
# Adding extra features   
plt.xlabel("X-axis")
plt.ylabel("y-axis")
plt.legend(legend)
plt.title('Customized histogram')
 
# Show plot
plt.show()

Source: geeksforgeeks.org

Similar codes

13 votes97 views4 answers
Python get screen size
Python
0 vote113 views1 answer
Yml anaconda
Python
0 vote99 views1 answer
Openmp for loop
Python
0 vote100 views1 answer
Creating a frequency table | generating a frequency table
Python
1 vote97 views2 answers
Pandas index to datetime
Python
1 vote108 views1 answer
Find sum of values in a column that corresponds to unique vallues in another coulmn python
Python
0 vote102 views1 answer
How to check if given primary key exists in django model
Python
2 votes102 views1 answer
Check corently installed epython version
Python
2 votes103 views1 answer
Read a csv file in pandas
Python
-1 vote116 views1 answer
Django template filter
Python Django